Gerald C Hsu

213 total papers · 636 total citations
75 papers, 337 citations indexed

About

Gerald C Hsu is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine and Computer Science Applications. According to data from OpenAlex, Gerald C Hsu has authored 75 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Health Information Management, 26 papers in Cardiology and Cardiovascular Medicine and 17 papers in Computer Science Applications. Recurrent topics in Gerald C Hsu's work include Artificial Intelligence in Healthcare (30 papers), Cardiovascular Health and Risk Factors (24 papers) and Scientific Research and Technology (17 papers). Gerald C Hsu is often cited by papers focused on Artificial Intelligence in Healthcare (30 papers), Cardiovascular Health and Risk Factors (24 papers) and Scientific Research and Technology (17 papers). Gerald C Hsu collaborates with scholars based in United States, Canada and Myanmar. Gerald C Hsu's co-authors include Michael T. Hemann, Graham C. Walker, Tyler Jacks, Trudy G. Oliver, Jason D. Doles, Jennifer M. Babik, Brian S. Schwartz, Edward C. Hsiao, James A. Frank and Raman Khanna and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Gerald C Hsu

15 papers receiving 257 citations

Author Peers

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

Author Last Decade Papers Cites
Gerald C Hsu 141 63 52 47 46 75 337
Dan Gong 79 0.6× 35 0.6× 22 0.4× 38 0.8× 10 0.2× 39 331
Nikita Gupta 78 0.6× 38 0.6× 22 0.4× 26 0.6× 19 0.4× 46 332
Ushma S. Neill 86 0.6× 83 1.3× 15 0.3× 26 0.6× 5 0.1× 44 347
Benjamin Harris 91 0.6× 54 0.9× 102 2.0× 66 1.4× 9 0.2× 34 327
Kelly Linden 85 0.6× 20 0.3× 11 0.2× 55 1.2× 2 0.0× 50 386
Ayelet Shai 82 0.6× 90 1.4× 90 1.7× 27 0.6× 9 0.2× 42 351
Parul Barry 46 0.3× 106 1.7× 87 1.7× 33 0.7× 54 1.2× 39 325
Nikita Consul 143 1.0× 54 0.9× 30 0.6× 18 0.4× 13 0.3× 31 387
Itaru Yasufuku 41 0.3× 95 1.5× 30 0.6× 18 0.4× 22 0.5× 59 347
Sunita Singh 64 0.5× 38 0.6× 12 0.2× 10 0.2× 2 0.0× 84 403

Countries citing papers authored by Gerald C Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Gerald C Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald C Hsu. 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 Gerald C Hsu. The network helps show where Gerald C Hsu may publish in the future.

Co-authorship network of co-authors of Gerald C Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald C Hsu. A scholar is included among the top collaborators of Gerald C Hsu 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 Gerald C Hsu. Gerald C Hsu 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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