Jun‐Yang Wang

870 citations
31 papers · 600 · h-index 15

Impact in

Papers in

Jun‐Yang Wang

26 papers receiving 594 citations

Peers

Jun‐Yang Wang
Comparison fields: 5 of 74
  • Neurology 116
  • Biological Psychiatry 34
  • Physiology 289
  • Cellular and Molecular Neuroscience 179
  • Behavioral Neuroscience 34
Replace Tsuyoshi Matsuda with:
Tsuyoshi Matsuda Japan
K. Imamura Japan
Ernst Suidgeest Netherlands
A. M. Mans United States
Emelie Andersson Sweden
Ung Gu Kang South Korea
Kenichi Oshima Japan
Prasanth S. Ariyannur India
William E. Wu United States
Yoshitsugu Shitaka Japan
Jun‐Yang Wang relative to Tsuyoshi Matsuda Japan Tsuyoshi Matsuda's profile →
Citations per field
00.5×4.1×
Tsuyoshi Matsuda · 1×
Citations per year

Countries citing papers authored by Jun‐Yang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Yang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015153
2 200939
3 201235
4 200834
5 201733
6 201330
7 200929
8 202128
9 200624
10 201620
11 200620
12 200618
13 202018
14 200916
15 200915
16 201514
17 201813
18 202212
19 200611
20 201410

About Jun‐Yang Wang

Jun‐Yang Wang is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pharmacology, Rehabilitation and Radiation, having authored 31 papers that have together received 600 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (20 papers), Neuropeptides and Animal Physiology (13 papers), Pharmacological Effects of Natural Compounds (10 papers), Nuclear Physics and Applications (4 papers), Exercise and Physiological Responses (4 papers), Nuclear physics research studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Nuclear reactor physics and engineering (3 papers). The work is most often cited by research in Neurology (116 citations), Biological Psychiatry (34 citations), Physiology (289 citations), Cellular and Molecular Neuroscience (179 citations) and Behavioral Neuroscience (34 citations). Jun‐Yang Wang has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include Xiaoyan Zeng, Shui‐Ping Han, Yukang Yuan, Zhihong Wang, Yijie Guo, Gaojie Liu, Jing‐Shi Tang, Chun-Wang Ma, Qian Zhang and Kateryna Kolkova. Their work appears in journals such as Neurochemical Research, Neuroscience, Neuropathology, Experimental Neurology and Journal of Materials Chemistry B.

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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