May Chung

32 papers and 1.1k indexed citations i.

About

May Chung is a scholar working on Surgery, Rheumatology and Orthopedics and Sports Medicine. According to data from OpenAlex, May Chung has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 17 papers in Rheumatology and 10 papers in Orthopedics and Sports Medicine. Recurrent topics in May Chung’s work include Osteoarthritis Treatment and Mechanisms (17 papers), Knee injuries and reconstruction techniques (17 papers) and Tendon Structure and Treatment (10 papers). May Chung is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (17 papers), Knee injuries and reconstruction techniques (17 papers) and Tendon Structure and Treatment (10 papers). May Chung collaborates with scholars based in Canada, United States and Japan. May Chung's co-authors include James D. McGhee, David Gall, David A. Hart, Bryan J. Heard, Cyril B. Frank, Eric J. Aamodt, Mary H. Perdue, Nigel G. Shrive, Yamini Achari and Mark F.P. Heschl and has published in prestigious journals such as Science, Gastroenterology and Journal of Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of May Chung i

Fields of papers citing papers by May Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Chung. 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 May Chung. The network helps show where May Chung may publish in the future.

Countries citing papers authored by May Chung

Since Specialization
Citations

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

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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