Jing Tang
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
- Neurology 24
- Neuroinflammation and Neurodegeneration Mechanisms 22
- Co-authors
- Jin Zhai (8 shared papers)Xin Liang (34 shared papers)Yong Tang (32 shared papers)Lin Jiang (26 shared papers)Feng‐lei Chao (23 shared papers)Qian Xiao (17 shared papers)Yanmin Luo (25 shared papers)Chunni Zhou (18 shared papers)
- Journals
- The Journal of Comparative Neurology (7 papers)Translational Psychiatry (6 papers)Experimental Neurology (4 papers)Environmental Science and Pollution Research (3 papers)Behavioural Brain Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jing Tang
85 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Biological Psychiatry 247
- Behavioral Neuroscience 228
- Developmental Neuroscience 152
- Neurology 281
- Health, Toxicology and Mutagenesis 253
Countries citing papers authored by Jing Tang
This map shows the geographic impact of Jing Tang'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 Jing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Tang more than expected).
Fields of papers citing papers by Jing Tang
This network shows the impact of papers produced by Jing Tang. 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 Jing Tang. The network helps show where Jing Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Tang, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2018 | 70 | |
| 3 | 2010 | 65 | |
| 4 | 2019 | 57 | |
| 5 | 2021 | 52 | |
| 6 | 2017 | 46 | |
| 7 | 2015 | 46 | |
| 8 | 2024 | 45 | |
| 9 | 2019 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2013 | 39 | |
| 12 | 2018 | 37 | |
| 13 | 2019 | 37 | |
| 14 | 2019 | 36 | |
| 15 | 2021 | 34 | |
| 16 | 2017 | 32 | |
| 17 | 2010 | 29 | |
| 18 | 2010 | 29 | |
| 19 | 2023 | 28 | |
| 20 | 2023 | 27 |
About Jing Tang
Jing Tang is a scholar working on Neurology, Molecular Biology, Behavioral Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Stress Responses and Cortisol (22 papers), Tryptophan and brain disorders (16 papers), Neurogenesis and neuroplasticity mechanisms (16 papers), Neuroscience and Neuropharmacology Research (13 papers), Alzheimer's disease research and treatments (12 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Global Health Care Issues (4 papers). The work is most often cited by research in Biological Psychiatry (247 citations), Behavioral Neuroscience (228 citations), Developmental Neuroscience (152 citations), Neurology (281 citations) and Health, Toxicology and Mutagenesis (253 citations). Jing Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jin Zhai, Xin Liang, Yong Tang, Lin Jiang, Feng‐lei Chao, Qian Xiao, Yanmin Luo, Chunni Zhou, Changchun Xiao and Chunxia Huang. Their work appears in journals such as The Journal of Comparative Neurology, Translational Psychiatry, Experimental Neurology, Environmental Science and Pollution Research and Behavioural Brain 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.