Qian Wu

241 total papers · 4.4k total citations
121 papers, 2.0k citations indexed

About

Qian Wu is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Qian Wu has authored 121 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Oncology, 26 papers in Hematology and 20 papers in Immunology. Recurrent topics in Qian Wu's work include CAR-T cell therapy research (46 papers), Lymphoma Diagnosis and Treatment (15 papers) and Acute Myeloid Leukemia Research (12 papers). Qian Wu is often cited by papers focused on CAR-T cell therapy research (46 papers), Lymphoma Diagnosis and Treatment (15 papers) and Acute Myeloid Leukemia Research (12 papers). Qian Wu collaborates with scholars based in United States, China and South Africa. Qian Wu's co-authors include Jenna Voutsinas, David G. Maloney, Cameron J. Turtle, Alexandre V. Hirayama, Ang Li, David García, Stanley R. Riddell, Merav Bar, Mohamed L. Sorror and Joshua A. Hill and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nature Genetics.

In The Last Decade

Qian Wu

103 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Qian Wu 1.3k 486 420 417 310 121 2.0k
Jenna Voutsinas 1.2k 0.9× 390 0.8× 265 0.6× 278 0.7× 271 0.9× 74 1.6k
Cecilia C.S. Yeung 1.3k 1.0× 392 0.8× 376 0.9× 361 0.9× 318 1.0× 80 2.0k
Jordan Gauthier 1.4k 1.1× 373 0.8× 343 0.8× 450 1.1× 334 1.1× 111 2.0k
Armin Ghobadi 1.6k 1.2× 491 1.0× 324 0.8× 456 1.1× 384 1.2× 152 2.0k
David Wu 1.1k 0.9× 511 1.1× 544 1.3× 626 1.5× 325 1.0× 65 2.4k
Rammurti T. Kamble 1.4k 1.0× 543 1.1× 630 1.5× 514 1.2× 508 1.6× 66 2.1k
Mark B. Geyer 805 0.6× 613 1.3× 278 0.7× 352 0.8× 229 0.7× 61 1.6k
Sairah Ahmed 1.4k 1.0× 272 0.6× 592 1.4× 512 1.2× 228 0.7× 219 2.1k
Andrew J. Cowan 1.1k 0.8× 740 1.5× 758 1.8× 281 0.7× 124 0.4× 91 1.7k
Merav Bar 882 0.7× 605 1.2× 441 1.1× 359 0.9× 303 1.0× 50 1.8k

Countries citing papers authored by Qian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qian Wu

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