Wei Ye
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 30
- Colorectal Cancer Surgical Treatments 5
- Cancer Cells and Metastasis 4
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- Epigenetics and DNA Methylation 8
- Histone Deacetylase Inhibitors Research 6
- Protein Degradation and Inhibitors 4
- Co-authors
- Armando E. Giuliano (3 shared papers)Nora M Hansen (2 shared papers)Philip I. Haigh (1 shared paper)Mark Carlton Kelley (1 shared paper)Meghan B. Brennan (1 shared paper)Roderick R. Turner (1 shared paper)Edwin C. Glass (1 shared paper)Susan G. Groshen (6 shared papers)
- Journals
- Journal of Medical Virology (3 papers)Nanotechnology (2 papers)Tissue and Cell (2 papers)Frontiers in Immunology (2 papers)Corrosion Science (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Ye
121 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 634
- Oncology 732
- Immunology 301
- Pathology and Forensic Medicine 227
- Obstetrics and Gynecology 85
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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 484 | |
| 2 | 2012 | 348 | |
| 3 | 2004 | 80 | |
| 4 | 2019 | 79 | |
| 5 | 2001 | 66 | |
| 6 | 2015 | 58 | |
| 7 | 2015 | 55 | |
| 8 | 2001 | 49 | |
| 9 | 2007 | 41 | |
| 10 | 2016 | 38 | |
| 11 | 2015 | 36 | |
| 12 | 2003 | 33 | |
| 13 | 2002 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2015 | 30 | |
| 16 | 2016 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2016 | 27 | |
| 19 | 2023 | 27 | |
| 20 | 2010 | 24 |
About Wei Ye
Wei Ye is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Genetics, having authored 130 papers that have together received 2.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Histone Deacetylase Inhibitors Research (6 papers), Colorectal Cancer Surgical Treatments (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Immunotherapy and Immune Responses (5 papers), Protein Degradation and Inhibitors (4 papers), Cancer Cells and Metastasis (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (634 citations), Oncology (732 citations), Immunology (301 citations), Pathology and Forensic Medicine (227 citations) and Obstetrics and Gynecology (85 citations). Wei Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Armando E. Giuliano, Nora M Hansen, Philip I. Haigh, Mark Carlton Kelley, Meghan B. Brennan, Roderick R. Turner, Edwin C. Glass, Susan G. Groshen, Donald L. Morton and Xiubao Ren. Their work appears in journals such as Journal of Medical Virology, Nanotechnology, Tissue and Cell, Frontiers in Immunology and Corrosion Science.
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.