Yu‐Ming Kang

7.6k citations
171 papers · 6.2k · h-index 45

Impact in

Papers in

Yu‐Ming Kang

167 papers receiving 6.1k citations

Peers

Yu‐Ming Kang
Comparison fields: 5 of 119
  • Behavioral Neuroscience 476
  • Endocrine and Autonomic Systems 822
  • Biological Psychiatry 179
  • Cardiology and Cardiovascular Medicine 1.5k
  • Physiology 1.5k
Replace Robin L. Davisson with:
Robin L. Davisson United States
Julie Y.H. Chan Taiwan
Samuel H.H. Chan Taiwan
Amteshwar Singh Jaggi India
Michele O. Carruba Italy
Gregory D. Fink United States
Kaushik P. Patel United States
Michael L. Mathai Australia
Sheila Collins United States
Takuya Kishi Japan
Yu‐Ming Kang relative to Robin L. Davisson United States Robin L. Davisson's profile →
Citations per field
00.5×3.2×
Robin L. Davisson · 1×
Citations per year

Countries citing papers authored by Yu‐Ming Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ming Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Ming Kang. 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 Yu‐Ming Kang. The network helps show where Yu‐Ming Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015313
2 2017210
3 2015188
4 2009182
5 2006138
6 2018123
7 2016113
8 2008111
9 2007111
10 2009100
11 2008100
12 201997
13 201796
14 202096
15 201692
16 201687
17 200386
18 201784
19 201383
20 201481

About Yu‐Ming Kang

Yu‐Ming Kang is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology and Endocrine and Autonomic Systems, having authored 171 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (51 papers), Stress Responses and Cortisol (26 papers), Apelin-related biomedical research (21 papers), Heart Rate Variability and Autonomic Control (20 papers), Renin-Angiotensin System Studies (19 papers), Hormonal Regulation and Hypertension (19 papers), Regulation of Appetite and Obesity (15 papers) and Adipose Tissue and Metabolism (15 papers). The work is most often cited by research in Behavioral Neuroscience (476 citations), Endocrine and Autonomic Systems (822 citations), Biological Psychiatry (179 citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Physiology (1.5k citations). Yu‐Ming Kang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guo‐Qing Zhu, Yuehua Li, Juejin Wang, Qi Chen, Xiao‐Jing Yu, Hai‐Jian Sun, Xiao‐Qing Xiong, Hong‐Bao Li, Joel G. Pickar and Jie Qi. Their work appears in journals such as Cardiovascular Toxicology, Toxicology and Applied Pharmacology, Scientific Reports, The FASEB Journal and PLoS ONE.

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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