Feng Ye
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Nephrology top 2%
Papers in
-
- Cell Adhesion Molecules Research 20
- Oncology 24
- Cancer Cells and Metastasis 8
- 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)BMC Cancer (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Ye
190 papers receiving 5.4k citations
Feng Ye's Hit Papers
Peers
Comparison fields: 5 of 168
- Immunology and Allergy 1.2k
- Nephrology 355
- Cell Biology 797
- Cancer Research 657
- Hematology 420
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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 357 | |
| 2 | Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injury Hit paper breakdown → | 2019 | 331 |
| 3 | 2009 | 277 | |
| 4 | 2007 | 249 | |
| 5 | The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer Hit paper breakdown → | 2022 | 224 |
| 6 | 2017 | 220 | |
| 7 | 2010 | 217 | |
| 8 | 2015 | 139 | |
| 9 | 2008 | 132 | |
| 10 | 2011 | 105 | |
| 11 | 2012 | 92 | |
| 12 | 2014 | 89 | |
| 13 | 2011 | 81 | |
| 14 | 2018 | 76 | |
| 15 | 2018 | 67 | |
| 16 | 2012 | 62 | |
| 17 | 2017 | 59 | |
| 18 | 2018 | 56 | |
| 19 | 2020 | 55 | |
| 20 | 2013 | 51 |
About Feng Ye
Feng Ye is a scholar working on Immunology and Allergy, Oncology, Nephrology, Cancer Research and Molecular Biology, having authored 201 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (20 papers), Platelet Disorders and Treatments (8 papers), Cancer Cells and Metastasis (8 papers), Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (7 papers), Advanced Vision and Imaging (6 papers), AI in cancer detection (5 papers) and Cellular Mechanics and Interactions (5 papers). The work is most often cited by research in Immunology and Allergy (1.2k citations), Nephrology (355 citations), Cell Biology (797 citations), Cancer Research (657 citations) and Hematology (420 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, BMC Cancer and Cell Death and Disease.
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.