Ten simple rules for being a co-author on a many-author non-empirical paper

Many-author non-empirical papers include "how to" articles, recommendations or consensus statements, roadmaps for future research, catalogs of ideas, or calls to action. These papers benefit the research community and broader academic ecosystem by addressing unmet needs or introducing new perspectives and approaches. Large, diverse authorship teams that examine an issue from many different perspectives can create valuable resources that individual co-authors could not develop independently, or in smaller groups. Realizing the potential of many-author non-empirical papers, however, requires very different strategies than researchers would typically use to write papers with fewer authors. In our process, a core team of lead writers typically works together to lead the content generation and writing processes, while many co-authors collaboratively create content and provide feedback on outlines and drafts. Challenges for co-authors may include learning to write a different type of paper, adapting to high-volume feedback, and understanding the very diverse perspectives shared by fellow co-authors. This paper outlines ten simple rules for being a co-author on a many-author non-empirical paper. Although the rules were developed for papers with at least 30 authors, some rules may be useful for many-author research papers or for non-empirical papers with fewer authors. Co-authors may also want to consult our companion paper on ten simple rules for leading a many-author non-empirical paper, as understanding the challenges faced by lead writers will help co-authors to contribute more efficiently and effectively.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-08-14
DOI
https://doi.org/10.1371/journal.pcbi.1013317
Citations
2
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
8.40

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article

Ten simple rules for being a co-author on a many-author non-empirical paper

Natascha Drude, Friederike E. Kohrs, Anita Bandrowski, Tracey L. Weissgerber
2 citations
PLoS Computational Biology
Delphi Technique in Research
8.40
article

Ten simple rules for being a co-author on a many-author non-empirical paper

Natascha Drude, Friederike E. Kohrs, Anita Bandrowski, Tracey L. Weissgerber
article en
2 citations

Abstract

Many-author non-empirical papers include "how to" articles, recommendations or consensus statements, roadmaps for future research, catalogs of ideas, or calls to action. These papers benefit the research community and broader academic ecosystem by addressing unmet needs or introducing new perspectives and approaches. Large, diverse authorship teams that examine an issue from many different perspectives can create valuable resources that individual co-authors could not develop independently, or in smaller groups. Realizing the potential of many-author non-empirical papers, however, requires very different strategies than researchers would typically use to write papers with fewer authors. In our process, a core team of lead writers typically works together to lead the content generation and writing processes, while many co-authors collaboratively create content and provide feedback on outlines and drafts. Challenges for co-authors may include learning to write a different type of paper, adapting to high-volume feedback, and understanding the very diverse perspectives shared by fellow co-authors. This paper outlines ten simple rules for being a co-author on a many-author non-empirical paper. Although the rules were developed for papers with at least 30 authors, some rules may be useful for many-author research papers or for non-empirical papers with fewer authors. Co-authors may also want to consult our companion paper on ten simple rules for leading a many-author non-empirical paper, as understanding the challenges faced by lead writers will help co-authors to contribute more efficiently and effectively.

PLoS Computational BiologyVol. 21(8)
University of San Diego (US), University of California San Diego (US), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Launchpad Central (United States) (US), University of Coimbra (PT)
Wellcome Trust, Berlin Institute of Health, HORIZON EUROPE Framework Programme, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 3%
Delphi Technique in Research
8.40
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