Zunyi Wang

53 papers receiving 1.4k citations

Peers

Zunyi Wang
Comparison fields: 5 of 94
  • Urology 464
  • Endocrine and Autonomic Systems 304
  • Sensory Systems 87
  • Toxicology 37
  • Cellular and Molecular Neuroscience 180
Replace Beatrice M. Girard with:
Beatrice M. Girard United States
Li‐Ya Qiao United States
Maria‐Simonetta Faussone‐Pellegrini Italy
Anna P. Malykhina United States
Fátima Ferreirinha Portugal
Geoffrey Burnstock United Kingdom
David A. Gelber United States
Gerard P. Sergeant Ireland
Duarte Pignatelli Portugal
Kristine M. Wiren United States
Zunyi Wang relative to Beatrice M. Girard United States Beatrice M. Girard's profile →
Citations per field
00.5×12.3×
Beatrice M. Girard · 1×
Citations per year

Countries citing papers authored by Zunyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zunyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200293
2 200882
3 200874
4 201168
5 200567
6 200562
7 200861
8 200160
9 200351
10 201550
11 201849
12 201338
13 200737
14 201036
15 200134
16 199533
17 200133
18 200031
19 200227
20 201327

About Zunyi Wang

Zunyi Wang is a scholar working on Urology, Endocrine and Autonomic Systems, Physiology, Cellular and Molecular Neuroscience and Genetics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (19 papers), Neuroscience of respiration and sleep (12 papers), Neuropeptides and Animal Physiology (7 papers), Cannabis and Cannabinoid Research (6 papers), Receptor Mechanisms and Signaling (6 papers), Pain Mechanisms and Treatments (6 papers), High Altitude and Hypoxia (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Urology (464 citations), Endocrine and Autonomic Systems (304 citations), Sensory Systems (87 citations), Toxicology (37 citations) and Cellular and Molecular Neuroscience (180 citations). Zunyi Wang has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Dale E. Bjorling, G. E. Bisgard, Peiqing Wang, Wade Bushman, S. D. GUÉRIOS, Fabiola Merriam, R. Håkanson, Jian Teng, Chad M. Vezina and Eric R. Prossnitz. Their work appears in journals such as American Journal of Physiology-Renal Physiology, British Journal of Urology, Respiratory Physiology & Neurobiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and The Prostate.

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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