Jun Zhu

361 total papers · 22.7k total citations
145 papers, 5.4k citations indexed

About

Jun Zhu is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jun Zhu has authored 145 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 25 papers in Surgery and 24 papers in Genetics. Recurrent topics in Jun Zhu's work include Bioinformatics and Genomic Networks (36 papers), Gene expression and cancer classification (24 papers) and Gene Regulatory Network Analysis (14 papers). Jun Zhu is often cited by papers focused on Bioinformatics and Genomic Networks (36 papers), Gene expression and cancer classification (24 papers) and Gene Regulatory Network Analysis (14 papers). Jun Zhu collaborates with scholars based in United States, China and United Kingdom. Jun Zhu's co-authors include Eric E. Schadt, Bin Zhang, Roger E. Bumgarner, Eunjee Lee, Pek Yee Lum, Seungyeul Yoo, Rachel B. Brem, Bin Zhang, Erin N. Smith and Leonid Kruglyak and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jun Zhu

139 papers receiving 5.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Zhu 3.4k 923 904 757 552 145 5.4k
Mario Medvedovic 3.8k 1.1× 625 0.7× 1.4k 1.6× 776 1.0× 475 0.9× 161 6.8k
Ralf Herwig 4.7k 1.4× 1.1k 1.2× 848 0.9× 431 0.6× 510 0.9× 180 7.4k
Sampsa Hautaniemi 4.9k 1.4× 1.0k 1.1× 1.6k 1.7× 1.5k 2.0× 406 0.7× 184 7.6k
Maureen A. Sartor 5.1k 1.5× 892 1.0× 1.4k 1.6× 823 1.1× 615 1.1× 168 8.5k
Richard Leduc 3.5k 1.0× 412 0.4× 879 1.0× 932 1.2× 752 1.4× 177 6.5k
Krishna R. Kalari 3.2k 0.9× 616 0.7× 1.1k 1.2× 1.3k 1.7× 271 0.5× 131 5.4k
Jeffrey Lee 4.0k 1.2× 708 0.8× 628 0.7× 977 1.3× 747 1.4× 85 6.1k
Olivier Harismendy 3.0k 0.9× 773 0.8× 1.0k 1.1× 607 0.8× 373 0.7× 90 4.9k
Stephen W. Byers 5.2k 1.5× 1.1k 1.2× 1.2k 1.4× 1.9k 2.5× 564 1.0× 138 8.3k
Ken Matsumoto 4.9k 1.4× 1.0k 1.1× 915 1.0× 593 0.8× 314 0.6× 223 7.8k

Countries citing papers authored by Jun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhu. A scholar is included among the top collaborators of Jun Zhu 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 Zhu. Jun Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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