Chaowei Wu
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 7
- Oncology 7
- Viral-associated cancers and disorders 3
- Co-authors
- Edward A. Fisher (4 shared papers)Michael J. Garabedian (4 shared papers)Jonathan E. Feig (3 shared papers)Yuliya Vengrenyuk (3 shared papers)Henry Y. Dong (3 shared papers)Wojciech Gorczyca (3 shared papers)Patricia Tsang (3 shared papers)James Weisberger (3 shared papers)
- Journals
- American Journal of Clinical Pathology (5 papers)PLoS ONE (2 papers)American Journal of Hematology (2 papers)Diagnostic Cytopathology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Chaowei Wu
16 papers receiving 817 citations
Peers
Comparison fields: 5 of 64
- Genetics 210
- Pathology and Forensic Medicine 315
- Immunology 278
- Oncology 279
- Dermatology 60
Countries citing papers authored by Chaowei Wu
This map shows the geographic impact of Chaowei 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 Chaowei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaowei Wu more than expected).
Fields of papers citing papers by Chaowei Wu
This network shows the impact of papers produced by Chaowei 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 Chaowei Wu. The network helps show where Chaowei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaowei 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 | 2010 | 148 | |
| 2 | 2011 | 124 | |
| 3 | 2002 | 97 | |
| 4 | 2002 | 94 | |
| 5 | 2012 | 92 | |
| 6 | 2003 | 73 | |
| 7 | 1998 | 58 | |
| 8 | 1997 | 53 | |
| 9 | 2000 | 36 | |
| 10 | 1996 | 26 | |
| 11 | 2015 | 20 | |
| 12 | 1999 | 13 | |
| 13 | 2019 | 3 | |
| 14 | 2001 | 2 | |
| 15 | 2002 | 1 | |
| 16 | 2007 | 1 | |
| 17 | 2001 | 0 |
About Chaowei Wu
Chaowei Wu is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Surgery and Genetics, having authored 17 papers that have together received 841 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (4 papers), Viral-associated cancers and disorders (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cholesterol and Lipid Metabolism (2 papers), Hematological disorders and diagnostics (2 papers), Acute Myeloid Leukemia Research (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Genetics (210 citations), Pathology and Forensic Medicine (315 citations), Immunology (278 citations), Oncology (279 citations) and Dermatology (60 citations). Chaowei Wu has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Edward A. Fisher, Michael J. Garabedian, Jonathan E. Feig, Yuliya Vengrenyuk, Henry Y. Dong, Wojciech Gorczyca, Patricia Tsang, James Weisberger, Inès Pineda‐Torra and Patti Cohen. Their work appears in journals such as American Journal of Clinical Pathology, PLoS ONE, American Journal of Hematology, Diagnostic Cytopathology and Annals of Oncology.
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.