Feng Ye
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Cell Biology top 1%
- Cellular Mechanics and Interactions
Papers in
-
- Extracellular vesicles in disease 6
- Oncology 23
- Cancer Cells and Metastasis 8
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Mark H. Ginsberg (16 shared papers)Chungho Kim (7 shared papers)Bi‐Cheng Liu (9 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)Journal of Translational Medicine (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Ye
145 papers receiving 4.8k citations
Feng Ye's Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology and Allergy 1.1k
- Cell Biology 772
- Cancer Research 635
- Nephrology 290
- Hematology 386
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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 346 | |
| 2 | Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injury Hit paper breakdown → | 2019 | 323 |
| 3 | 2009 | 272 | |
| 4 | 2007 | 240 | |
| 5 | 2017 | 209 | |
| 6 | 2010 | 206 | |
| 7 | The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer Hit paper breakdown → | 2022 | 205 |
| 8 | 2015 | 136 | |
| 9 | 2008 | 123 | |
| 10 | 2011 | 97 | |
| 11 | 2012 | 85 | |
| 12 | 2014 | 82 | |
| 13 | 2011 | 77 | |
| 14 | 2018 | 74 | |
| 15 | 2018 | 66 | |
| 16 | 2017 | 58 | |
| 17 | 2012 | 58 | |
| 18 | 2018 | 52 | |
| 19 | 2020 | 51 | |
| 20 | 2013 | 50 |
About Feng Ye
Feng Ye is a scholar working on Molecular Biology, Oncology, Immunology and Allergy, Cancer Research and Pathology and Forensic Medicine, having authored 151 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (20 papers), Cancer Cells and Metastasis (8 papers), Platelet Disorders and Treatments (8 papers), MicroRNA in disease regulation (7 papers), Extracellular vesicles in disease (6 papers), Cellular Mechanics and Interactions (5 papers), Breast Cancer Treatment Studies (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Cell Biology (772 citations), Cancer Research (635 citations), Nephrology (290 citations) and Hematology (386 citations). Feng Ye has collaborated with scholars based in China, United States and Hong Kong. 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 Journal of Translational Medicine.
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.