Sara Gerke

4.5k total citations
59 papers, 2.0k citations indexed

About

Sara Gerke is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health and Artificial Intelligence. According to data from OpenAlex, Sara Gerke has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Health Informatics, 26 papers in Public Health, Environmental and Occupational Health and 12 papers in Artificial Intelligence. Recurrent topics in Sara Gerke's work include Artificial Intelligence in Healthcare and Education (34 papers), Ethics in Clinical Research (19 papers) and Ethics and Social Impacts of AI (9 papers). Sara Gerke is often cited by papers focused on Artificial Intelligence in Healthcare and Education (34 papers), Ethics in Clinical Research (19 papers) and Ethics and Social Impacts of AI (9 papers). Sara Gerke collaborates with scholars based in United States, Denmark and Netherlands. Sara Gerke's co-authors include I. Glenn Cohen, Theodoros Evgeniou, Timo Minssen, Boris Babic, W. Nicholson Price, Carmel Shachar, Ariel Dora Stern, Kristin M. Kostick, Peter R. Chai and Ravi B. Parikh and has published in prestigious journals such as Science, New England Journal of Medicine and JAMA.

In The Last Decade

Sara Gerke

54 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Gerke United States	23	975	423	415	363	237	59	2.0k
Alessandro Blasimme Switzerland	23	854 0.9×	675 1.6×	683 1.6×	320 0.9×	359 1.5×	73	2.8k
W. Nicholson Price United States	15	640 0.7×	456 1.1×	384 0.9×	354 1.0×	159 0.7×	50	2.1k
Danton Char United States	13	771 0.8×	382 0.9×	275 0.7×	368 1.0×	126 0.5×	45	1.6k
David Magnus United States	25	619 0.6×	340 0.8×	804 1.9×	312 0.9×	436 1.8×	70	2.4k
Sandeep Reddy Australia	11	673 0.7×	336 0.8×	233 0.6×	238 0.7×	138 0.6×	43	1.3k
Avishek Choudhury United States	19	866 0.9×	584 1.4×	173 0.4×	273 0.8×	243 1.0×	75	1.8k
Trishan Panch United States	13	576 0.6×	415 1.0×	186 0.4×	316 0.9×	249 1.1×	22	1.6k
Bertalan Meskó Hungary	23	1.5k 1.5×	865 2.0×	467 1.1×	742 2.0×	519 2.2×	50	3.4k
Sally L. Baxter United States	20	879 0.9×	532 1.3×	406 1.0×	854 2.4×	288 1.2×	124	2.7k
Julia Amann Switzerland	14	557 0.6×	451 1.1×	169 0.4×	235 0.6×	177 0.7×	29	1.5k

Countries citing papers authored by Sara Gerke

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sara Gerke

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Gerke. A scholar is included among the top collaborators of Sara Gerke 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 Sara Gerke. Sara Gerke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gerke, Sara, David Simon, & Benjamin R. Roman. (2025). Liability Risks of Ambient Clinical Workflows With Artificial Intelligence for Clinicians, Hospitals, and Manufacturers. JCO Oncology Practice. 22(3). 357–361.

Cabrera, Laura Y., Jennifer K. Wagner, Sara Gerke, & Daniel Susser. (2025). Tempered enthusiasm by interviewed experts for synthetic data and ELSI checklists for AI in medicine. AI and Ethics. 5(3). 3241–3254. 1 indexed citations

Gerke, Sara, et al.. (2025). Bankruptcy, Genetic Information, and Privacy — Selling Personal Information. New England Journal of Medicine. 392(10). 937–939. 3 indexed citations

Gerke, Sara. (2025). The Need for 'Nutrition Facts Labels' and 'Front-Of-Package Nutrition Labeling' For Artificial Intelligence/Machine Learning-Based Medical Devices - Lessons Learned From Food Labeling. SSRN Electronic Journal. 1 indexed citations

Gerke, Sara, et al.. (2024). Privacy of Personal Data in the Generative AI Data Lifecycle. SSRN Electronic Journal.

Gerke, Sara, et al.. (2024). Implications of An Evolving Regulatory Landscape on the Development of AI and ML in Medicine. PubMed. 30. 154–166. 3 indexed citations

Gerke, Sara, et al.. (2024). Health Care AI and Patient Privacy—Dinerstein v Google. JAMA. 331(11). 909–909. 7 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

Berzin, Tyler M., et al.. (2024). Artificial Intelligence and Medical Liability in Gastrointestinal Endoscopy. Clinical Gastroenterology and Hepatology. 22(6). 1165–1169.e1. 4 indexed citations

10.

Cohen, I. Glenn, et al.. (2023). How AI can learn from the law: putting humans in the loop only on appeal. npj Digital Medicine. 6(1). 16 indexed citations

11.

Amann, Julia, Stig Nikolaj Fasmer Blomberg, Helle Collatz Christensen, et al.. (2022). To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems. SHILAP Revista de lepidopterología. 1(2). e0000016–e0000016. 117 indexed citations

12.

Price, W. Nicholson, Sara Gerke, & I. Glenn Cohen. (2022). Liability for Use of Artificial Intelligence in Medicine. SSRN Electronic Journal. 5 indexed citations

13.

Kostick, Kristin M. & Sara Gerke. (2022). AI in the hands of imperfect users. npj Digital Medicine. 5(1). 197–197. 56 indexed citations

14.

Gerke, Sara, et al.. (2021). Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation. Milbank Quarterly. 99(3). 629–647. 91 indexed citations

15.

Babic, Boris, I. Glenn Cohen, Theodoros Evgeniou, & Sara Gerke. (2021). When Machine Learning Goes Off the Rails. SSRN Electronic Journal. 5 indexed citations

16.

Babic, Boris, Sara Gerke, Theodoros Evgeniou, & I. Glenn Cohen. (2021). Direct-to-Consumer Medical Machine Learning and Artificial Intelligence Applications. eYLS (Yale Law School). 2 indexed citations

17.

Gerke, Sara, Boris Babic, Theodoros Evgeniou, & I. Glenn Cohen. (2020). The need for a system view to regulate artificial intelligence/machine learning-based software as medical device. npj Digital Medicine. 3(1). 53–53. 170 indexed citations

18.

Cohen, I. Glenn, Theodoros Evgeniou, Sara Gerke, & Timo Minssen. (2020). The European artificial intelligence strategy: implications and challenges for digital health. The Lancet Digital Health. 2(7). e376–e379. 77 indexed citations

19.

Price, W. Nicholson, Sara Gerke, & I. Glenn Cohen. (2019). Potential Liability for Physicians Using Artificial Intelligence. SSRN Electronic Journal. 1 indexed citations

20.

Aboy, Mateo, Kathleen Liddell, I. Glenn Cohen, et al.. (2019). How does emerging patent case law in the US and Europe affect precision medicine?. Nature Biotechnology. 37(10). 1118–1125. 13 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.

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