Feng Ye
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
Papers in
-
- Cell Adhesion Molecules Research 17
- Oncology 16
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Mark H. Ginsberg (16 shared papers)Chungho Kim (7 shared papers)Bi‐Cheng Liu (10 shared papers)David R. Critchley (3 shared papers)Lin‐Li Lv (8 shared papers)Brian G. Petrich (4 shared papers)Tao‐Tao Tang (8 shared papers)Hai-Feng Ni (6 shared papers)
- Journals
- PLoS ONE (6 papers)Journal of Biological Chemistry (5 papers)The Journal of Cell Biology (4 papers)Cell Death and Disease (3 papers)BMC Cancer (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feng Ye
185 papers receiving 5.4k citations
Feng Ye's Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology and Allergy 873
- Nephrology 308
- Cancer Research 252
- Oncology 341
- Cell Biology 161
Countries citing papers authored by Feng Ye
This map shows the geographic impact of Feng 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 Feng Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ye more than expected).
Fields of papers citing papers by Feng Ye
This network shows the impact of papers produced by Feng 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 Feng Ye. The network helps show where Feng Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 198 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 359 | |
| 2 | 2019 | 337 | |
| 3 | 2009 | 280 | |
| 4 | 2007 | 250 | |
| 5 | The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer Hit paper breakdown → | 2022 | 225 |
| 6 | 2017 | 222 | |
| 7 | 2010 | 217 | |
| 8 | 2015 | 139 | |
| 9 | 2008 | 131 | |
| 10 | 2011 | 105 | |
| 11 | 2012 | 92 | |
| 12 | 2014 | 90 | |
| 13 | 2011 | 81 | |
| 14 | 2018 | 77 | |
| 15 | 2018 | 67 | |
| 16 | 2012 | 62 | |
| 17 | 2017 | 60 | |
| 18 | 2020 | 56 | |
| 19 | 2018 | 55 | |
| 20 | 2013 | 51 |
About Feng Ye
Feng Ye is a scholar working on Immunology and Allergy, Oncology, Nephrology, Cancer Research and Computer Vision and Pattern Recognition, having authored 198 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (17 papers), Extracellular vesicles in disease (6 papers), Video Coding and Compression Technologies (5 papers), Cancer Cells and Metastasis (5 papers), Breast Cancer Treatment Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Digital Media Forensic Detection (4 papers) and Dialysis and Renal Disease Management (4 papers). The work is most often cited by research in Immunology and Allergy (873 citations), Nephrology (308 citations), Cancer Research (252 citations), Oncology (341 citations) and Cell Biology (161 citations). Feng Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mark H. Ginsberg, Chungho Kim, Bi‐Cheng Liu, David R. Critchley, Lin‐Li Lv, Brian G. Petrich, Tao‐Tao Tang, Hai-Feng Ni, Zuo‐Lin Li and Huaizeng Chen. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, The Journal of Cell Biology, Cell Death and Disease and BMC Cancer.
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.