Bingyan Wu

1.3k citations
26 papers · 982 · h-index 10

Impact in

Papers in

    • Cancer Cells and Metastasis 3
    • Colorectal Cancer Treatments and Studies 2
    • Cancer Treatment and Pharmacology 2
    • CAR-T cell therapy research 2
    • Advanced biosensing and bioanalysis techniques 2

Bingyan Wu

23 papers receiving 975 citations

Peers

Bingyan Wu
Comparison fields: 5 of 82
  • Immunology and Allergy 309
  • Oncology 407
  • Hematology 85
  • Immunology 146
  • Cell Biology 102
Replace Eleonora Dondossola with:
Eleonora Dondossola United States
Tobias G. Kapp Germany
Jay George United States
Taturo Udagawa United States
Brian A. MacDonald United States
Axel Seher Germany
Sang‐Yong Song South Korea
Keizo Yamamura Japan
Sylvain D. Vallet France
Cédric Zeltz Norway
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Citations per field
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Citations per year

Countries citing papers authored by Bingyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bingyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bingyan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bingyan Wu Line = papers co-authored together Bingyan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005291
2 2005267
3 2023108
4 200576
5 200668
6 201744
7 201325
8 200418
9 202014
10 202110
11 20069
12 20068
13 20198
14 20188
15 20096
16 20045
17 20234
18 20194
19 20223
20 20232

About Bingyan Wu

Bingyan Wu is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 26 papers that have together received 982 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Treatment and Pharmacology (2 papers), Molecular Sensors and Ion Detection (2 papers), Cell Adhesion Molecules Research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology and Allergy (309 citations), Oncology (407 citations), Hematology (85 citations), Immunology (146 citations) and Cell Biology (102 citations). Bingyan Wu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Richard C. Bates, Courtney Brown, Hisaaki Kawakatsu, Peter Oettgen, Arthur M. Mercurio, Elizabeth Maynard, Dean Sheppard, David I. Bellovin, Peter C. Enzinger and Jeffrey W. Clark. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Clinical Investigation, Advanced Materials and Cellular and Molecular Immunology.

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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