Yang‐Kai Wang

819 citations
42 papers · 616 · h-index 17

Impact in

Papers in

Yang‐Kai Wang

39 papers receiving 605 citations

Peers

Yang‐Kai Wang
Comparison fields: 5 of 103
  • Endocrine and Autonomic Systems 153
  • Behavioral Neuroscience 50
  • Biological Psychiatry 20
  • Physiology 182
  • Cardiology and Cardiovascular Medicine 147
Replace Aaron P. Frank with:
Aaron P. Frank United States
Naoki Oshima Japan
Kristina Repova Slovakia
Tom L. Broderick United States
John J. Reho United States
Xing Tan China
Katarzyna Czarzasta Poland
Е. В. Лукошкова Russia
Ayhan Bozkurt Türkiye
Masaru Shoji Japan
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Citations per field
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Citations per year

Countries citing papers authored by Yang‐Kai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yang‐Kai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200851
2 200845
3 202342
4 201534
5 201329
6 201726
7 201526
8 201024
9 201423
10 202322
11 202122
12 201622
13 202219
14 202218
15 201818
16 200817
17 201616
18 200916
19 201216
20 201816

About Yang‐Kai Wang

Yang‐Kai Wang is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Molecular Biology and Surgery, having authored 42 papers that have together received 616 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (8 papers), Neuroscience of respiration and sleep (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Adipose Tissue and Metabolism (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Stress Responses and Cortisol (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (153 citations), Behavioral Neuroscience (50 citations), Biological Psychiatry (20 citations), Physiology (182 citations) and Cardiology and Cardiovascular Medicine (147 citations). Yang‐Kai Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weizhong Wang, Xing Tan, Wen‐Jun Yuan, An‐Jing Ren, Zhifu Guo, Xing Zheng, Ruwen Zhang, Miaoling Li, Yu Deng and Haipeng Li. Their work appears in journals such as Frontiers in Neuroscience, Journal of Hypertension, Nitric Oxide, CNS Neuroscience & Therapeutics and Peptides.

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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