Hun‐Mo Yang

993 citations
31 papers · 829 · h-index 15

Impact in

    • Exercise and Physiological Responses
  • Physiology top 10%
    • Thermoregulation and physiological responses
    • Adipose Tissue and Metabolism

Papers in

Hun‐Mo Yang

30 papers receiving 794 citations

Peers

Hun‐Mo Yang
Comparison fields: 5 of 105
  • Rehabilitation 205
  • Physiology 356
  • Biomaterials 152
  • Complementary and alternative medicine 48
  • Radiology, Nuclear Medicine and Imaging 100
Replace Young‐Ki Min with:
Young‐Ki Min South Korea
Lara A. Muffley United States
Patrik Danielson Sweden
Francesco Tecilazich United States
Yongjun Zheng China
Jie Pan China
Dimitrios Baltzis United States
Peter Dungel Austria
Yoorim Choi South Korea
Shang Wang China
Hun‐Mo Yang relative to Young‐Ki Min South Korea Young‐Ki Min's profile →
Citations per field
00.5×1.5×
Young‐Ki Min · 1×
Citations per year

Countries citing papers authored by Hun‐Mo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hun‐Mo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hun‐Mo Yang. 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 Hun‐Mo Yang. The network helps show where Hun‐Mo Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013233
2 201378
3 201163
4 200845
5 200743
6 200639
7 201237
8 201027
9 201226
10 200623
11 201021
12 201120
13 200420
14 201519
15 201315
16 201014
17 200812
18 200812
19 201012
20 200411

About Hun‐Mo Yang

Hun‐Mo Yang is a scholar working on Physiology, Rehabilitation, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 31 papers that have together received 829 indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (14 papers), Exercise and Physiological Responses (11 papers), Infrared Thermography in Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Heat shock proteins research (3 papers), Bone Tissue Engineering Materials (3 papers), Olfactory and Sensory Function Studies (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Rehabilitation (205 citations), Physiology (356 citations), Biomaterials (152 citations), Complementary and alternative medicine (48 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). Hun‐Mo Yang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Young‐Ki Min, Jeong‐Beom Lee, Byong‐Taek Lee, Kook Hwan Kim, Seong‐Hun Kim, Myung‐Shik Lee, Jun-Sang Bae, Rose Ann Franco, Takaaki Matsumoto and So‐Ra Son. Their work appears in journals such as Journal of Thermal Biology, Immunological Investigations, Pflügers Archiv - European Journal of Physiology, PLoS ONE and Journal of Biomaterials Applications.

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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