Christopher Semturs
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
Papers in
-
- Artificial Intelligence in Healthcare and Education 6
-
- Clinical Reasoning and Diagnostic Skills 2
- Co-authors
- Yun Liu (5 shared papers)Dale R. Webster (7 shared papers)Greg S. Corrado (4 shared papers)Naama Hammel (4 shared papers)Jonathan Krause (4 shared papers)April Y. Maa (2 shared papers)Lily Peng (3 shared papers)Mike Schaekermann (4 shared papers)
- Journals
- Nature (3 papers)Nature Medicine (2 papers)Investigative Ophthalmology & Visual Science (1 paper)JAMA Network Open (1 paper)Ophthalmology (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Christopher Semturs
14 papers receiving 3.1k citations
Christopher Semturs's Hit Papers
Peers
Comparison fields: 5 of 145
- Health Informatics 1.0k
- Family Practice 65
- Health Information Management 128
- Artificial Intelligence 987
- Radiology, Nuclear Medicine and Imaging 502
Countries citing papers authored by Christopher Semturs
This map shows the geographic impact of Christopher Semturs'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 Christopher Semturs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Semturs more than expected).
Fields of papers citing papers by Christopher Semturs
This network shows the impact of papers produced by Christopher Semturs. 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 Christopher Semturs. The network helps show where Christopher Semturs may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Semturs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large language models encode clinical knowledge Hit paper breakdown → | 2023 | 2005 |
| 2 | Toward expert-level medical question answering with large language models Hit paper breakdown → | 2025 | 376 |
| 3 | Towards Generalist Biomedical AI Hit paper breakdown → | 2024 | 247 |
| 4 | Towards conversational diagnostic artificial intelligence Hit paper breakdown → | 2025 | 158 |
| 5 | 2019 | 152 | |
| 6 | Towards accurate differential diagnosis with large language models Hit paper breakdown → | 2025 | 103 |
| 7 | 2024 | 55 | |
| 8 | 2024 | 35 | |
| 9 | 2023 | 25 | |
| 10 | 2024 | 23 | |
| 11 | 2024 | 16 | |
| 12 | 2020 | 13 | |
| 13 | 2024 | 9 | |
| 14 | 2025 | 3 | |
| 15 | Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images | 2019 | 0 |
About Christopher Semturs
Christopher Semturs is a scholar working on Health Informatics, Family Practice, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Applied Psychology, having authored 15 papers that have together received 3.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Topic Modeling (4 papers), Machine Learning in Healthcare (4 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Retinal and Optic Conditions (1 paper), Risk Perception and Management (1 paper), Digital Mental Health Interventions (1 paper) and Patient-Provider Communication in Healthcare (1 paper). The work is most often cited by research in Health Informatics (1.0k citations), Family Practice (65 citations), Health Information Management (128 citations), Artificial Intelligence (987 citations) and Radiology, Nuclear Medicine and Imaging (502 citations). Christopher Semturs has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Yun Liu, Dale R. Webster, Greg S. Corrado, Naama Hammel, Jonathan Krause, April Y. Maa, Lily Peng, Mike Schaekermann, Rory Sayres and Sonia Phene. Their work appears in journals such as Nature, Nature Medicine, Investigative Ophthalmology & Visual Science, JAMA Network Open and Ophthalmology.
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.