Wei Li

18.8k citations
657 papers · 10.9k · 2 hit papers · h-index 53

Impact in

Papers in

    • Immune Cell Function and Interaction 42
    • T-cell and B-cell Immunology 16
    • Immunotherapy and Immune Responses 15
    • Hepatitis B Virus Studies 27

Wei Li

622 papers receiving 10.7k citations

Wei Li's Hit Papers

Association between serum vitamin D level and cardiovascular disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study 2025 · 31 citations
310Years since publication102030

Peers

Wei Li
Comparison fields: 5 of 202
  • Hepatology 1.0k
  • Molecular Medicine 471
  • Virology 405
  • Immunology 1.7k
  • Oncology 1.3k
Replace Xiao Liu with:
Xiao Liu China
Nayoung Kim South Korea
Huub Schellekens Netherlands
Maikel P. Peppelenbosch Netherlands
Qi Zhao China
Hans Gelderblom Netherlands
Lijun Zhang China
Peng Li China
Zhi Chen China
Shahab Uddin Qatar
Wei Li relative to Xiao Liu China Xiao Liu's profile →
Citations per field
00.5×2.9×
Xiao Liu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wei Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Li Line = papers co-authored together Wei Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 657 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996391
2 1999343
3 2002258
4 2013244
5 2004180
6 2013147
7 2008141
8 2012132
9 2001129
10 2019127
11 2010114
12 2018113
13 2020104
14 2013104
15 2012104
16 2021103
17 201798
18 202196
19 200988
20 201286

About Wei Li

Wei Li is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Hepatology, having authored 657 papers that have together received 10.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (42 papers), Hepatocellular Carcinoma Treatment and Prognosis (40 papers), Hepatitis B Virus Studies (27 papers), HIV Research and Treatment (26 papers), Hepatitis C virus research (25 papers), T-cell and B-cell Immunology (16 papers), Immunotherapy and Immune Responses (15 papers) and Peptidase Inhibition and Analysis (15 papers). The work is most often cited by research in Hepatology (1.0k citations), Molecular Medicine (471 citations), Virology (405 citations), Immunology (1.7k citations) and Oncology (1.3k citations). Wei Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anna Mondino, Daniel L. Mueller, Xianping Liang, Rebecca Taub, Christoph Kellendonk, Valeria Poli, Sundaram Ramakrishnan, Robert P. Hebbel, Ping‐Yee Law and Smita Kshirsagar. Their work appears in journals such as Scientific Reports, PLoS ONE, Medicine, Frontiers in Oncology and Biochemical and Biophysical Research Communications.

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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