Weihua Li

14.7k citations
251 papers · 10.8k indexed · 5 hit papers · h-index 47
Topics
Computational Drug Discovery Methods (145 papers)Pharmacogenetics and Drug Metabolism (49 papers)Analytical Chemistry and Chromatography (36 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Weihua Li

244 papers receiving 10.6k citations

Hit Papers

admetSAR: A Comprehensive Source and Free Tool for Assess...20122026201620212012201820122018202450010001.5k

Peers

Weihua Li
Comparison fields: 5 of 184
  • Computational Theory and Mathematics 5.1k
  • Molecular Biology 5.1k
  • Pharmacology 1.6k
  • Organic Chemistry 1.5k
  • Pharmacology 975
Replace Robert Preißner with:
Robert Preißner Germany
Paul Thiessen United States
Siqian He United States
Asta Gindulytė United States
Evan Bolton United States
Benjamin A. Shoemaker United States
Andreas Bender United Kingdom
Weihua Li relative to Robert Preißner Germany Robert Preißner's profile →
Citations per field
00.5×1.5×
Robert Preißner · 1×
Citations per year

Countries citing papers authored by Weihua Li

Since Specialization
Citations

This map shows the geographic impact of Weihua Li'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 Weihua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Li more than expected).

Fields of papers citing papers by Weihua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weihua Li. 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 Weihua Li. The network helps show where Weihua Li may publish in the future.

Co-authorship network of co-authors of Weihua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Li. A scholar is included among the top collaborators of Weihua Li 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 Weihua Li. Weihua Li 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 1
2 2
3 4
4 1
5 2
6 9
7 2
8 2
9 18
10 2
11 21
12 28
13 20
14 7
15 19
16 16
17 9
18 11
19 25
20 191

About Weihua Li

Weihua Li is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 251 papers that have together received 10.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (145 papers), Pharmacogenetics and Drug Metabolism (49 papers) and Analytical Chemistry and Chromatography (36 papers). The work is most often cited by research in Computational Theory and Mathematics (5.1k citations), Pharmacology (1.6k citations) and Toxicology (279 citations). Weihua Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yun Tang, Guixia Liu, Feixiong Cheng, Zengrui Wu, Jie Shen, Philip W. Lee, Hongbin Yang, Yadi Zhou, Lixia Sun and Yingchun Cai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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