Feng Ye
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Circular RNAs in diseases 7
- RNA Research and Splicing 6
- RNA modifications and cancer 6
-
- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 16
- Breast Cancer Treatment Studies 9
- Co-authors
- Xing Xie (18 shared papers)Weiguo Lü (16 shared papers)Hailin Tang (13 shared papers)Xiaoyun Wan (5 shared papers)Xiaoming Xie (10 shared papers)Yuanming Shen (4 shared papers)Q. Richard Lu (2 shared papers)Fenfen Wang (4 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Oncotarget (5 papers)International Journal of Gynecological Cancer (4 papers)PLoS ONE (3 papers)European Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Feng Ye
119 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 1.6k
- Developmental Neuroscience 306
- Structural Biology 46
- Molecular Biology 2.0k
- Oncology 517
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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 403 | |
| 2 | 2009 | 261 | |
| 3 | 2011 | 177 | |
| 4 | 2011 | 170 | |
| 5 | 2013 | 144 | |
| 6 | 2022 | 143 | |
| 7 | 2015 | 120 | |
| 8 | 2016 | 112 | |
| 9 | 2008 | 104 | |
| 10 | 2022 | 90 | |
| 11 | 2010 | 90 | |
| 12 | 2011 | 90 | |
| 13 | 2016 | 81 | |
| 14 | 2015 | 81 | |
| 15 | 2014 | 66 | |
| 16 | 2024 | 65 | |
| 17 | 2011 | 60 | |
| 18 | 2012 | 60 | |
| 19 | 2014 | 56 | |
| 20 | 2016 | 54 |
About Feng Ye
Feng Ye is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 124 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (16 papers), Breast Cancer Treatment Studies (9 papers), Gastric Cancer Management and Outcomes (9 papers), Lung Cancer Treatments and Mutations (7 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (1.6k citations), Developmental Neuroscience (306 citations), Structural Biology (46 citations), Molecular Biology (2.0k citations) and Oncology (517 citations). Feng Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xing Xie, Weiguo Lü, Hailin Tang, Xiaoyun Wan, Xiaoming Xie, Yuanming Shen, Q. Richard Lu, Fenfen Wang, Xinhua Xie and Jiansong Zhou. Their work appears in journals such as Journal of Clinical Oncology, Oncotarget, International Journal of Gynecological Cancer, PLoS ONE and European Journal of 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.