Jonathan H. Chen

10.6k total citations · 6 hit papers
198 papers, 5.3k citations indexed

About

Jonathan H. Chen is a scholar working on Artificial Intelligence, Health Information Management and Epidemiology. According to data from OpenAlex, Jonathan H. Chen has authored 198 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 38 papers in Health Information Management and 31 papers in Epidemiology. Recurrent topics in Jonathan H. Chen's work include Machine Learning in Healthcare (44 papers), Electronic Health Records Systems (30 papers) and Artificial Intelligence in Healthcare and Education (21 papers). Jonathan H. Chen is often cited by papers focused on Machine Learning in Healthcare (44 papers), Electronic Health Records Systems (30 papers) and Artificial Intelligence in Healthcare and Education (21 papers). Jonathan H. Chen collaborates with scholars based in United States, Canada and Australia. Jonathan H. Chen's 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 and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

Jonathan H. Chen

176 papers receiving 5.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

2017 646 citations Jonathan H. Chen, Steven M. Asch profile →
Deep learning interpretation of echocardiograms

2020 288 citations David Ouyang, Jonathan H. Chen et al. npj Digital Medicine profile →
Large Language Model Influence on Diagnostic Reasoning

2024 167 citations Jason Hom, Jonathan H. Chen et al. profile →
Mega-scale experimental analysis of protein folding stability in biology and design

2023 139 citations Jonathan H. Chen et al. profile →
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine

2024 104 citations Jonathan H. Chen et al. npj Digital Medicine profile →
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial

2025 35 citations Jason Hom, Jonathan H. Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan H. Chen United States	38	990	882	766	649	630	198	5.3k
Benjamin S. Glicksberg United States	37	1.7k 1.8×	825 0.9×	1.2k 1.5×	515 0.8×	1.1k 1.7×	184	6.7k
Wei‐Qi Wei United States	25	680 0.7×	1.1k 1.2×	393 0.5×	520 0.8×	301 0.5×	100	4.1k
Michael E. Matheny United States	52	1.0k 1.0×	909 1.0×	648 0.8×	1.9k 3.0×	597 0.9×	265	9.7k
Jiang Bian United States	40	2.4k 2.4×	977 1.1×	757 1.0×	490 0.8×	489 0.8×	422	7.2k
William R. Hogan United States	31	1.2k 1.2×	779 0.9×	458 0.6×	823 1.3×	237 0.4×	149	3.8k
Khader Shameer United States	29	495 0.5×	1.1k 1.2×	402 0.5×	277 0.4×	550 0.9×	83	3.7k
Andrew L. Beam United States	26	2.1k 2.2×	513 0.6×	2.0k 2.6×	678 1.0×	1.4k 2.2×	78	6.9k
Girish N. Nadkarni United States	44	685 0.7×	752 0.9×	685 0.9×	950 1.5×	554 0.9×	348	7.7k
Patrick Ryan United States	49	1.3k 1.4×	1.4k 1.6×	222 0.3×	936 1.4×	216 0.3×	217	8.7k
Yong Jiang China	31	782 0.8×	618 0.7×	1.1k 1.4×	2.1k 3.2×	856 1.4×	186	7.3k

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-authorship network of co-authors of Jonathan H. Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Swaminathan, Akshay, et al.. (2025). Clinical entity augmented retrieval for clinical information extraction. npj Digital Medicine. 8(1). 45–45. 10 indexed citations

Zou, James, et al.. (2025). MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents. NEJM AI. 2(9). 7 indexed citations

Sahashi, Yuki, Fatemeh Amrollahi, Hirsh D. Trivedi, et al.. (2025). Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography. NEJM AI. 2(3). 4 indexed citations

Amrollahi, Fatemeh, et al.. (2025). The impact of a best practice advisory for shifting to oral medications: A quality improvement project. Journal of Hospital Medicine. 20(12). 1377–1382. 1 indexed citations

Baiocchi, Michael, et al.. (2024). Establishing best practices in large language model research: an application to repeat prompting. Journal of the American Medical Informatics Association. 32(2). 386–390. 2 indexed citations

Bertz, Jeremiah W., Adam S. Miner, Tina Hernandez‐Boussard, et al.. (2024). Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning. Addiction. 119(10). 1792–1802. 2 indexed citations

Rose, Christian & Jonathan H. Chen. (2024). Learning from the EHR to implement AI in healthcare. npj Digital Medicine. 7(1). 330–330. 6 indexed citations

Swaminathan, Akshay, Tyler Heist, Matthew G. Rubashkin, et al.. (2023). Natural language processing system for rapid detection and intervention of mental health crisis chat messages. npj Digital Medicine. 6(1). 213–213. 17 indexed citations

Belov, Artur, et al.. (2023). Trends in Influenza Vaccination Rates among a Medicaid Population from 2016 to 2021. Vaccines. 11(11). 1712–1712. 1 indexed citations

10.

Nilforoshan, Hamed, Matthew Schwede, Jiaxuan You, et al.. (2023). Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. Journal of Biomedical Informatics. 143. 104407–104407. 3 indexed citations

11.

Falasinnu, Titilola, Thy Nguyen, Suzanne Tamang, et al.. (2023). The Problem of Pain in Rheumatology: Variations in Case Definitions Derived From Chronic Pain Phenotyping Algorithms Using Electronic Health Records. The Journal of Rheumatology. 51(3). 297–304. 1 indexed citations

12.

Stephen, P., Ron Li, Marcy Winget, et al.. (2023). Targeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study. Clinical Biochemistry. 113. 70–77. 11 indexed citations

13.

Rose, Christian, Robert Thombley, Yun Lu, et al.. (2022). Team is brain: leveraging EHR audit log data for new insights into acute care processes. Journal of the American Medical Informatics Association. 30(1). 8–15. 9 indexed citations

14.

Rose, Christian, et al.. (2022). Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care. Journal of Biomedical Informatics. 127. 104004–104004. 11 indexed citations

15.

Nguyen, Minh Hoai, et al.. (2021). Machine learning for initial insulin estimation in hospitalized patients. Journal of the American Medical Informatics Association. 28(10). 2212–2219. 33 indexed citations

16.

Nguyen, Minh Hoai, Conor K. Corbin, Tiffany Eulalio, et al.. (2021). Developing machine learning models to personalize care levels among emergency room patients for hospital admission. Journal of the American Medical Informatics Association. 28(11). 2423–2432. 11 indexed citations

17.

Kumar, Andre, Rachael C. Aikens, Jason Hom, et al.. (2020). OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases. Journal of the American Medical Informatics Association. 27(12). 1850–1859. 13 indexed citations

18.

Guzdial, Matthew, Jonathan H. Chen, Shaoyu Chen, & Mark Riedl. (2017). A General Level Design Editor for Co-Creative Level Design. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 81–83. 5 indexed citations

19.

Chen, Jonathan H., Mary K. Goldstein, Steven M. Asch, & Russ B. Altman. (2016). Usability of an Automated Recommender System for Clinical Order Entry.. AMIA. 2 indexed citations

20.

Parish, Ian A., Heather D. Marshall, Matthew Staron, et al.. (2014). Chronic viral infection promotes sustained Th1-derived immunoregulatory IL-10 via BLIMP-1. Journal of Clinical Investigation. 124(8). 3455–3468. 68 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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