Xing Ye
Impact in
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
- Oncology 19
- Cutaneous Melanoma Detection and Management 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Donald L. Morton (13 shared papers)Armando E. Giuliano (8 shared papers)Dave S.�B. Hoon (7 shared papers)Richard Essner (7 shared papers)Myung‐Shin Sim (6 shared papers)Roderick R. Turner (4 shared papers)Eddy C. Hsueh (4 shared papers)Mark B. Faries (4 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Annals of Surgical Oncology (6 papers)Clinical Cancer Research (3 papers)PLoS ONE (3 papers)Frontiers in Microbiology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xing Ye
106 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 151
- Oncology 1.1k
- Cancer Research 482
- Immunology 599
- Molecular Biology 853
- Hepatology 74
Countries citing papers authored by Xing Ye
This map shows the geographic impact of Xing 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 Xing Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Ye more than expected).
Fields of papers citing papers by Xing Ye
This network shows the impact of papers produced by Xing 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 Xing Ye. The network helps show where Xing Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 204 | |
| 2 | 2002 | 172 | |
| 3 | 2006 | 153 | |
| 4 | 2009 | 129 | |
| 5 | 2010 | 123 | |
| 6 | 2007 | 97 | |
| 7 | 2007 | 92 | |
| 8 | 2003 | 82 | |
| 9 | 2022 | 81 | |
| 10 | 2013 | 81 | |
| 11 | 2006 | 80 | |
| 12 | 2009 | 76 | |
| 13 | 2013 | 69 | |
| 14 | 2016 | 66 | |
| 15 | 1999 | 66 | |
| 16 | 2014 | 58 | |
| 17 | 2005 | 56 | |
| 18 | 2018 | 54 | |
| 19 | 2022 | 50 | |
| 20 | 2017 | 44 |
About Xing Ye
Xing Ye is a scholar working on Molecular Biology, Oncology, Immunology, Materials Chemistry and Genetics, having authored 115 papers that have together received 3.0k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (8 papers), Aquaculture Nutrition and Growth (7 papers), Immunotherapy and Immune Responses (6 papers), Breast Cancer Treatment Studies (5 papers), Cutaneous Melanoma Detection and Management (5 papers), Animal Genetics and Reproduction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Solid-state spectroscopy and crystallography (4 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (482 citations), Immunology (599 citations), Molecular Biology (853 citations) and Hepatology (74 citations). Xing Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Donald L. Morton, Armando E. Giuliano, Dave S.�B. Hoon, Richard Essner, Myung‐Shin Sim, Roderick R. Turner, Eddy C. Hsueh, Mark B. Faries, Leland J. Foshag and Sanjay P. Bagaria. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgical Oncology, Clinical Cancer Research, PLoS ONE and Frontiers in Microbiology.
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.