Irene Y. Chen

76 total papers · 2.0k total citations
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, Haoran Zhang, Matthew B. A. McDermott, Laleh Seyyed-Kalantari, Peter Szolovits, Andrew L. Beam, Tristan Naumann, Peter Schulam, 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 967 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 471 382 247 111 111 30 1.0k
Melissa D. McCradden 491 1.0× 273 0.7× 215 0.9× 72 0.6× 271 2.4× 46 1.0k
Sumaya N. Almohareb 570 1.2× 283 0.7× 259 1.0× 164 1.5× 129 1.2× 14 1.2k
Sandeep Reddy 646 1.4× 332 0.9× 236 1.0× 173 1.6× 230 2.1× 42 1.2k
Jonathan Montomoli 540 1.1× 318 0.8× 270 1.1× 47 0.4× 65 0.6× 36 1.1k
Suresh Balu 429 0.9× 368 1.0× 158 0.6× 203 1.8× 178 1.6× 54 1.1k
Robert Challen 282 0.6× 177 0.5× 168 0.7× 62 0.6× 110 1.0× 19 1.1k
Tirth Dave 714 1.5× 283 0.7× 310 1.3× 41 0.4× 93 0.8× 43 1.0k
D. Douglas Miller 312 0.7× 203 0.5× 273 1.1× 101 0.9× 74 0.7× 23 823
Stan Benjamens 400 0.8× 206 0.5× 268 1.1× 64 0.6× 158 1.4× 34 961
Constanza L. Andaur Navarro 419 0.9× 352 0.9× 287 1.2× 109 1.0× 107 1.0× 17 1.1k

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

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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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