Ho‐Jin Koh

1.1k citations
23 papers · 713 · h-index 14

Impact in

    • Exercise and Physiological Responses
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging

Papers in

    • Muscle Physiology and Disorders 11
    • Metabolism, Diabetes, and Cancer 8
    • Adipose Tissue and Metabolism 11

Ho‐Jin Koh

23 papers receiving 706 citations

Peers

Ho‐Jin Koh
Comparison fields: 5 of 79
  • Rehabilitation 89
  • Physiology 349
  • Geriatrics and Gerontology 27
  • Molecular Biology 445
  • Cell Biology 97
Replace Irena A. Rebalka with:
Irena A. Rebalka Canada
Donna M. D’Souza Canada
Tora Henriksen Denmark
Jakob G. Knudsen Denmark
Kristoffer Svensson United States
Sergio Chiandotto Italy
Ruping Pan China
Luiz H. M. Bozi Brazil
Audrey L. Hildebrandt United States
Eva B. Nygaard Denmark
Ho‐Jin Koh relative to Irena A. Rebalka Canada Irena A. Rebalka's profile →
Citations per field
00.5×1.5×
Irena A. Rebalka · 1×
Citations per year

Countries citing papers authored by Ho‐Jin Koh

Since Specialization
Citations

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

Fields of papers citing papers by Ho‐Jin Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho‐Jin Koh. 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 Ho‐Jin Koh. The network helps show where Ho‐Jin Koh may publish in the future.

Co-authors

The 25 scholars most cited alongside Ho‐Jin Koh, 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 Ho‐Jin Koh Line = papers co-authored together Ho‐Jin Koh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200798
2 200981
3 201076
4 200866
5 201356
6 201851
7 201751
8 201051
9 201737
10 201523
11 201821
12 202017
13 202114
14 200113
15 201912
16 201912
17 20179
18 20098
19 20167
20 20184

About Ho‐Jin Koh

Ho‐Jin Koh is a scholar working on Molecular Biology, Physiology, Rehabilitation, Cell Biology and Surgery, having authored 23 papers that have together received 713 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Adipose Tissue and Metabolism (11 papers), Metabolism, Diabetes, and Cancer (8 papers), Exercise and Physiological Responses (7 papers), Pancreatic function and diabetes (5 papers), Muscle metabolism and nutrition (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Rehabilitation (89 citations), Physiology (349 citations), Geriatrics and Gerontology (27 citations), Molecular Biology (445 citations) and Cell Biology (97 citations). Ho‐Jin Koh has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include Laurie J. Goodyear, Michael F. Hirshman, James A. Carson, Josef Brandauer, Dennis K. Fix, Jonas T. Treebak, Tarō Toyoda, An Ding, Carol A. Witczak and Yangfeng Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, The FASEB Journal, American Journal of Physiology-Cell Physiology, Journal of Biological Chemistry and Journal of Perinatology.

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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