Wei Li

20.7k total citations · 3 hit papers
750 papers, 15.7k citations indexed

About

Wei Li is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Wei Li has authored 750 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 401 papers in Molecular Biology, 134 papers in Plant Science and 105 papers in Pharmacology. Recurrent topics in Wei Li's work include Natural product bioactivities and synthesis (118 papers), Phytochemistry and Biological Activities (76 papers) and Bioactive Natural Diterpenoids Research (49 papers). Wei Li is often cited by papers focused on Natural product bioactivities and synthesis (118 papers), Phytochemistry and Biological Activities (76 papers) and Bioactive Natural Diterpenoids Research (49 papers). Wei Li collaborates with scholars based in China, Japan and United States. Wei Li's co-authors include Kazuo Koike, Yoshihisa Asada, Tamotsu Nikaido, Takafumi Yoshikawa, Joseph Schlessinger, Hong Bai, Tatsunori Sasaki, Adam Kashishian, Andreas Batzer and Riko Nishimura and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Wei Li

722 papers receiving 15.3k citations

Hit Papers

Global liver disease burdens and research trends: Analysi... 2017 2026 2020 2023 2019 2017 2023 100 200 300 400

Peers

Wei Li
Comparison fields: 5 of 199
  • Molecular Biology 8.0k
  • Plant Science 2.3k
  • Pharmacology 1.9k
  • Epidemiology 1.4k
  • Pharmacology 1.3k
Replace Chao Wang with:
Chao Wang China
Yitao Wang Macao
Li Yang China
Atanas G. Atanasov Austria
Jai‐Sing Yang Taiwan
Haroon Khan Pakistan
Qing Li China
Jun Li China
Ki Won Lee South Korea
Anupam Bishayee United States
Chao Wang China View profile →
Citations per field, relative to Wei Li
Wei Li · 1×
Citations per year, relative to Wei Li
Wei Li · 1×

Countries citing papers authored by Wei Li

Since Specialization
Citations

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

Fields of papers citing papers by Wei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Li. A scholar is included among the top collaborators of Wei 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 Wei Li. Wei 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
# Work Indexed citations
1 1
2 0
3 1
4 14
5 4
6 4
7 0
8 7
9 2
10 0
11 8
12 8
13 25
14 3
15 3
16 7
17 0
18 5
19
S100A9 promotes prostate cancer cell invasion by activating TLR4/NF-κB/integrin β1/FAK signaling
0
20 4

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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