Fenyong Sun
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Ubiquitin and proteasome pathways 17
- RNA modifications and cancer 11
- RNA Research and Splicing 7
- DNA Repair Mechanisms 6
- Glycosylation and Glycoproteins Research 6
- Cell Biology 22
- Hippo pathway signaling and YAP/TAZ 19
- Co-authors
- Qiuhui Pan (29 shared papers)Jiayi Wang (33 shared papers)Yongxia Qiao (23 shared papers)Guo‐Qing Zhu (14 shared papers)Lifang Ma (13 shared papers)Yongchun Yu (12 shared papers)Qi Wu (11 shared papers)Wenhao Weng (10 shared papers)
- Journals
- Cellular Signalling (7 papers)Biochemical and Biophysical Research Communications (7 papers)Cell Death and Disease (4 papers)Oncotarget (3 papers)Oncology Reports (3 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Fenyong Sun
73 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 963
- Cell Biology 582
- Molecular Biology 1.9k
- Biochemistry 127
- Immunology 271
Countries citing papers authored by Fenyong Sun
This map shows the geographic impact of Fenyong Sun'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 Fenyong Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenyong Sun more than expected).
Fields of papers citing papers by Fenyong Sun
This network shows the impact of papers produced by Fenyong Sun. 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 Fenyong Sun. The network helps show where Fenyong Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Fenyong Sun, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 205 | |
| 2 | 2018 | 189 | |
| 3 | 2019 | 139 | |
| 4 | 2013 | 120 | |
| 5 | 2014 | 102 | |
| 6 | 2009 | 97 | |
| 7 | 2021 | 94 | |
| 8 | 2014 | 84 | |
| 9 | 2019 | 81 | |
| 10 | 2019 | 79 | |
| 11 | 2019 | 75 | |
| 12 | 2013 | 69 | |
| 13 | 2009 | 59 | |
| 14 | 2016 | 54 | |
| 15 | 2015 | 50 | |
| 16 | 2014 | 49 | |
| 17 | 2017 | 44 | |
| 18 | 2013 | 39 | |
| 19 | 2013 | 38 | |
| 20 | 2016 | 38 |
About Fenyong Sun
Fenyong Sun is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Biochemistry, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (19 papers), Ubiquitin and proteasome pathways (17 papers), RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers), Lipid metabolism and biosynthesis (9 papers), RNA Research and Splicing (7 papers), DNA Repair Mechanisms (6 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Cancer Research (963 citations), Cell Biology (582 citations), Molecular Biology (1.9k citations), Biochemistry (127 citations) and Immunology (271 citations). Fenyong Sun has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Qiuhui Pan, Jiayi Wang, Yongxia Qiao, Guo‐Qing Zhu, Lifang Ma, Yongchun Yu, Qi Wu, Wenhao Weng, Yongchun Yu and Xiao Zhang. Their work appears in journals such as Cellular Signalling, Biochemical and Biophysical Research Communications, Cell Death and Disease, Oncotarget and Oncology Reports.
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.