Yunbin Ye
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- TGF-β signaling in diseases 5
- Oncology 18
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 5
- Viral-associated cancers and disorders 4
- Co-authors
- Wansong Lin (20 shared papers)Jieyu Li (25 shared papers)Chuanzhong Huang (16 shared papers)Mingshui Chen (4 shared papers)Zhifeng Zhou (14 shared papers)Jingfeng Zong (7 shared papers)Qiaojuan Guo (5 shared papers)Yuanji Xu (4 shared papers)
- Journals
- Oncology Reports (3 papers)Gene (2 papers)Cellular Immunology (2 papers)Advanced Science (2 papers)Medical Oncology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yunbin Ye
56 papers receiving 772 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 214
- Immunology 210
- Oncology 256
- Molecular Biology 376
- Neurology 48
Countries citing papers authored by Yunbin Ye
This map shows the geographic impact of Yunbin 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 Yunbin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunbin Ye more than expected).
Fields of papers citing papers by Yunbin Ye
This network shows the impact of papers produced by Yunbin 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 Yunbin Ye. The network helps show where Yunbin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunbin 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2014 | 61 | |
| 3 | 2018 | 53 | |
| 4 | 2020 | 52 | |
| 5 | 2019 | 45 | |
| 6 | 2008 | 44 | |
| 7 | 2020 | 34 | |
| 8 | 2016 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 2015 | 27 | |
| 11 | 2019 | 25 | |
| 12 | 2014 | 22 | |
| 13 | 2020 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2008 | 16 | |
| 18 | 2022 | 15 | |
| 19 | Decreased expression of liver-type fatty acid-binding protein is associated with poor prognosis in hepatocellular carcinoma. | 2014 | 13 |
| 20 | 2018 | 13 |
About Yunbin Ye
Yunbin Ye is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 774 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (5 papers), TGF-β signaling in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers), Viral-associated cancers and disorders (4 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (214 citations), Immunology (210 citations), Oncology (256 citations), Molecular Biology (376 citations) and Neurology (48 citations). Yunbin Ye has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wansong Lin, Jieyu Li, Chuanzhong Huang, Mingshui Chen, Zhifeng Zhou, Jingfeng Zong, Qiaojuan Guo, Yuanji Xu, Cheng Lin and Honglin Chen. Their work appears in journals such as Oncology Reports, Gene, Cellular Immunology, Advanced Science and Medical 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.