Li Wu

160 total papers · 16.8k total citations
120 papers, 12.9k citations indexed

About

Li Wu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Li Wu has authored 120 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Immunology, 27 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Li Wu's work include T-cell and B-cell Immunology (75 papers), Immunotherapy and Immune Responses (72 papers) and Immune Cell Function and Interaction (49 papers). Li Wu is often cited by papers focused on T-cell and B-cell Immunology (75 papers), Immunotherapy and Immune Responses (72 papers) and Immune Cell Function and Interaction (49 papers). Li Wu collaborates with scholars based in Australia, China and United States. Li Wu's co-authors include Ken Shortman, David Vremec, Meredith O’Keeffe, Angela D’Amico, Shalin H. Naik, Anna I. Proietto, Gordon K. Smyth, Roland Scollay, Donald Metcalf and Hubertus Hochrein and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Li Wu

117 papers receiving 12.7k citations

Hit Papers

Generation of a functiona... 1992 2026 2003 2014 2006 2000 2007 1992 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Li Wu 9.3k 3.4k 2.4k 967 715 120 12.9k
David Allman 6.6k 0.7× 3.3k 1.0× 2.4k 1.0× 768 0.8× 652 0.9× 112 11.0k
Boris Reizis 9.4k 1.0× 3.1k 0.9× 1.5k 0.7× 771 0.8× 711 1.0× 130 12.5k
Andrew G. Farr 8.5k 0.9× 2.6k 0.8× 2.0k 0.9× 490 0.5× 814 1.1× 124 13.2k
J A Ledbetter 9.4k 1.0× 3.2k 1.0× 2.0k 0.9× 639 0.7× 854 1.2× 99 12.7k
Naoto Ishii 7.0k 0.8× 2.3k 0.7× 2.4k 1.0× 648 0.7× 839 1.2× 167 10.9k
William C. Fanslow 9.6k 1.0× 2.3k 0.7× 2.3k 1.0× 956 1.0× 699 1.0× 108 13.1k
Christopher J. Paige 7.9k 0.8× 3.9k 1.2× 2.1k 0.9× 668 0.7× 1.1k 1.5× 159 12.2k
Iqbal S. Grewal 7.7k 0.8× 2.0k 0.6× 2.3k 1.0× 808 0.8× 873 1.2× 125 10.8k
Axel Kallies 9.6k 1.0× 2.2k 0.6× 2.9k 1.2× 606 0.6× 830 1.2× 155 12.3k
Otto Majdic 6.8k 0.7× 2.5k 0.7× 1.9k 0.8× 664 0.7× 490 0.7× 192 10.5k

Countries citing papers authored by Li Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Wu. A scholar is included among the top collaborators of Li Wu 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 Li Wu. Li Wu 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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