Wei Li

98.2k total citations · 13 hit papers
538 papers, 38.5k citations indexed

About

Wei Li is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wei Li has authored 538 papers receiving a total of 38.5k indexed citations (citations by other indexed papers that have themselves been cited), including 383 papers in Molecular Biology, 131 papers in Cancer Research and 54 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wei Li's work include RNA modifications and cancer (138 papers), Epigenetics and DNA Methylation (116 papers) and RNA Research and Splicing (76 papers). Wei Li is often cited by papers focused on RNA modifications and cancer (138 papers), Epigenetics and DNA Methylation (116 papers) and RNA Research and Splicing (76 papers). Wei Li collaborates with scholars based in China, United States and United Kingdom. Wei Li's co-authors include Clifford A. Meyer, Tao Liu, X. Shirley Liu, Yong Zhang, Myles Brown, David S. Johnson, Chad Nusbaum, Jérôme Eeckhoute, B Bernstein and R Myers and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Wei Li

511 papers receiving 38.2k citations

Hit Papers

Model-based Analysis of ChIP-Seq (MACS) 1999 2026 2008 2017 2008 2012 2013 1999 2009 2.5k 5.0k 7.5k 10.0k

Peers

Wei Li
Comparison fields: 5 of 187
  • Molecular Biology 29.5k
  • Cancer Research 8.1k
  • Genetics 4.0k
  • Plant Science 3.7k
  • Immunology 3.6k
Replace Da Wei Huang with:
Da Wei Huang United States
Carrie Davis United States
Felix Schlesinger United States
Yi Zhang United States
Mark Chaisson United States
Marco A. Marra Canada
Milan Simonovic Switzerland
Yang Shi United States
Davis J. McCarthy Australia
Philippe Batut United States
Da Wei Huang United States 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 0
2 3
3 1
4 2
5 4
6 1
7 9
8 1
9
[Bioinformatics analysis of the association between long non-coding RNA ubiquitin-specific peptidase 30 antisense RNA 1 (lncRNA USP30-AS1) and immune cell infiltration in ovarian serous cystadenocarcinoma].
1
10 92
11 35
12 51
13 38
14
Statistical Methods for Bulk and Single-cell RNA Sequencing Data
1
15 81
16 52
17 103
18 27
19 1
20 174

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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2026