Han Yang

20 papers receiving 482 citations

Peers

Han Yang
Comparison fields: 5 of 103
  • Complementary and alternative medicine 79
  • Cardiology and Cardiovascular Medicine 132
  • Rehabilitation 30
  • Physiology 112
  • Internal Medicine 15
Replace Kazuki Esaki with:
Kazuki Esaki Japan
Min Mao China
Kuo-Feng Huang Taiwan
Shouyan Zhang China
Frank C. Mooren Germany
Stacy R. Oliver United States
Monica S M Persson United Kingdom
Bo Yuan China
Justin A. Edward United States
Han Yang relative to Kazuki Esaki Japan Kazuki Esaki's profile →
Citations per field
00.5×4.8×
Kazuki Esaki · 1×
Citations per year

Countries citing papers authored by Han Yang

Since Specialization
Citations

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

Fields of papers citing papers by Han Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003136
2 200487
3 202344
4 199436
5 202331
6 200224
7 200823
8 202121
9 202218
10 200317
11 200317
12 202115
13 202411
14 20065
15 20173
16
[The role of brain 5-hydroxytryptamine in the genesis of stress-induced gastric ulcer in rats].
19853
17 20242
18 20231
19 20231
20 20231

About Han Yang

Han Yang is a scholar working on Physiology, Molecular Biology, Complementary and alternative medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 496 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Cardiovascular and exercise physiology (4 papers), Biochemical Analysis and Sensing Techniques (2 papers), Nanocluster Synthesis and Applications (2 papers), Eating Disorders and Behaviors (2 papers), Digital Marketing and Social Media (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Complementary and alternative medicine (79 citations), Cardiology and Cardiovascular Medicine (132 citations), Rehabilitation (30 citations), Physiology (112 citations) and Internal Medicine (15 citations). Han Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ronald L. Terjung, Pamela G. Lloyd, Barry M. Prior, M. Harold Laughlin, Robert W. Ogilvie, Jie Ren, Ryszard Zarzeczny, Sunita Srivastava, Zijie Qiu and Ben Zhong Tang. Their work appears in journals such as ACS Nano, American Journal of Physiology-Heart and Circulatory Physiology, Circulation Research, National Science Review and Frontiers in Psychology.

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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