Wang‐Sheng Jin
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 13
- Alzheimer's disease research and treatments 13
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- Dementia and Cognitive Impairment Research 7
- Co-authors
- Yan‐Jiang Wang (20 shared papers)Xian‐Le Bu (16 shared papers)Fan Zeng (8 shared papers)Yu-Hui Liu (8 shared papers)Chi Zhu (6 shared papers)Xiu‐Qing Yao (4 shared papers)Huadong Zhou (4 shared papers)Lin‐Lin Shen (3 shared papers)
- Journals
- Journal of Alzheimer s Disease (3 papers)Translational Psychiatry (3 papers)Neuroscience Bulletin (3 papers)Acta Neuropathologica (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wang‐Sheng Jin
20 papers receiving 525 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 37
- Neurology 83
- Physiology 244
- Psychiatry and Mental health 92
- Pharmacology 46
Countries citing papers authored by Wang‐Sheng Jin
This map shows the geographic impact of Wang‐Sheng Jin'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‐Sheng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang‐Sheng Jin more than expected).
Fields of papers citing papers by Wang‐Sheng Jin
This network shows the impact of papers produced by Wang‐Sheng Jin. 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‐Sheng Jin. The network helps show where Wang‐Sheng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang‐Sheng Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 130 | |
| 2 | 2017 | 100 | |
| 3 | 2023 | 69 | |
| 4 | 2017 | 54 | |
| 5 | 2016 | 40 | |
| 6 | 2020 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2023 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Wang‐Sheng Jin
Wang‐Sheng Jin is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Neurology and Epidemiology, having authored 22 papers that have together received 533 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (7 papers), Acute Ischemic Stroke Management (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), High Altitude and Hypoxia (1 paper), S100 Proteins and Annexins (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Biological Psychiatry (37 citations), Neurology (83 citations), Physiology (244 citations), Psychiatry and Mental health (92 citations) and Pharmacology (46 citations). Wang‐Sheng Jin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yan‐Jiang Wang, Xian‐Le Bu, Fan Zeng, Yu-Hui Liu, Chi Zhu, Xiu‐Qing Yao, Huadong Zhou, Lin‐Lin Shen, Sihan Chen and Weiwei Li. Their work appears in journals such as Journal of Alzheimer s Disease, Translational Psychiatry, Neuroscience Bulletin, Acta Neuropathologica and Nature Communications.
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.