Jun Li

46.4k total citations · 5 hit papers
661 papers, 17.2k citations indexed

About

Jun Li is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Jun Li has authored 661 papers receiving a total of 17.2k indexed citations (citations by other indexed papers that have themselves been cited), including 241 papers in Molecular Biology, 92 papers in Genetics and 86 papers in Infectious Diseases. Recurrent topics in Jun Li's work include Gut microbiota and health (46 papers), Genomics and Phylogenetic Studies (43 papers) and Viral gastroenteritis research and epidemiology (33 papers). Jun Li is often cited by papers focused on Gut microbiota and health (46 papers), Genomics and Phylogenetic Studies (43 papers) and Viral gastroenteritis research and epidemiology (33 papers). Jun Li collaborates with scholars based in China, United States and Hong Kong. Jun Li's co-authors include Jun Wang, Jun Yu, Gane Ka‐Shu Wong, Zhang Zhang, Xiaoqian Zhao, Gianni Panagiotou, Mǎng Shī, Yueqiong Ni, Edward C. Holmes and Wen Wang and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Li

625 papers receiving 16.9k citations

Hit Papers

Redefining the invertebrate RNA virosphere 2006 2026 2012 2019 2016 2006 2010 2016 2018 250 500 750 1000

Peers

Jun Li
Comparison fields: 5 of 212
  • Molecular Biology 6.6k
  • Plant Science 3.2k
  • Infectious Diseases 2.6k
  • Genetics 2.4k
  • Epidemiology 1.6k
Replace Jim F. Huggett with:
Jim F. Huggett United Kingdom
Tania Nolan United Kingdom
Joseph L. DeRisi United States
Joaquı́n Dopazo Spain
Jan Hellemans Belgium
Richard J. Jackson United States
Guoping Zhao China
Levi Waldron United States
Jeremy A. Garson United Kingdom
Mikael Kubista Czechia
Jim F. Huggett United Kingdom View profile →
Citations per field, relative to Jun Li
Jun Li · 1×
Citations per year, relative to Jun Li
Jun Li · 1×

Countries citing papers authored by Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Li. A scholar is included among the top collaborators of Jun 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 Jun Li. Jun 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 8
3 0
4 5
5 1
6 1
7 2
8 2
9 0
10 0
11 1
12 12
13 11
14 10
15 1
16 31
17 3
18 15
19 190
20 1

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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