Jun‐Yang Wang

920 citations
31 papers · 644 · h-index 15

Impact in

Papers in

Jun‐Yang Wang

27 papers receiving 640 citations

Peers

Jun‐Yang Wang
Comparison fields: 5 of 76
  • Biological Psychiatry 34
  • Neurology 109
  • Physiology 282
  • Behavioral Neuroscience 33
  • Cellular and Molecular Neuroscience 165
Replace Tsuyoshi Matsuda with:
Tsuyoshi Matsuda Japan
K. Imamura Japan
Deidre J. Devier United States
Emelie Andersson Sweden
Ung Gu Kang South Korea
Alexandra Gouveia Portugal
William E. Wu United States
A. K. Ichikawa Japan
Kenichi Oshima Japan
Jun‐Yang Wang relative to Tsuyoshi Matsuda Japan Tsuyoshi Matsuda's profile →
Citations per field
00.5×2×3×4.3×
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 2015168
2 200939
3 201736
4 201236
5 200835
6 202132
7 201331
8 200929
9 200625
10 202024
11 201622
12 200620
13 200618
14 200916
15 201516
16 200915
17 201814
18 202212
19 200611
20 200810

About Jun‐Yang Wang

Jun‐Yang Wang is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pharmacology, Radiation and Rehabilitation, having authored 31 papers that have together received 644 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 research studies (4 papers), Nuclear Physics and Applications (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Exercise and Physiological Responses (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Neurology (109 citations), Physiology (282 citations), Behavioral Neuroscience (33 citations) and Cellular and Molecular Neuroscience (165 citations). Jun‐Yang Wang has collaborated with scholars based in China, Denmark and Sweden. Frequent co-authors include Shui‐Ping Han, Yukang Yuan, Zhihong Wang, Yijie Guo, Jing‐Shi Tang, Chun-Wang Ma, Gaojie Liu, Malene Ambjørn, Tobias Goldmann and Carsten F. Rundsten. Their work appears in journals such as Neurochemical Research, Neuroscience, Neuropathology, Journal of Neuroinflammation and Journal of Physics G Nuclear and Particle Physics.

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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