Lei Tang
- Biological Psychiatry top 5%
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- Neuroscience and Neuropharmacology Research 6
- Neurology top 5%
- Ophthalmology top 2%
- Retinal Diseases and Treatments 8
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- Computational Drug Discovery Methods 8
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- Pain Mechanisms and Treatments 8
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- Cholinesterase and Neurodegenerative Diseases 8
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- Metabolism, Diabetes, and Cancer 6
- Peroxisome Proliferator-Activated Receptors 6
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- Cardiac Ischemia and Reperfusion 6
- Co-authors
- Joaquín J. GarcíaAntonio Muñoz‐HoyosRüssel J. ReiterHuaibo ZhangSubhash C. PandeyZaijie Jim WangJingfa ZhangAnand Prakash
- Journals
- Journal of Neuroscience (1 paper)Environmental Science & Technology (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lei Tang
95 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Endocrine and Autonomic Systems 379
- Biological Psychiatry 100
- Cellular and Molecular Neuroscience 477
- Neurology 191
- Ophthalmology 207
Countries citing papers authored by Lei Tang
This map shows the geographic impact of Lei 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 Lei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Tang more than expected).
Fields of papers citing papers by Lei Tang
This network shows the impact of papers produced by Lei 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 Lei Tang. The network helps show where Lei Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 27 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 48 | |
| 18 | 2020 | 41 | |
| 19 | 2010 | 4 | |
| 20 | 2003 | 36 |
About Lei Tang
Lei Tang is a scholar working on Pharmacology, Ophthalmology and Geriatrics and Gerontology, having authored 101 papers that have together received 2.6k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (8 papers), Computational Drug Discovery Methods (8 papers), Pain Mechanisms and Treatments (8 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cardiac Ischemia and Reperfusion (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (379 citations), Biological Psychiatry (100 citations) and Cellular and Molecular Neuroscience (477 citations). Lei Tang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Joaquín J. García, Antonio Muñoz‐Hoyos, Rüssel J. Reiter, Huaibo Zhang, Subhash C. Pandey, Zaijie Jim Wang, Jingfa Zhang, Anand Prakash, Rajesh R. Ugale and Pradeep K. Shukla. Their work appears in journals such as Journal of Neuroscience, Environmental Science & Technology and The Journal of Physical 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.