Wei Tang
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 22
- Inflammatory mediators and NSAID effects 11
- Drug-Induced Hepatotoxicity and Protection 6
- Toxicology top 2%
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 13
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 22
- Inflammatory mediators and NSAID effects 11
- Drug-Induced Hepatotoxicity and Protection 6
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- Estrogen and related hormone effects 6
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- Analytical Chemistry and Chromatography 5
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- HIV/AIDS drug development and treatment 5
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- Biofuel production and bioconversion 5
- Co-authors
- Ralph A. StearnsThomas A. BaillieGeorge A. DossRegina W. WangDennis DeanJason S. NguiAnthony Y.H. LuShuet-Hing Lee Chiu
- Journals
- SHILAP Revista de lepidopterología (1 paper)ACS Nano (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Wei Tang
70 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Pharmacology 1.3k
- Computational Theory and Mathematics 386
- Toxicology 79
- Oncology 630
- Pharmacology 385
Countries citing papers authored by Wei Tang
This map shows the geographic impact of Wei 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 Wei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Tang more than expected).
Fields of papers citing papers by Wei Tang
This network shows the impact of papers produced by Wei 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 Wei Tang. The network helps show where Wei Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 68 | |
| 12 | 2021 | 6 | |
| 13 | Drug metabolism in drug discovery and developmentbreakdown → | 2018 | 253 |
| 14 | 2009 | 53 | |
| 15 | 2009 | 32 | |
| 16 | 2006 | 51 | |
| 17 | 2005 | 28 | |
| 18 | 2004 | 15 | |
| 19 | 2004 | 2 | |
| 20 | 2002 | 8 |
About Wei Tang
Wei Tang is a scholar working on Pharmacology, Toxicology and Pharmacology, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (22 papers), Drug Transport and Resistance Mechanisms (13 papers), Inflammatory mediators and NSAID effects (11 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Estrogen and related hormone effects (6 papers), Analytical Chemistry and Chromatography (5 papers), HIV/AIDS drug development and treatment (5 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Pharmacology (1.3k citations), Computational Theory and Mathematics (386 citations) and Toxicology (79 citations). Wei Tang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ralph A. Stearns, Thomas A. Baillie, George A. Doss, Regina W. Wang, Dennis Dean, Jason S. Ngui, Anthony Y.H. Lu, Shuet-Hing Lee Chiu, Frank S. Abbott and Kwan Leung. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Biochemistry.
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.