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The most common reasons papers get rejected by top journals are:
3. Methodological Flaws and Poor Study Design
6. Non-Adherence to Journal Guidelines
7. Missing Ethical Declarations
8. Ethical Issues: Plagiarism and AI Generated Text/Images
We’ll explore each of these in this article, with steps to prevent or address them proactively.
Introduction
Publishing in top-tier journals is one of the most competitive endeavors in academic science. With acceptance rates as low as 5% at journals like JAMA and NEJM, and rejection rates frequently exceeding 80%–90% at PNAS, PLOS Medicine, and ACS journals, understanding why manuscripts fail is half the battle. Many rejections aren’t due to poor science—they are due to avoidable missteps in submission, presentation, and compliance. Here are 10 of the most common reasons papers get rejected, and how to avoid them.
1. Scope Mismatch
What It Means
Scope mismatch means that the paper is about a topic or issue that isn’t aligned with the journal’s aims and scope. Editors at top journals make rapid triage decisions, often within days. If your paper doesn’t align with a journal’s stated scope and audience, it will be desk-rejected before a single reviewer reads it.
Why It Happens
Authors often misunderstand journal aims and scope, for example, thinking that JAMA will publish anything in medicine. Let’s look at some top journals and what kind of papers they are likely to reject for scope mismatch.
How to Avoid Rejection for Scope Mismatch
- Read the journal’s “Aims and Scope” page and recent editorials to understand what editors are currently prioritizing.
- Review the last 12 months of published articles to gauge tone, study design, and topics.
- When in doubt, write a pre-submission inquiry to the editorial office.
Key Insight: At JAMA, papers that are “specialty-first” rather than “general-medicine” are rejected outright, even if the science is strong. Similarly, NEJM editors enforce a “practice-changing-evidence threshold”—mechanistic papers without immediate clinical translation are routinely desk-rejected.
2. Incorrect Article Type
What It Means
A journal often explicitly excludes certain article types such as case reports or review articles. Submitting such an article to that journal will result in an automatic rejection.
Common Article Type Errors
- Submitting a Case Report to PNAS, which does not publish case reports
- Submitting a narrative review to PLOS ONE, which requires systematic methodology or primary research
- Submitting a Letter as an Original Research article to JACS (ACS), which publishes Articles, Communications, Perspectives, and Spotlights only—and explicitly does not consider “Notes” or “Comments”
- Submitting a systematic review without PRISMA compliance to PLOS Medicine
Article Type Comparison Across Journals
Since the articles types that are most frequently rejected are reviews and letters, we’ve compiled a quick guide of whether various top journals accept these or not.
| Journal | Research Article Word Limit | Allows Reviews? | Allows Letters/Correspondence? |
| NEJM | ~3,400 words | Invited only | Yes |
| JAMA | ~3,000 words | Meta-analyses only | Yes |
| PNAS | ~6 pages (formatted) | Yes | Yes |
| JACS (ACS) | No hard limit stated | Perspectives only | No Notes/Comments |
| mBio (ASM) | No strict limit | MiniReviews only | Yes |
| PLOS ONE | No strict limit | Systematic reviews only | No |
How to Avoid Rejection for Incorrect Article Type
- Match your manuscript to the article types listed in the journal’s author instructions.
- Do not assume a format that works for one journal transfers to another.
3. Methodological Flaws and Poor Study Design
What It Means
Reviewers and editors at top journals scrutinize methodology rigorously. Flawed study design undermines the validity of all findings, regardless of how significant the results appear to be.
Common Methodological Problems
- Inadequate sample size or underpowered study: insufficient power to detect clinically meaningful effects
- Selection bias: non-representative samples that limit generalizability
- Inappropriate controls: no control group or poorly matched comparators
- Lack of blinding: particularly critical for RCTs submitted to NEJM and JAMA
- Missing pre-registration: clinical trials without prior registration on ClinicalTrials.gov or WHO ICTRP are rejected by JAMA, PLOS ONE, and AHA journals
- Inadequate level of theory in computational studies — JACS specifically requires that “the level of theory and methodology employed must be adequate for the problem at hand”
Reviewer Evaluation Criteria at Key Journals
| Journal | Key Methodological Standards |
| PNAS | Research must be “well designed and executed”; methods must “permit replication” |
| PLOS ONE | Methodological soundness, not novelty, is the primary criterion |
| mSphere (ASM) | Structured peer review form assesses whether primary objectives are clearly stated and supported |
| ACS Nano | Manuscripts may be declined for “major technical or interpretational flaws” |
| Circulation (AHA) | CONSORT/STROBE reporting checklists required for clinical studies |
How to Avoid Rejection for Methodological Flaws
- Use the appropriate EQUATOR Network reporting guideline (CONSORT for RCTs, STROBE for observational studies, PRISMA for systematic reviews) while designing, conducting, and reporting the study and crosscheck you have followed it prior to submission.
- Pre-register clinical trials. Late or absent registration leads to immediate rejection at ICMJE-member journals including JAMA, NEJM, PLOS ONE, and all AHA journals.
4. Incremental Contribution
What It Means
Top journals do not publish “more of the same.” If your study replicates known findings with a slightly larger cohort, or extends prior work without a conceptual leap, editors will reject it as insufficiently novel.
What “Novelty” Looks Like Across Journals
| Journal | What They Mean by “Novel” |
| NEJM | Changes clinical practice across a broad physician audience |
| PNAS | Advances science across disciplines; of broad significance to multiple fields |
| JAMA | Decisive evidence that shifts clinical decision-making |
| mBio (ASM) | Of high importance to the entire microbiology community, not a subfield |
| ACS Nano | Clear advance relative to state-of-the-art; not “insufficient advance” |
| PLOS Medicine | Addresses an unmet public health or clinical evidence gap |
Questions to Ask Before Submitting
- What does this paper change about how scientists or clinicians think about this topic?
- Would a non-specialist in my field recognize why this finding matters?
- Does this result close an important knowledge gap, or does it merely add a data point?
Red Flag: Phrases like “to our knowledge, this is the first study in [narrow population] to confirm [previously established finding]” signal incremental work. Editors recognize this framing immediately.
5. Poor Writing
What It Means
Clarity of writing is both a scientific and editorial standard. A manuscript that is difficult to follow (due to grammatical errors, verbose sentences, illogical structure, or unclear figures) undermines confidence in the science itself.
How Poor Writing Causes Rejection
- Language barriers: PLOS ONE states explicitly that “the language in submitted articles must be clear, correct, and unambiguous” and may reject papers or require professional editing before review
- Obscured methods: If methods are described poorly, reviewers cannot assess reproducibility—a core criterion at PNAS, where reviewers are asked whether “presentation of methods will permit replication”
- Disorganized abstracts: JAMA requires a highly structured abstract and a “Key Points” section; missing or poorly written key points are grounds for editorial return
- Figures that cannot stand alone: ACS journals state that “figures are not modified or enhanced by journal production staff”—poorly prepared graphics are a submission-stage problem
Writing Checklist for Top Journals
| Element | Standard |
| Abstract | Conveys the essential contributions and features of the study |
| Introduction | States the gap clearly in the first paragraph |
| Methods | Reproducible; follows EQUATOR checklists wherever applicable |
| Results | Reports data without interpretation |
| Discussion | Addresses limitations and implications explicitly |
| Language | Clear, concise, no ambiguity |
| Figures | High resolution, self-explanatory, properly labeled |
How to Avoid Rejection for Poor Writing
- Use a professional scientific editing service before submission, especially if English is not your first language. Editage, for instance, is recommended by numerous scientific publishers like Sage, BMJ Group, and Wiley.
- Have a colleague outside your subfield read the Introduction and Discussion for clarity.
6. Non-Adherence to Journal Guidelines
What It Means
Every journal has specific formatting, structural, and submission requirements. Ignoring them signals carelessness and creates grounds for immediate rejection or editorial return.
Examples of Guideline Violations
- Word count: JAMA caps research articles at 3,000 words; NEJM at 3,400 words. Exceeding these without prior editorial approval results in return without review.
- Reference limits: JAMA enforces a 35-reference limit strictly. NEJM allows 70. Violations are caught at submission.
- Missing required sections: AHA journals (Circulation, JAHA) require a specific manuscript assembly order: Title Page → Abstract → Text → Acknowledgments → Sources of Funding → Disclosures → References → Figure Legends → Tables → Figures. Missing sections delay or block submission.
- Cover letter omissions: ACS Environmental Au requires a cover letter paragraph explaining “why your manuscript is appropriate” and a “statement confirming the manuscript has not been previously published.”
- Clinical trial registration: Absent registration numbers in the abstract and methods are grounds for immediate rejection at JAMA, PLOS ONE, and all ICMJE-member journals.
How to Avoid Rejection for Incorrect Formatting
- Create a submission checklist from the journal’s author instructions.
- Use the journal’s own checklist tools where available (e.g., JAMA‘s submission package requirements).
- Never assume guidelines are the same across journals in the same family (JAMA and JAMA Cardiology have different requirements).
- Take support from professional manuscript formatting services if you are short on time.
7. Missing Ethical Declarations
What It Means
Research ethics compliance is non-negotiable. Missing, vague, or incorrect ethical declarations—including IRB/ethics committee approval, informed consent statements, data sharing statements, animal welfare compliance, and conflict of interest disclosures—can result in immediate rejection.
Required Declarations by Journal
| Declaration | JAMA | PLOS ONE | AHA Journals | ASM Journals | PNAS |
| IRB / Ethics approval | Required | Required | Required | Required | Required |
| Informed consent | Required | Required | Required | Required | Required |
| Clinical trial registration | Required | Required | Required | Not always | Not always |
| Conflict of interest | Required | Required | Required | Required | Required |
| Data sharing statement | Required | Required | Required | Encouraged | Required |
| AI use disclosure | Required (JAMA updated 2024) | Required | Required | Required | Required |
Key Examples
- AHA journals (Circulation, JAHA): All actual or potential perceived conflicts of interest must be stated. Authors with nothing to disclose must explicitly state “None.”
- PLOS ONE: Studies involving humans, animals, or personal data require explicit ethics approval statements. Papers without them are rejected.
- JAMA: Updated 2024 guidance includes specific IRB considerations for AI use in research design—one of the most detailed AI-ethics integration frameworks among medical journals.
How to Avoid Rejection for Missing Ethics Declarations
- Complete all ethics declarations before preparing the manuscript, not as an afterthought.
- Include the ethics committee name, approval number, and date in the Methods section.
- Follow ICMJE recommendations for conflict of interest disclosure across all clinical journals.
8. Ethical Issues: Plagiarism and AI Generated Text/Images
What It Means
Plagiarism, duplicate submission, and undisclosed or using AI to generate most of the text/images are treated as forms of scientific misconduct. Top journals use detection tools and may report violations to institutional ethics boards.
Plagiarism and Text Recycling
- PLOS journals state unequivocally: “Plagiarism is not acceptable in PLOS submissions. Plagiarized content will not be considered for publication. If plagiarism is identified, we will follow COPE guidelines.”
- Self-plagiarism (reusing your own text without attribution) is also banned by PLOS, except for Methods sections with proper attribution.
- Deliberate failure to cite prior corroborating results, even if not technically plagiarism, is treated as a professional ethics breach by some journals and “can result in summary rejection.”
AI Use Policies
AI policies have evolved rapidly since 2023. The key rules across target journals are:
| Journal/Publisher | AI Policy |
| JAMA | Most comprehensive framework; March 2024 guidance requires detailed disclosure; e.g., if AI was used in the study, the Discussion section must “Discuss the potential for AI-related bias and what was done to identify and mitigate such bias” |
| ACS journals | Detailed AI disclosure required in acknowledgments; December 2024 updates added guidance for AI-generated graphics |
| PLOS journals | Follows COPE guidelines; AI use must be disclosed; AI cannot be an author |
| PNAS | Follows ICMJE; AI cannot be listed as an author; disclosure required |
| ASM journals (mBio, mSphere) | Follow ICMJE guidelines on AI authorship prohibition and disclosure |
What “Overuse of AI” Means in Practice
- Submitting AI-generated text without disclosure is treated as a form of data fabrication.
- AI-generated figures or tables must be disclosed per ACS and JAMA guidelines.
- Using AI to generate the Methods sections introduces reproducibility risks that reviewers flag.
How to Avoid Rejection for Plagiarism, AI-Generated Text, Etc.
- Run all manuscripts through plagiarism detection software (e.g., iThenticate) before submission.
- Disclose all AI tools used, specifying what they were used for (e.g., “Paperpal was used to assist with language editing and all AI output was approved by the authors prior to inclusion in the manuscript”).
- Never list an AI tool as an author. This violates ICMJE standards enforced by all the journals listed here.
9. Unjustified Conclusions
What It Means
Conclusions that go beyond what the data can support are a primary cause of both rejection and post-publication retraction. Reviewers look carefully at whether the claims in the Abstract and Discussion are backed by the Results.
Common Manifestations
- Claiming causality from observational data
- Generalizing findings from a narrow population to a broad one
- Overstating clinical significance from statistically significant but clinically small effects
- Ignoring competing explanations or alternative hypotheses
- Drawing mechanistic conclusions from correlational data
How Different Journals Frame This Standard
- PNAS reviewers are explicitly asked to assess: “Are conclusions supported by data?”
- PNAS Nexus requires that post-hoc exploratory analyses be clearly labeled as such and that “authors should be careful not to base their conclusions entirely on the outcome of statistically significant post hoc analyses”
- NEJM: A statistically significant result with a clinically trivial absolute risk reduction is considered insufficient to justify a practice-changing conclusion. This is a common reason for desk rejection
- PLOS ONE: Conclusions must be rigorously supported; the journal will “reject papers that do not meet these standards”
A Practical Test
Before finalizing your Discussion, ask: “Does every claim in my Conclusion appear explicitly in my Results section?” If the answer is no, revise.
Common Logical Leaps to Avoid
| Overstated Claim | Justifiable Version |
| “Treatment X causes improvement in outcome Y” (from RCT with 60 subjects) | “In this pilot RCT, Treatment X was associated with improvement in Y” |
| “Our findings suggest a global prevalence of Z” (from a single-country cohort) | “These findings, from a [country] cohort, suggest Z; generalizability requires validation” |
| “This mechanism explains disease pathogenesis” (from in vitro data) | “In vitro data suggest a potential role for this pathway; in vivo validation is needed” |
10. Incorrect Data Analysis
What It Means
Errors in statistical or computational analysis, whether in choice of test, execution, or reporting, are among the most serious technical failures in a manuscript. They affect the validity of all results and can lead to immediate rejection or post-publication retraction.
Types of Data Analysis Errors
- Wrong statistical test: using parametric tests on non-normally distributed data; using chi-square when expected cell counts are too low
- Multiple comparisons not corrected: running many tests without adjusting the significance threshold (e.g., Bonferroni, FDR correction)
- P-value misuse: reporting p < 0.05 without effect sizes or confidence intervals
- Confounding variables unaccounted for: failing to adjust for known confounders in observational studies
- Improper handling of missing data: excluding missing data without justification or imputation
- Inadequate computational validation: in JACS and computational chemistry journals, using an inadequate level of theory for the problem
How Journals Evaluate Data Analysis
| Journal | Data Analysis Standard |
| PNAS | Reviewers assess whether “data are unambiguous and properly analyzed” |
| JAMA / NEJM | Statistical review is mandatory. Authors submitting to NEJM have to provide an additional statistical analysis plan that should “contain enough detail to enable someone else to replicate the analysis in a similar data set”. |
| ACS journals | Articles with “seriously flawed or erroneous data such that findings cannot be relied upon” may be retracted |
| PLOS ONE | Results must be “rigorously reported, as appropriate based on community standards” |
| Circulation (AHA) | Biostatistical review required for all clinical trial submissions |
How to Avoid Rejection for Data Issues
- Consult a biostatistician during study design, not after data collection.
- Report effect sizes and confidence intervals for all primary outcomes, not just p-values.
- Follow discipline-specific reporting standards: CONSORT for trials, STROBE for observational studies, ARRIVE for animal studies.
- For computational manuscripts targeting JACS, ensure the level of theory is explicitly justified in the Methods section.
Summary
With acceptance rates as low as 5% at journals like JAMA and NEJM, and rejection rates frequently exceeding 80%–90% at PNAS, PLOS Medicine, and ACS journals, understanding why manuscripts fail is half the battle. Getting published in a top-tier journal is difficult, but it’s easier if you ensure from the outset that your manuscript provides a novel, rigorously tested, well-written contribution to existing knowledge, in alignment with the journal’s aims and scope. Many rejections aren’t due to poor science. They are due to avoidable missteps in submission, presentation, and compliance.
