David Wu
Impact in
- Oncology top 2%
- Viral-associated cancers and disorders
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 20
- Acute Myeloid Leukemia Research 15
-
- Lymphoma Diagnosis and Treatment 22
- Co-authors
- Brent Lee Wood (23 shared papers)Jonathan R. Fromm (23 shared papers)Harlan S. Robins (7 shared papers)Min Fang (4 shared papers)Anna Sherwood (5 shared papers)David G. Maloney (3 shared papers)Sindhu Cherian (3 shared papers)Cameron John Turtle (1 shared paper)
- Journals
- Blood (10 papers)Cytometry Part B Clinical Cytometry (8 papers)American Journal of Clinical Pathology (7 papers)Blood Advances (5 papers)Transplantation and Cellular Therapy (3 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
David Wu
73 papers receiving 4k citations
David Wu's Hit Papers
Peers
Comparison fields: 5 of 77
- Oncology 1.3k
- Hematology 751
- Pathology and Forensic Medicine 614
- Immunology 414
- Public Health, Environmental and Occupational Health 590
Countries citing papers authored by David Wu
This map shows the geographic impact of David 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 David Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wu more than expected).
Fields of papers citing papers by David Wu
This network shows the impact of papers produced by David 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 David Wu. The network helps show where David Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Acquisition of a CD19-negative myeloid phenotype allows immune escape of MLL-rearranged B-ALL from CD19 CAR-T-cell therapy Hit paper breakdown → | 2016 | 663 |
| 2 | 2013 | 475 | |
| 3 | 2017 | 448 | |
| 4 | 2013 | 237 | |
| 5 | 2012 | 198 | |
| 6 | 2017 | 171 | |
| 7 | Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia Hit paper breakdown → | 2022 | 168 |
| 8 | 2018 | 139 | |
| 9 | 2020 | 136 | |
| 10 | 2014 | 125 | |
| 11 | 2019 | 121 | |
| 12 | 2019 | 121 | |
| 13 | 2017 | 106 | |
| 14 | 2017 | 80 | |
| 15 | 2010 | 58 | |
| 16 | 2019 | 50 | |
| 17 | 2014 | 48 | |
| 18 | 2016 | 44 | |
| 19 | 2015 | 34 | |
| 20 | 2015 | 33 |
About David Wu
David Wu is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 74 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (12 papers), Viral-associated cancers and disorders (6 papers), Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (6 papers), T-cell and B-cell Immunology (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Oncology (1.3k citations), Hematology (751 citations), Pathology and Forensic Medicine (614 citations), Immunology (414 citations) and Public Health, Environmental and Occupational Health (590 citations). David Wu has collaborated with scholars based in United States, France and China. Frequent co-authors include Brent Lee Wood, Jonathan R. Fromm, Harlan S. Robins, Min Fang, Anna Sherwood, David G. Maloney, Sindhu Cherian, Cameron John Turtle, Stanley R. Riddell and Hannah M. Smithers. Their work appears in journals such as Blood, Cytometry Part B Clinical Cytometry, American Journal of Clinical Pathology, Blood Advances and Transplantation and Cellular Therapy.
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.