Megan Doerr
Impact in
- Health Informatics top 2%
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
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- Ethics in Clinical Research 24
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- Mobile Health and mHealth Applications 8
- Health Policy Implementation Science 3
- Co-authors
- Christine Suver (11 shared papers)John Wilbanks (10 shared papers)Brian M. Bot (6 shared papers)Andrew D. Trister (2 shared papers)E. Ray Dorsey (1 shared paper)J Christopher Bare (1 shared paper)Elias Chaibub Neto (2 shared papers)Arno Klein (1 shared paper)
- Journals
- Journal of Medical Internet Research (3 papers)Scientific Data (3 papers)The Journal of Law Medicine & Ethics (2 papers)JMIR mhealth and uhealth (2 papers)Health Expectations (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Megan Doerr
40 papers receiving 1.0k citations
Megan Doerr's Hit Papers
Peers
Comparison fields: 5 of 113
- Health Informatics 50
- Applied Psychology 145
- General Health Professions 293
- Neurology 151
- Public Health, Environmental and Occupational Health 262
Countries citing papers authored by Megan Doerr
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
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-authors
The 25 scholars most cited alongside Megan Doerr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The mPower study, Parkinson disease mobile data collected using ResearchKit Hit paper breakdown → | 2016 | 404 |
| 2 | 2020 | 62 | |
| 3 | 2018 | 49 | |
| 4 | 2017 | 48 | |
| 5 | 2019 | 48 | |
| 6 | 2017 | 48 | |
| 7 | 2012 | 41 | |
| 8 | 2017 | 39 | |
| 9 | 2018 | 34 | |
| 10 | 2014 | 33 | |
| 11 | 2020 | 27 | |
| 12 | 2018 | 26 | |
| 13 | 2016 | 23 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2024 | 9 |
About Megan Doerr
Megan Doerr is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Genetics, Artificial Intelligence and Physiology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ethics in Clinical Research (24 papers), Mobile Health and mHealth Applications (8 papers), BRCA gene mutations in cancer (6 papers), Biomedical Ethics and Regulation (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Privacy-Preserving Technologies in Data (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Health Policy Implementation Science (3 papers). The work is most often cited by research in Health Informatics (50 citations), Applied Psychology (145 citations), General Health Professions (293 citations), Neurology (151 citations) and Public Health, Environmental and Occupational Health (262 citations). Megan Doerr has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Christine Suver, John Wilbanks, Brian M. Bot, Andrew D. Trister, E. Ray Dorsey, J Christopher Bare, Elias Chaibub Neto, Arno Klein, Michael Kellen and Abhishek Pratap. Their work appears in journals such as Journal of Medical Internet Research, Scientific Data, The Journal of Law Medicine & Ethics, JMIR mhealth and uhealth and Health Expectations.
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.