Zunyi Wang

1.7k citations
54 papers · 1.4k indexed · h-index 22

Impact in

Papers in

Zunyi Wang

53 papers receiving 1.4k citations

Peers

Zunyi Wang
Comparison fields: 5 of 96
  • Urology 524
  • Endocrine and Autonomic Systems 320
  • Sensory Systems 105
  • Toxicology 46
  • Cellular and Molecular Neuroscience 196
Replace Beatrice M. Girard with:
Beatrice M. Girard United States
Elena Del Bianco Italy
Maria‐Simonetta Faussone‐Pellegrini Italy
Li‐Ya Qiao United States
Anna P. Malykhina United States
James E. Marchand United States
Duarte Pignatelli Portugal
Fátima Ferreirinha Portugal
Hongwen He China
R. Crowe United Kingdom
Zunyi Wang relative to Beatrice M. Girard United States Beatrice M. Girard's profile →
Citations per field
00.5×11.5×
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-authorship network

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
#Work
1 20231
2 202213
3 20219
4 202013
5 201915
6 201712
7 201627
8 201547
9 201415
10 201168
11 201010
12 20070
13 200737
14 200518
15 200562
16 200293
17 200031
18 19971
19 19962
20 199219

About Zunyi Wang

Zunyi Wang is a scholar working on Urology, Endocrine and Autonomic Systems, Toxicology, Dermatology and Physiology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (24 papers), Neuroscience of respiration and sleep (12 papers), Neuropeptides and Animal Physiology (7 papers), Pain Mechanisms and Treatments (7 papers), Cannabis and Cannabinoid Research (7 papers), Receptor Mechanisms and Signaling (6 papers), Hormonal and reproductive studies (5 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Urology (524 citations), Endocrine and Autonomic Systems (320 citations), Sensory Systems (105 citations), Toxicology (46 citations) and Cellular and Molecular Neuroscience (196 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, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Respiratory Physiology & Neurobiology, British Journal of Urology 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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