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, Haoran Zhang, Laleh Seyyed-Kalantari, Peter Szolovits, Andrew L. Beam, Peter Schulam, Tristan Naumann, Rajesh Ranganath 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irene Y. Chen United States 9 480 384 251 112 111 30 1.0k
Emma Chen United States 7 593 1.2× 456 1.2× 414 1.6× 133 1.2× 133 1.2× 13 1.4k
Sumaya N. Almohareb Saudi Arabia 4 617 1.3× 294 0.8× 271 1.1× 137 1.2× 173 1.6× 15 1.3k
Atheer Aldairem Saudi Arabia 3 617 1.3× 294 0.8× 271 1.1× 137 1.2× 173 1.6× 6 1.2k
Nada Alsuhebany Saudi Arabia 7 618 1.3× 297 0.8× 283 1.1× 153 1.4× 173 1.6× 25 1.4k
Melissa D. McCradden Canada 16 506 1.1× 276 0.7× 221 0.9× 276 2.5× 76 0.7× 48 1.0k
Valentina Bellini Italy 15 709 1.5× 359 0.9× 328 1.3× 93 0.8× 57 0.5× 63 1.3k
Heather Mattie United States 9 327 0.7× 223 0.6× 142 0.6× 91 0.8× 102 0.9× 25 746
Matthew B. A. McDermott United States 12 421 0.9× 1.0k 2.7× 316 1.3× 82 0.7× 154 1.4× 23 1.6k
Mustafa Suleyman United Kingdom 6 672 1.4× 511 1.3× 463 1.8× 128 1.1× 193 1.7× 6 1.4k
Kerstin Noëlle Vokinger Switzerland 19 463 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.
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.
2.
Agrawal, Monica, et al.. (2025). Generative Artificial Intelligence in Medicine. PubMed. 8(1). 199–226. 3 indexed citations
3.
Chen, Irene Y., et al.. (2024). Radiologic-Pathologic Correlation of Cardiac Tumors: Updated 2021 WHO Tumor Classification. Radiographics. 44(6). e230126–e230126.
4.
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
5.
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
6.
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
7.
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
8.
Ge, Jin, Irene Y. Chen, Mark J. Pletcher, & Jennifer C. Lai. (2024). Prompt Engineering for Generative Artificial Intelligence in Gastroenterology and Hepatology. The American Journal of Gastroenterology. 119(9). 1709–1713. 5 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). Imaging and Clinical Findings in a Series of Six Cases of Rare Primary Mediastinal Liposarcoma. Radiology Cardiothoracic Imaging. 4(2). e210259–e210259. 5 indexed citations
11.
Chen, Irene Y., Ellen Giampoli, & Dongwei Zhang. (2022). Ameloblastic Carcinoma of the Maxilla: A Rare Case Report and Review of Literature from 1948 to 2021. International Journal of Surgical Pathology. 31(4). 442–454. 2 indexed citations
12.
Chen, Irene Y., et al.. (2021). Diffuse Pagetoid Squamous Cell Carcinoma in Situ of the Esophagus: A Rare Case Report and Review of Literature. International Journal of Surgical Pathology. 30(3). 326–330. 3 indexed citations
13.
Chen, Irene Y., Christa L. Whitney‐Miller, & Xiaoyan Liao. (2021). Congenital hepatic fibrosis and its mimics: a clinicopathologic study of 19 cases at a single institution. Diagnostic Pathology. 16(1). 81–81. 6 indexed citations
14.
Chen, Irene Y., Emma Pierson, Sherri Rose, et al.. (2020). Ethical Machine Learning in Health. arXiv (Cornell University). 5 indexed citations
15.
Chen, Irene Y., Shalmali Joshi, & Marzyeh Ghassemi. (2020). Treating health disparities with artificial intelligence. Nature Medicine. 26(1). 16–17. 90 indexed citations
16.
Chen, Irene Y., et al.. (2020). Glomus Tumor of the Colon: A Rare Case Report and Review of Literature. International Journal of Surgical Pathology. 28(6). 691–695. 3 indexed citations
17.
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
18.
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
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.

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