Wei Tang

3.6k citations
75 papers · 2.6k indexed · 1 hit paper · h-index 27
Topics
Pharmacogenetics and Drug Metabolism (22 papers)Drug Transport and Resistance Mechanisms (13 papers)Inflammatory mediators and NSAID effects (11 papers)
Journals
SHILAP Revista de lepidopterologíaACS NanoBiochemistry
Partner nations
United StatesChinaJapan

In The Last Decade

Wei Tang

70 papers receiving 2.5k citations

Hit Papers

Drug metabolism in drug discovery and development2018202620202023201850100150200250

Peers

Wei Tang
Comparison fields: 5 of 130
  • Pharmacology 1.3k
  • Molecular Biology 778
  • Oncology 630
  • Computational Theory and Mathematics 386
  • Pharmacology 385
Replace Eva Anzenbacherová with:
Eva Anzenbacherová Czechia
Ralph A. Stearns United States
David M. Stresser United States
George A. Doss United States
James L. Maggs United Kingdom
Donglu Zhang United States
Richard Weaver United Kingdom
Deborah A. Nicoll‐Griffith Canada
Ruth Hyland United Kingdom
Eli Chan Singapore
Wei Tang relative to Eva Anzenbacherová Czechia Eva Anzenbacherová's profile →
Citations per field
00.5×1.5×
Eva Anzenbacherová · 1×
Citations per year

Countries citing papers authored by Wei Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Wei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Tang. A scholar is included among the top collaborators of Wei Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Tang. Wei Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 4
6 4
7 6
8 11
9 12
10 1
11 68
12 6
13
Drug metabolism in drug discovery and developmentbreakdown →
253
14 53
15 32
16 51
17 28
18 15
19 2
20 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) and Inflammatory mediators and NSAID effects (11 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.

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