Jun Z. Li

24.3k total citations · 5 hit papers
92 papers, 10.2k citations indexed

About

Jun Z. Li is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jun Z. Li has authored 92 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 23 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Jun Z. Li's work include Cancer Genomics and Diagnostics (9 papers), Single-cell and spatial transcriptomics (9 papers) and Genetic Associations and Epidemiology (8 papers). Jun Z. Li is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Single-cell and spatial transcriptomics (9 papers) and Genetic Associations and Epidemiology (8 papers). Jun Z. Li collaborates with scholars based in United States, China and Canada. Jun Z. Li's co-authors include R Myers, Jared Chase, Theresa L. Windus, Lisong Sun, Brett Didier, Todd Elsethagen, Vidhya Gurumoorthi, Karen Schuchardt, Marcus W. Feldman and Gregory S. Barsh and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Z. Li

89 papers receiving 10.1k citations

Hit Papers

Basis Set Exchange: A Community Database for Computationa... 2007 2026 2013 2019 2007 2008 2014 2009 2012 500 1000 1.5k 2.0k 2.5k

Peers

Jun Z. Li
Comparison fields: 5 of 205
  • Molecular Biology 3.4k
  • Genetics 2.8k
  • Atomic and Molecular Physics, and Optics 1.0k
  • Materials Chemistry 862
  • Organic Chemistry 830
Replace Akira Shimizu with:
Akira Shimizu Japan
Isao Tanaka Japan
Vernon Anderson United States
Sharon M. Kelly United Kingdom
Masaki Yamamoto Japan
Masako Suzuki Japan
Brian J. Smith Australia
Kazuyoshi Takeda Japan
Lennart Nilsson Sweden
Pernilla Wittung‐Stafshede Sweden
Akira Shimizu Japan View profile →
Citations per field, relative to Jun Z. Li
Jun Z. Li · 1×
Citations per year, relative to Jun Z. Li
Jun Z. Li · 1×

Countries citing papers authored by Jun Z. Li

Since Specialization
Citations

This map shows the geographic impact of Jun Z. 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 Z. 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 Z. Li more than expected).

Fields of papers citing papers by Jun Z. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Z. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Z. Li. A scholar is included among the top collaborators of Jun Z. 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 Z. Li. Jun Z. 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 2
3 14
4 5
5 6
6 4
7 0
8 9
9 20
10 31
11 13
12 16
13 9
14 4
15 6
16 47
17 27
18
[Investigation of molar-incisor hypomineralization among children from 6 to 11 years in Lucheng district, Wenzhou city].
9
19
Signals of recent positive selection in a worldwide sample of human populations breakdown →
535
20 13

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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