Sheng Wang

117 papers receiving 2.2k citations

Peers

Sheng Wang
Comparison fields: 5 of 139
  • Endocrine and Autonomic Systems 625
  • Biological Psychiatry 62
  • Behavioral Neuroscience 84
  • Cognitive Neuroscience 303
  • Cellular and Molecular Neuroscience 226
Replace Michèle Vacca with:
Michèle Vacca Italy
Mauricio Díaz‐Muñoz Mexico
Michael L. Mathai Australia
Guo Zhang China
Kenju Shimomura Japan
Pamela J. Hornby United States
Hisayuki Uneyama Japan
Andrew C. Adams United States
Thomas Hübschle Germany
Yongjie Yang United States
Sheng Wang relative to Michèle Vacca Italy Michèle Vacca's profile →
Citations per field
00.5×2.6×
Michèle Vacca · 1×
Citations per year

Countries citing papers authored by Sheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015180
2 2011139
3 2013105
4 200290
5 201387
6 200982
7 201372
8 200870
9 202059
10 201756
11 200651
12 200348
13 202041
14 201741
15 200639
16 201339
17 201737
18 200436
19 201935
20 200934

About Sheng Wang

Sheng Wang is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 129 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (30 papers), Sleep and Wakefulness Research (17 papers), Neuroendocrine regulation and behavior (15 papers), Stress Responses and Cortisol (14 papers), Heart Rate Variability and Autonomic Control (13 papers), Tryptophan and brain disorders (10 papers), High Altitude and Hypoxia (10 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (625 citations), Biological Psychiatry (62 citations), Behavioral Neuroscience (84 citations), Cognitive Neuroscience (303 citations) and Cellular and Molecular Neuroscience (226 citations). Sheng Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julian F. R. Paton, Sergey Kasparov, Douglas A. Bayliss, Yingtang Shi, Patrice G. Guyenet, Xiangjian Zhang, Yi Zhang, Fang Yuan, Guy A. Channell and David A. Gray. Their work appears in journals such as Scientific Reports, Neuroscience Bulletin, Life Sciences, Journal of Neuroscience and Journal of Clinical Oncology.

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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