Wei Ye
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Epigenetics and DNA Methylation 7
- Histone Deacetylase Inhibitors Research 6
- Oncology 42
- CAR-T cell therapy research 5
- Viral-associated cancers and disorders 4
- Co-authors
- Armando E. Giuliano (3 shared papers)Nora Hansen (2 shared papers)Edwin C. Glass (1 shared paper)Meghan B. Brennan (1 shared paper)Mark C. Kelley (1 shared paper)Philip I. Haigh (1 shared paper)Roderick R. Turner (1 shared paper)Susan Groshen (6 shared papers)
- Journals
- Journal of Medical Virology (3 papers)Blood (3 papers)The American Journal of Surgery (2 papers)Tissue and Cell (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Ye
115 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 685
- Oncology 820
- Pathology and Forensic Medicine 423
- Immunology 305
- Obstetrics and Gynecology 83
Countries citing papers authored by Wei Ye
This map shows the geographic impact of Wei Ye'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 Wei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ye more than expected).
Fields of papers citing papers by Wei Ye
This network shows the impact of papers produced by Wei Ye. 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 Wei Ye. The network helps show where Wei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ye, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 468 | |
| 2 | 2012 | 329 | |
| 3 | 2004 | 73 | |
| 4 | 2019 | 72 | |
| 5 | 2001 | 58 | |
| 6 | 2015 | 54 | |
| 7 | 2015 | 53 | |
| 8 | 2001 | 49 | |
| 9 | 2007 | 41 | |
| 10 | 2016 | 35 | |
| 11 | 2015 | 35 | |
| 12 | 2015 | 31 | |
| 13 | 2016 | 29 | |
| 14 | 2003 | 29 | |
| 15 | 2002 | 28 | |
| 16 | 2017 | 28 | |
| 17 | 2013 | 26 | |
| 18 | 2015 | 26 | |
| 19 | 2016 | 24 | |
| 20 | 2001 | 23 |
About Wei Ye
Wei Ye is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 127 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Epigenetics and DNA Methylation (7 papers), Histone Deacetylase Inhibitors Research (6 papers), CAR-T cell therapy research (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immune Cell Function and Interaction (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Cancer Research (685 citations), Oncology (820 citations), Pathology and Forensic Medicine (423 citations), Immunology (305 citations) and Obstetrics and Gynecology (83 citations). Wei Ye has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Armando E. Giuliano, Nora Hansen, Edwin C. Glass, Meghan B. Brennan, Mark C. Kelley, Philip I. Haigh, Roderick R. Turner, Susan Groshen, Donald L. Morton and Hui Li. Their work appears in journals such as Journal of Medical Virology, Blood, The American Journal of Surgery, Tissue and Cell and Cancer Research.
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.