Irene Y. Chen

2.1k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Irene Y. Chen is a scholar working on Oncology, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Irene Y. Chen has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Health Informatics and 7 papers in Artificial Intelligence. Recurrent topics in Irene Y. Chen's work include Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Healthcare cost, quality, practices (3 papers). Irene Y. Chen is often cited by papers focused on Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Healthcare cost, quality, practices (3 papers). Irene Y. Chen collaborates with scholars based in United States, Canada and Taiwan. Irene Y. Chen's co-authors include Marzyeh Ghassemi, Matthew B. A. McDermott, Laleh Seyyed-Kalantari, Haoran Zhang, Peter Szolovits, Tristan Naumann, Andrew L. Beam, Rajesh Ranganath, Peter Schulam and Shalmali Joshi and has published in prestigious journals such as Nature Medicine, The American Journal of Gastroenterology and Health Affairs.

In The Last Decade

Irene Y. Chen

28 papers receiving 995 citations

Hit Papers

Underdiagnosis bias of ar... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Irene Y. Chen 480 384 251 112 111 30 1.0k
Emma Chen 593 1.2× 456 1.2× 414 1.6× 133 1.2× 133 1.2× 13 1.4k
Sumaya N. Almohareb 617 1.3× 294 0.8× 271 1.1× 137 1.2× 173 1.6× 15 1.3k
Atheer Aldairem 617 1.3× 294 0.8× 271 1.1× 137 1.2× 173 1.6× 6 1.2k
Nada Alsuhebany 618 1.3× 297 0.8× 283 1.1× 153 1.4× 173 1.6× 25 1.4k
Melissa D. McCradden 506 1.1× 276 0.7× 221 0.9× 276 2.5× 76 0.7× 48 1.0k
Valentina Bellini 709 1.5× 359 0.9× 328 1.3× 93 0.8× 57 0.5× 63 1.3k
Heather Mattie 327 0.7× 223 0.6× 142 0.6× 91 0.8× 102 0.9× 25 746
Matthew B. A. McDermott 421 0.9× 1.0k 2.7× 316 1.3× 82 0.7× 154 1.4× 23 1.6k
Mustafa Suleyman 672 1.4× 511 1.3× 463 1.8× 128 1.1× 193 1.7× 6 1.4k
Kerstin Noëlle Vokinger 463 1.0× 273 0.7× 340 1.4× 130 1.2× 82 0.7× 68 1.6k

Countries citing papers authored by Irene Y. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Irene Y. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Y. Chen

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

All Works

20 of 20 papers shown
1.
Agrawal, Monica, et al.. (2025). Generative Artificial Intelligence in Medicine. PubMed. 8(1). 199–226. 3 indexed citations
2.
Chen, Irene Y. & Adel K. El‐Naggar. (2025). Lithium Therapy–Associated Thyroid Alterations Mimicking Thyroid Malignancy: A Diagnostic Pitfall. International Journal of Surgical Pathology. 4200156262–4200156262.
3.
Miao, Brenda Y., Irene Y. Chen, Christopher Y. K. Williams, et al.. (2025). The MI-CLAIM-GEN checklist for generative artificial intelligence in health. Nature Medicine. 31(5). 1394–1398. 7 indexed citations
4.
Chen, Irene Y., et al.. (2024). Radiologic-Pathologic Correlation of Cardiac Tumors: Updated 2021 WHO Tumor Classification. Radiographics. 44(6). e230126–e230126.
5.
Lee, Michael J., Huaibin M. Ko, Satoru Kudose, et al.. (2024). High risk features in colorectal adenomatous polyps: A multi-institutional study. Annals of Diagnostic Pathology. 72. 152323–152323. 1 indexed citations
6.
Buhler, Katherine A, et al.. (2024). Systemic lupus in the era of machine learning medicine. Lupus Science & Medicine. 11(1). e001140–e001140. 6 indexed citations
7.
Chen, Irene Y., Richard F. Dunne, & Xiaoyan Liao. (2024). Prognostic implications of tumor histology and microenvironment in surgically resected intrahepatic cholangiocarcinoma: a single institutional experience. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 486(2). 323–332. 2 indexed citations
8.
Chen, Irene Y., Phoenix Bell, Aaron R. Huber, et al.. (2024). SWI/SNF chromatin remodeling complex in pancreatic ductal adenocarcinoma: Clinicopathologic and immunohistochemical study. Human Pathology. 144. 40–45. 2 indexed citations
9.
Jain, Ayush, Marie‐Laure Charpignon, Irene Y. Chen, Anthony Philippakis, & Ahmed M. Alaa. (2023). Generating new drug repurposing hypotheses using disease-specific hypergraphs. PubMed. 29. 261–275. 2 indexed citations
10.
Chen, Irene Y., et al.. (2022). The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It. Health Affairs. 41(2). 212–218. 40 indexed citations
12.
Chen, Irene Y., Jennifer J. Findeis-Hosey, Lisa Cannon, & Xiaoyan Liao. (2021). Primary Colonic Medullary Carcinoma With Exclusive Squamous Differentiation. Anticancer Research. 41(7). 3567–3572. 2 indexed citations
13.
Seyyed-Kalantari, Laleh, Haoran Zhang, Matthew B. A. McDermott, Irene Y. Chen, & Marzyeh Ghassemi. (2021). Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations. Nature Medicine. 27(12). 2176–2182. 361 indexed citations breakdown →
14.
Chen, Irene Y., et al.. (2021). Poorly differentiated neuroendocrine carcinomas of the gastrointestinal tract: A single-institute study of 43 cases. Pathology - Research and Practice. 226. 153614–153614. 10 indexed citations
15.
Chen, Irene Y., Emma Pierson, Sherri Rose, et al.. (2020). Ethical Machine Learning in Health. arXiv (Cornell University). 5 indexed citations
16.
Chen, Irene Y., Shalmali Joshi, & Marzyeh Ghassemi. (2020). Treating health disparities with artificial intelligence. Nature Medicine. 26(1). 16–17. 90 indexed citations
17.
Ghassemi, Marzyeh, Tristan Naumann, Peter Schulam, et al.. (2019). Practical guidance on artificial intelligence for health-care data. The Lancet Digital Health. 1(4). e157–e159. 52 indexed citations
18.
Chen, Irene Y., Peter Szolovits, & Marzyeh Ghassemi. (2019). Can AI Help Reduce Disparities in General Medical and Mental Health Care?. The AMA Journal of Ethic. 21(2). E167–179. 211 indexed citations
19.
Chen, Irene Y., Fredrik Johansson, & David Sontag. (2018). Why Is My Classifier Discriminatory. Chalmers Research (Chalmers University of Technology). 31. 3543–3554. 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026