May A. 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
    • Genetics, Aging, and Longevity in Model Organisms 6

May A. Chung

32 papers receiving 1.2k citations

Peers

May A. Chung
Comparison fields: 5 of 98
  • Aging 267
  • Rheumatology 252
  • Orthopedics and Sports Medicine 119
  • Endocrine and Autonomic Systems 70
  • Immunology and Allergy 60
Replace Moira Breen with:
Moira Breen United States
Irma Machuca‐Gayet France
Randall H. Renegar United States
Misa Hirose Germany
Li Ding China
MARINELLA BELLOCCI Italy
Bongkun Choi South Korea
Eun Seok Choi South Korea
Zi‐Jian Lan United States
Cui Zhang China
May A. Chung relative to Moira Breen United States Moira Breen's profile →
Citations per field
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Moira Breen · 1×
Citations per year

Countries citing papers authored by May A. Chung

Since Specialization
Citations

This map shows the geographic impact of May A. 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 A. 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 A. Chung more than expected).

Fields of papers citing papers by May A. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside May A. 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 A. Chung Line = papers co-authored together May A. 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 1984130
2 1993103
3 198589
4 200989
5 199183
6 201579
7 200872
8 199564
9 199663
10 201457
11 200247
12 201138
13 201338
14 201229
15 199128
16 200527
17 199023
18 201823
19 201521
20 201620

About May A. Chung

May A. Chung is a scholar working on Rheumatology, Aging, Orthopedics and Sports Medicine, Surgery and Nutrition and Dietetics, 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), Tendon Structure and Treatment (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Total Knee Arthroplasty Outcomes (3 papers), Clinical Nutrition and Gastroenterology (2 papers), Coenzyme Q10 studies and effects (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Aging (267 citations), Rheumatology (252 citations), Orthopedics and Sports Medicine (119 citations), Endocrine and Autonomic Systems (70 citations) and Immunology and Allergy (60 citations). May A. Chung has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include James D. McGhee, David Gall, David A. Hart, Bryan J. Heard, Cyril B. Frank, Eric J. Aamodt, Nigel Shrive, Mary H. Perdue, Yamini Achari and Mark F.P. Heschl. Their work appears in journals such as Journal of Orthopaedic Research®, Inflammation 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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