May Chung

1.4k citations
32 papers · 1.2k · h-index 20

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Osteoarthritis Treatment and Mechanisms 14
    • Knee injuries and reconstruction techniques 10
    • Total Knee Arthroplasty Outcomes 3
    • Shoulder Injury and Treatment 2

May Chung

32 papers receiving 1.2k citations

Peers

May Chung
Comparison fields: 5 of 99
  • Aging 281
  • Rheumatology 255
  • Orthopedics and Sports Medicine 120
  • Endocrine and Autonomic Systems 73
  • Immunology and Allergy 61
Replace Moira Breen with:
Moira Breen United States
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Krisztián Kvell Hungary
Irma Machuca‐Gayet France
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Jean‐Louis Frendo France
Randall H. Renegar United States
M. Bellocci Italy
Eun Seok Choi South Korea
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Citations per field
00.5×10×15×18.5×
Moira Breen · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside May Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with May Chung Line = papers co-authored together May Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984132
2 1993108
3 198589
4 200988
5 199184
6 201578
7 200872
8 199670
9 199568
10 201456
11 200247
12 201339
13 201138
14 200529
15 201228
16 199128
17 199023
18 201822
19 201620
20 201519

About May Chung

May Chung is a scholar working on Rheumatology, Surgery, Molecular Biology, Aging and Orthopedics and Sports Medicine, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (14 papers), Knee injuries and reconstruction techniques (10 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Tendon Structure and Treatment (6 papers), Total Knee Arthroplasty Outcomes (3 papers), Shoulder Injury and Treatment (2 papers), Coenzyme Q10 studies and effects (2 papers) and Food Allergy and Anaphylaxis Research (2 papers). The work is most often cited by research in Aging (281 citations), Rheumatology (255 citations), Orthopedics and Sports Medicine (120 citations), Endocrine and Autonomic Systems (73 citations) and Immunology and Allergy (61 citations). May Chung has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include James D. McGhee, David Gall, David A. Hart, Bryan J. Heard, Eric J. Aamodt, Cyril B. Frank, Mary H. Perdue, Nigel G. Shrive, Yamini Achari and Mark F.P. Heschl. Their work appears in journals such as Inflammation Research, Journal of Orthopaedic Research®, Connective Tissue Research, Developmental Biology and The American Journal of Sports Medicine.

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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