Daohai Yu
Impact in
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Co-authors
- Mark W. Dewhirst (19 shared papers)Thaddeus V. Samulski (5 shared papers)Linda Sanders (7 shared papers)Željko Vujašković (6 shared papers)Ellen L. Jones (5 shared papers)Leonard R. Prosnitz (4 shared papers)Jeffrey S. Weber (3 shared papers)James R. Oleson (1 shared paper)
- Journals
- Blood (10 papers)Journal of Clinical Oncology (7 papers)Clinical Cancer Research (6 papers)Circulation (5 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Daohai Yu
167 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 151
- Oncology 1.2k
- Cancer Research 555
- Immunology 656
- Biomaterials 414
- Hematology 304
Countries citing papers authored by Daohai Yu
This map shows the geographic impact of Daohai Yu'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 Daohai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohai Yu more than expected).
Fields of papers citing papers by Daohai Yu
This network shows the impact of papers produced by Daohai Yu. 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 Daohai Yu. The network helps show where Daohai Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daohai Yu, 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 481 | |
| 2 | 2007 | 242 | |
| 3 | 2009 | 239 | |
| 4 | 2007 | 221 | |
| 5 | 2003 | 221 | |
| 6 | 2009 | 188 | |
| 7 | 2016 | 176 | |
| 8 | 2010 | 165 | |
| 9 | 2014 | 147 | |
| 10 | 2006 | 136 | |
| 11 | 2003 | 118 | |
| 12 | 2006 | 114 | |
| 13 | 2006 | 110 | |
| 14 | 2007 | 108 | |
| 15 | 2015 | 95 | |
| 16 | 2012 | 91 | |
| 17 | 2010 | 87 | |
| 18 | 2017 | 87 | |
| 19 | Reduction of wound angiogenesis in patients treated with BMS-275291, a broad spectrum matrix metalloproteinase inhibitor. | 2003 | 84 |
| 20 | 2004 | 83 |
About Daohai Yu
Daohai Yu is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Hematology and Molecular Biology, having authored 180 papers that have together received 5.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Gastrointestinal motility and disorders (6 papers), Ultrasound and Hyperthermia Applications (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cutaneous Melanoma Detection and Management (5 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (555 citations), Immunology (656 citations), Biomaterials (414 citations) and Hematology (304 citations). Daohai Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mark W. Dewhirst, Thaddeus V. Samulski, Linda Sanders, Željko Vujašković, Ellen L. Jones, Leonard R. Prosnitz, Jeffrey S. Weber, James R. Oleson, Wenshi Wang and Pavel Yarmolenko. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, Circulation and International Journal of Radiation Oncology*Biology*Physics.
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.