May Chung

1.4k citations
32 papers · 1.2k indexed · h-index 19

Impact in

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

Papers in

    • Knee injuries and reconstruction techniques 17
    • Total Knee Arthroplasty Outcomes 5
    • Shoulder Injury and Treatment 3
    • Osteoarthritis Treatment and Mechanisms 17

May Chung

32 papers receiving 1.1k citations

Peers

May Chung
Comparison fields: 5 of 100
  • Aging 270
  • Rheumatology 315
  • Orthopedics and Sports Medicine 167
  • Equine 19
  • Immunology and Allergy 66
Replace Moira Breen with:
Moira Breen United States
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André N. Tiaden Switzerland
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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 1984124
2 1993105
3 200984
4 199179
5 198579
6 201577
7 199668
8 199566
9 200866
10 201454
11 200245
12 201136
13 201336
14 201228
15 200527
16 199126
17 199023
18 201821
19 201519
20 201618

About May Chung

May Chung is a scholar working on Surgery, Rheumatology, Orthopedics and Sports Medicine, Molecular Biology and Aging, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (17 papers), Knee injuries and reconstruction techniques (17 papers), Tendon Structure and Treatment (10 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Total Knee Arthroplasty Outcomes (5 papers), Shoulder Injury and Treatment (3 papers), Food Allergy and Anaphylaxis Research (2 papers) and Coenzyme Q10 studies and effects (2 papers). The work is most often cited by research in Aging (270 citations), Rheumatology (315 citations), Orthopedics and Sports Medicine (167 citations), Equine (19 citations) and Immunology and Allergy (66 citations). May 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, Eric J. Aamodt, Cyril B. Frank, Nigel G. Shrive, Mary H. Perdue, 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 Journal of Pediatric Gastroenterology and Nutrition.

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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