Sara Gerke
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
Papers in
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- Artificial Intelligence in Healthcare and Education 35
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- Ethics in Clinical Research 18
- Co-authors
- I. Glenn Cohen (25 shared papers)Theodoros Evgeniou (9 shared papers)Timo Minssen (10 shared papers)Boris Babic (8 shared papers)W. Nicholson Price (4 shared papers)Carmel Shachar (7 shared papers)Ariel Dora Stern (1 shared paper)Kristin M. Kostick (3 shared papers)
- Journals
- npj Digital Medicine (6 papers)JAMA (5 papers)Science (3 papers)Journal of Law and the Biosciences (2 papers)Milbank Quarterly (2 papers)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Sara Gerke
59 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 149
- Health Informatics 962
- Family Practice 46
- Safety Research 216
- Health Information Management 106
- Medical Laboratory Technology 22
Countries citing papers authored by Sara Gerke
This map shows the geographic impact of Sara Gerke'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 Sara Gerke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Gerke more than expected).
Fields of papers citing papers by Sara Gerke
This network shows the impact of papers produced by Sara Gerke. 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 Sara Gerke. The network helps show where Sara Gerke may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Gerke, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 304 | |
| 2 | 2020 | 176 | |
| 3 | 2021 | 140 | |
| 4 | 2022 | 129 | |
| 5 | 2020 | 118 | |
| 6 | 2020 | 106 | |
| 7 | 2021 | 102 | |
| 8 | 2020 | 90 | |
| 9 | 2020 | 81 | |
| 10 | 2019 | 71 | |
| 11 | 2023 | 66 | |
| 12 | 2020 | 64 | |
| 13 | 2021 | 62 | |
| 14 | 2022 | 62 | |
| 15 | 2022 | 51 | |
| 16 | 2020 | 40 | |
| 17 | 2020 | 35 | |
| 18 | 2021 | 34 | |
| 19 | 2023 | 30 | |
| 20 | 2020 | 29 |
About Sara Gerke
Sara Gerke is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health, Artificial Intelligence, Safety Research and General Health Professions, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (35 papers), Ethics in Clinical Research (18 papers), Ethics and Social Impacts of AI (8 papers), Biomedical Ethics and Regulation (6 papers), Privacy-Preserving Technologies in Data (5 papers), Medical Malpractice and Liability Issues (5 papers), Healthcare cost, quality, practices (4 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (962 citations), Family Practice (46 citations), Safety Research (216 citations), Health Information Management (106 citations) and Medical Laboratory Technology (22 citations). Sara Gerke has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include I. Glenn Cohen, Theodoros Evgeniou, Timo Minssen, Boris Babic, W. Nicholson Price, Carmel Shachar, Ariel Dora Stern, Kristin M. Kostick, George Maliha and Ravi B. Parikh. Their work appears in journals such as npj Digital Medicine, JAMA, Science, Journal of Law and the Biosciences and Milbank Quarterly.
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.