Megan Doerr

2.2k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Megan Doerr is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Genetics. According to data from OpenAlex, Megan Doerr has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Public Health, Environmental and Occupational Health, 19 papers in General Health Professions and 7 papers in Genetics. Recurrent topics in Megan Doerr's work include Ethics in Clinical Research (24 papers), Mobile Health and mHealth Applications (8 papers) and BRCA gene mutations in cancer (6 papers). Megan Doerr is often cited by papers focused on Ethics in Clinical Research (24 papers), Mobile Health and mHealth Applications (8 papers) and BRCA gene mutations in cancer (6 papers). Megan Doerr collaborates with scholars based in United States, United Kingdom and Australia. Megan Doerr's co-authors include Christine Suver, John Wilbanks, Brian M. Bot, Andrew D. Trister, Stephen Friend, Abhishek Pratap, Elias Chaibub Neto, J Christopher Bare, Arno Klein and Michael Kellen and has published in prestigious journals such as Science, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Megan Doerr

40 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The mPower study, Parkinson disease mobile data collected using ResearchKit

2016 404 citations Brian M. Bot, Christine Suver et al. Scientific Data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Megan Doerr United States	16	293	262	200	151	145	42	1.1k
James Wason United Kingdom	27	203 0.7×	215 0.8×	156 0.8×	90 0.6×	64 0.4×	160	2.8k
James Heywood United States	12	433 1.5×	152 0.6×	105 0.5×	362 2.4×	76 0.5×	19	1.5k
Jan‐Eric Litton Sweden	23	194 0.7×	482 1.8×	232 1.2×	37 0.2×	43 0.3×	45	1.4k
Michael Kellen United States	8	104 0.4×	48 0.2×	135 0.7×	148 1.0×	76 0.5×	11	906
Catherine A. Brownstein United States	20	294 1.0×	73 0.3×	64 0.3×	123 0.8×	58 0.4×	57	1.6k
Paul Cooper United Kingdom	18	121 0.4×	137 0.5×	762 3.8×	291 1.9×	38 0.3×	46	2.2k
Lori McLeod United States	22	143 0.5×	127 0.5×	119 0.6×	33 0.2×	55 0.4×	77	1.9k
Alexander W. Charney United States	21	106 0.4×	95 0.4×	67 0.3×	393 2.6×	53 0.4×	68	2.0k
Andrea Coravos United States	11	252 0.9×	164 0.6×	136 0.7×	52 0.3×	190 1.3×	19	954
Diane D. Allen United States	22	117 0.4×	135 0.5×	86 0.4×	122 0.8×	51 0.4×	65	1.5k

Countries citing papers authored by Megan Doerr

Since Specialization

Citations

This map shows the geographic impact of Megan Doerr's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Megan Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Doerr more than expected).

Fields of papers citing papers by Megan Doerr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan Doerr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Megan Doerr. The network helps show where Megan Doerr may publish in the future.

Co-authorship network of co-authors of Megan Doerr

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Doerr. A scholar is included among the top collaborators of Megan Doerr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan Doerr. Megan Doerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Doerr, Megan, Pamela Feliciano, Stephanie M. Fullerton, et al.. (2025). Transparency and ongoing communication with participants in brain organoid research: Consensus of an interdisciplinary working group. Stem Cell Reports. 20(9). 102546–102546. 2 indexed citations

Yadav, Vijay, Elias Chaibub Neto, Megan Doerr, Abhishek Pratap, & Larsson Omberg. (2025). Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of “All of Us” Research Program Data. Interactive Journal of Medical Research. 14. e56803–e56803.

Velloza, Jennifer, et al.. (2024). An Application of Evidence‐Based Approaches to Engage Young People in the Design of a Global Mental Health Databank. Health Expectations. 27(5). e14172–e14172. 3 indexed citations

Wagner, Jennifer K., et al.. (2024). AI Governance: A Challenge for Public Health. JMIR Public Health and Surveillance. 10. e58358–e58358. 6 indexed citations

Susser, Daniel, Daniel Schiff, Sara Gerke, et al.. (2024). Synthetic Health Data: Real Ethical Promise and Peril. The Hastings Center Report. 54(5). 8–13. 9 indexed citations

Doerr, Megan & Joon‐Ho Yu. (2023). Translational Research and Communities. PubMed. 45(5). 34–38. 2 indexed citations

Doerr, Megan, et al.. (2023). Leveraging IP for AI governance. Science. 379(6633). 646–648. 8 indexed citations

Huston, Sara, Peter Claes, Megan Doerr, et al.. (2021). U.S. Adult Perspectives on Facial Images, DNA, and Other Biometrics. PubMed. 3(1). 9–15. 4 indexed citations

Rothstein, Mark A., John Wilbanks, Laura M. Beskow, et al.. (2020). Unregulated Health Research Using Mobile Devices: Ethical Considerations and Policy Recommendations. The Journal of Law Medicine & Ethics. 48(S1). 196–226. 27 indexed citations

10.

Doerr, Megan & Christi J. Guerrini. (2020). Who Are the People in Your Neighborhood? Personas Populating Unregulated mHealth Research. The Journal of Law Medicine & Ethics. 48(S1). 37–48. 2 indexed citations

11.

Suver, Christine, Felicia C. Goldstein, Cecelia Manzanares, et al.. (2020). Informed Consent in Two Alzheimer’s Disease Research Centers: Insights From Research Coordinators. AJOB Empirical Bioethics. 11(2). 114–124. 4 indexed citations

12.

Suver, Christine, Adrian Thorogood, Megan Doerr, John Wilbanks, & Bartha Maria Knoppers. (2020). Bringing Code to Data: Do Not Forget Governance. Journal of Medical Internet Research. 22(7). e18087–e18087. 14 indexed citations

13.

Doerr, Megan, et al.. (2020). Assessment of theAll of Usresearch program’s informed consent process. AJOB Empirical Bioethics. 12(2). 72–83. 19 indexed citations

14.

Tully, Jeffrey, Andrea Coravos, Megan Doerr, & Christian Dameff. (2020). Connected Medical Technology and Cybersecurity Informed Consent: A New Paradigm. Journal of Medical Internet Research. 22(3). e17612–e17612. 4 indexed citations

15.

Coravos, Andrea, Megan Doerr, Jennifer C. Goldsack, et al.. (2020). Modernizing and designing evaluation frameworks for connected sensor technologies in medicine. npj Digital Medicine. 3(1). 37–37. 62 indexed citations

16.

Hershman, Steven G., Brian M. Bot, Anna Shcherbina, et al.. (2019). Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Scientific Data. 6(1). 24–24. 48 indexed citations

17.

Radin, Jennifer M., Steven R. Steinhubl, Andrew I. Su, et al.. (2018). The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app. npj Digital Medicine. 1(1). 45–45. 34 indexed citations

18.

Doerr, Megan, et al.. (2017). Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study. JMIR mhealth and uhealth. 5(2). e14–e14. 48 indexed citations

19.

Bot, Brian M., Christine Suver, Elias Chaibub Neto, et al.. (2016). The mPower study, Parkinson disease mobile data collected using ResearchKit. Scientific Data. 3(1). 160011–160011. 404 indexed citations breakdown →

20.

Doerr, Megan & Kathryn Teng. (2012). Family history: Still relevant in the genomics era. Cleveland Clinic Journal of Medicine. 79(5). 331–336. 41 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact