Weiwei Wu

59 total papers · 2.5k total citations
32 papers, 1.6k citations indexed

About

Weiwei Wu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Weiwei Wu has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 13 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Weiwei Wu's work include CAR-T cell therapy research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Phagocytosis and Immune Regulation (4 papers). Weiwei Wu is often cited by papers focused on CAR-T cell therapy research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Phagocytosis and Immune Regulation (4 papers). Weiwei Wu collaborates with scholars based in China, United States and Germany. Weiwei Wu's co-authors include Abdel G. Elkahloun, E. Ashley Moseman, Dorian B. McGavern, Luca Gattinoni, Stacie M. Anderson, Pamela L. Schwartzberg, Elizabeth Kenyon, Haifeng C. Xu, Yun Ji and Philipp A. Lang and has published in prestigious journals such as Blood, Cancer Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Weiwei Wu

29 papers receiving 1.6k citations

Hit Papers

The TCF1-Bcl6 axis counte... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Weiwei Wu 806 736 486 149 115 32 1.6k
Alice E. Denton 1.0k 1.3× 660 0.9× 563 1.2× 126 0.8× 120 1.0× 28 1.8k
Melanie Laschinger 1.2k 1.5× 621 0.8× 532 1.1× 158 1.1× 85 0.7× 37 2.4k
Catherine E. Hughes 624 0.8× 570 0.8× 587 1.2× 210 1.4× 113 1.0× 17 1.8k
Mercedes López 1.0k 1.2× 624 0.8× 625 1.3× 95 0.6× 85 0.7× 63 1.8k
Valentina Salvi 816 1.0× 432 0.6× 731 1.5× 174 1.2× 138 1.2× 50 1.9k
Linda Quatrini 1.1k 1.4× 651 0.9× 295 0.6× 96 0.6× 128 1.1× 40 1.7k
Andrea L. Szymczak-Workman 1.3k 1.6× 704 1.0× 458 0.9× 126 0.8× 64 0.6× 26 1.9k
Alexis J. Combes 1.1k 1.3× 605 0.8× 511 1.1× 125 0.8× 103 0.9× 37 1.6k
Ayad Eddaoudi 864 1.1× 389 0.5× 605 1.2× 172 1.2× 65 0.6× 31 2.0k
Álvaro Lladser 1.2k 1.5× 806 1.1× 643 1.3× 85 0.6× 93 0.8× 46 2.0k

Countries citing papers authored by Weiwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Wu

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