Jonathan H. Chen

10.6k citations
198 papers · 5.3k indexed · 6 hit papers · h-index 38

Impact in

Papers in

Jonathan H. Chen

176 papers receiving 5.2k citations

Hit Papers

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial 2025 · 35 citations
352017202620202023200400600

Peers

Jonathan H. Chen
Comparison fields: 5 of 201
  • Health Informatics 766
  • Health Information Management 567
  • Family Practice 167
  • Artificial Intelligence 990
  • Critical Care and Intensive Care Medicine 150
Replace Michael E. Matheny with:
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Jonathan H. Chen relative to Michael E. Matheny United States Michael E. Matheny's profile →
Citations per field
00.5×1.5×2.1×
Michael E. Matheny · 1×
Citations per year

Countries citing papers authored by Jonathan H. Chen

Since Specialization
Citations

This map shows the geographic impact of Jonathan H. Chen'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 Jonathan H. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan H. Chen more than expected).

Fields of papers citing papers by Jonathan H. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan H. Chen. 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 Jonathan H. Chen. The network helps show where Jonathan H. Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan H. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan H. Chen Line = papers co-authored together Jonathan H. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202510
2 20257
3 20254
4 20251
5 20242
6 20242
7 20246
8 202317
9 20231
10 20233
11 20231
12 202311
13 20229
14 202211
15 202133
16 202111
17 202013
18 20175
19
Usability of an Automated Recommender System for Clinical Order Entry.
20162
20 201468

About Jonathan H. Chen

Jonathan H. Chen is a scholar working on Health Informatics, Health Information Management, Family Practice, Medical Terminology and Applied Microbiology and Biotechnology, having authored 198 papers that have together received 5.3k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (44 papers), Electronic Health Records Systems (30 papers), Artificial Intelligence in Healthcare and Education (21 papers), Biomedical Text Mining and Ontologies (11 papers), Clinical Reasoning and Diagnostic Skills (11 papers), Clinical practice guidelines implementation (10 papers), Healthcare Systems and Technology (8 papers) and Artificial Intelligence in Healthcare (8 papers). The work is most often cited by research in Health Informatics (766 citations), Health Information Management (567 citations), Family Practice (167 citations), Artificial Intelligence (990 citations) and Critical Care and Intensive Care Medicine (150 citations). Jonathan H. Chen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Steven M. Asch, Pierre Baldi, S. Joshua Swamidass, Russ B. Altman, Jason Hom, David Ouyang, Nigam H. Shah, Jocelyne Bruand, Anna Lembke and Susan M. Kaech. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, JAMA Network Open, Journal of Hospital Medicine and Journal of Biomedical Informatics.

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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