Zekui Wu
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 17
- Immunotherapy and Immune Responses 16
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Donald KüfeDavid AviganJianlin GongDongshu ChenBaldev VasirShigeo KoidoJacalyn RosenblattMasahiro Kashiwaba
- Journals
- Blood (10 papers)The Journal of Immunology (3 papers)Journal of Immunotherapy (2 papers)Cancer Research (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United StatesIsraelSingapore
In The Last Decade
Zekui Wu
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 54
- Immunology 853
- Oncology 607
- Hematology 204
- Molecular Biology 556
- Radiology, Nuclear Medicine and Imaging 113
Countries citing papers authored by Zekui Wu
This map shows the geographic impact of Zekui 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 Zekui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zekui Wu more than expected).
Fields of papers citing papers by Zekui Wu
This network shows the impact of papers produced by Zekui 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 Zekui Wu. The network helps show where Zekui Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zekui Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2012 | 8 | |
| 3 | 2010 | 23 | |
| 4 | 2010 | 169 | |
| 5 | 2009 | 125 | |
| 6 | 2009 | 1 | |
| 7 | 2009 | 5 | |
| 8 | 2008 | 41 | |
| 9 | 2008 | 1 | |
| 10 | 2007 | 34 | |
| 11 | 2007 | 1 | |
| 12 | 2007 | 2 | |
| 13 | 2005 | 26 | |
| 14 | 2005 | 47 | |
| 15 | 2004 | 203 | |
| 16 | 2004 | 4 | |
| 17 | 2000 | 184 | |
| 18 | 2000 | 173 | |
| 19 | 1999 | 47 | |
| 20 | 1999 | 56 |
About Zekui Wu
Zekui Wu is a scholar working on Immunology, Hematology, Oncology, Molecular Biology and Genetics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), vaccines and immunoinformatics approaches (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Multiple Myeloma Research and Treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers), CAR-T cell therapy research (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Immunology (853 citations), Oncology (607 citations), Hematology (204 citations), Molecular Biology (556 citations) and Radiology, Nuclear Medicine and Imaging (113 citations). Zekui Wu has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Donald Küfe, David Avigan, Jianlin Gong, Dongshu Chen, Baldev Vasir, Shigeo Koido, Jacalyn Rosenblatt, Masahiro Kashiwaba, Kenneth C. Anderson and Lynne Uhl. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Immunotherapy, Cancer Research and British Journal of Haematology.
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.