Wang Jun
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Biological and pharmacological studies of plants 3
- Fungal Biology and Applications 2
- Microbial Natural Products and Biosynthesis 2
-
- Pain Mechanisms and Treatments 4
- Co-authors
- Wen‐Jun Xin (3 shared papers)Rui‐Ping Pang (3 shared papers)Xian‐Guo Liu (3 shared papers)Li‐Jun Zhou (3 shared papers)Wei Xiao (2 shared papers)Dai Li (2 shared papers)Mark P. Mattson (2 shared papers)Madhuvika Murugan (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Molecules (2 papers)Marine Drugs (1 paper)International Journal of Molecular Medicine (1 paper)Natural Product Research (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wang Jun
11 papers receiving 511 citations
Peers
Comparison fields: 5 of 81
- Neurology 138
- Biological Psychiatry 27
- Physiology 236
- Behavioral Neuroscience 28
- Cellular and Molecular Neuroscience 142
Countries citing papers authored by Wang Jun
This map shows the geographic impact of Wang Jun'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 Wang Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Jun more than expected).
Fields of papers citing papers by Wang Jun
This network shows the impact of papers produced by Wang Jun. 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 Wang Jun. The network helps show where Wang Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 311 | |
| 2 | 2013 | 80 | |
| 3 | 2012 | 41 | |
| 4 | 2018 | 27 | |
| 5 | 2014 | 27 | |
| 6 | 2017 | 10 | |
| 7 | 2018 | 10 | |
| 8 | 2015 | 6 | |
| 9 | Chemical Components of Dendrobium loddigesii | 2013 | 4 |
| 10 | Secondary Metabolites of Endophytic Cladosporium sp.J6 from Endangered Chrysosplenium carnosum | 2015 | 2 |
| 11 | 2025 | 1 | |
| 12 | 2015 | 0 |
About Wang Jun
Wang Jun is a scholar working on Pharmacology, Physiology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 519 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Biological and pharmacological studies of plants (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Fungal Biology and Applications (2 papers), Plant and animal studies (2 papers), Neuropeptides and Animal Physiology (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Archaeological Research and Protection (1 paper). The work is most often cited by research in Neurology (138 citations), Biological Psychiatry (27 citations), Physiology (236 citations), Behavioral Neuroscience (28 citations) and Cellular and Molecular Neuroscience (142 citations). Wang Jun has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wen‐Jun Xin, Rui‐Ping Pang, Xian‐Guo Liu, Li‐Jun Zhou, Wei Xiao, Dai Li, Mark P. Mattson, Madhuvika Murugan, Zhihai Qin and Yong Liu. Their work appears in journals such as Journal of Neuroscience, Molecules, Marine Drugs, International Journal of Molecular Medicine and Natural Product Research.
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.