H. T. Yang

54 papers receiving 2.3k citations

Peers

H. T. Yang
Comparison fields: 5 of 110
  • Complementary and alternative medicine 282
  • Rehabilitation 199
  • Internal Medicine 95
  • Cardiology and Cardiovascular Medicine 554
  • Genetics 250
Replace M. D. Brown with:
M. D. Brown United Kingdom
Dongfen Chen United States
Francesco S. Loffredo Italy
Don D. Sheriff United States
Frank Suhr Germany
Michael Sinnreich Switzerland
Simone Wagner Germany
Fay M. Hansen‐Smith United States
Walter L. Murfee United States
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H. T. Yang relative to M. D. Brown United Kingdom M. D. Brown's profile →
Citations per field
00.5×4.9×
M. D. Brown · 1×
Citations per year

Countries citing papers authored by H. T. Yang

Since Specialization
Citations

This map shows the geographic impact of H. T. 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 H. T. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. T. Yang more than expected).

Fields of papers citing papers by H. T. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. T. 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 H. T. Yang. The network helps show where H. T. Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004383
2 2009295
3 2010152
4 2003147
5 2001127
6 1996105
7 201399
8 201586
9 200483
10 201763
11 200055
12 200149
13 200246
14 199040
15
Training-induced vascular adaptations to ischemic muscle.
200840
16 199538
17 200038
18 199536
19 200335
20 199135

About H. T. Yang

H. T. Yang is a scholar working on Molecular Biology, Surgery, Physiology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (14 papers), Angiogenesis and VEGF in Cancer (13 papers), Muscle Physiology and Disorders (11 papers), Peripheral Artery Disease Management (10 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Muscle metabolism and nutrition (8 papers), Nitric Oxide and Endothelin Effects (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Complementary and alternative medicine (282 citations), Rehabilitation (199 citations), Internal Medicine (95 citations), Cardiology and Cardiovascular Medicine (554 citations) and Genetics (250 citations). H. T. Yang has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Ronald L. Terjung, Barry M. Prior, Pamela G. Lloyd, Robert W. Ogilvie, Dongsheng Duan, Yongping Yue, M. Harold Laughlin, Chady H. Hakim, Xiufang Pan and Jin‐Hong Shin. Their work appears in journals such as Journal of Applied Physiology, American Journal of Physiology-Heart and Circulatory Physiology, The Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Molecular Therapy.

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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