Yu Gan
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- RNA modifications and cancer 15
- Circular RNAs in diseases 8
- Ubiquitin and proteasome pathways 7
-
- MicroRNA in disease regulation 18
- Cancer-related molecular mechanisms research 9
- Co-authors
- Jun Chen (14 shared papers)Yanqin Gao (12 shared papers)Peiying Li (18 shared papers)Hua Xu (21 shared papers)R. Anne Stetler (10 shared papers)Xiaoming Hu (11 shared papers)Zhangqun Ye (22 shared papers)Weimin Yao (15 shared papers)
- Journals
- Oncotarget (6 papers)Frontiers in Oncology (5 papers)Cell Death and Disease (5 papers)Stroke (4 papers)International Journal of Biological Sciences (4 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yu Gan
175 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 1.2k
- Neurology 669
- Molecular Biology 2.4k
- Immunology 667
- Developmental Neuroscience 114
Countries citing papers authored by Yu Gan
This map shows the geographic impact of Yu Gan'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 Yu Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gan more than expected).
Fields of papers citing papers by Yu Gan
This network shows the impact of papers produced by Yu Gan. 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 Yu Gan. The network helps show where Yu Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Gan, 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 257 | |
| 2 | 2010 | 256 | |
| 3 | 2006 | 241 | |
| 4 | 2015 | 178 | |
| 5 | 2014 | 175 | |
| 6 | 2014 | 170 | |
| 7 | 2014 | 161 | |
| 8 | 2022 | 141 | |
| 9 | 2022 | 125 | |
| 10 | 2014 | 117 | |
| 11 | 2012 | 102 | |
| 12 | 2014 | 96 | |
| 13 | 2015 | 96 | |
| 14 | 2014 | 95 | |
| 15 | 2016 | 83 | |
| 16 | 2019 | 83 | |
| 17 | 2012 | 82 | |
| 18 | 2017 | 79 | |
| 19 | 2017 | 78 | |
| 20 | 2014 | 76 |
About Yu Gan
Yu Gan is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 181 papers that have together received 5.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), RNA modifications and cancer (15 papers), Hepatitis B Virus Studies (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Cancer-related molecular mechanisms research (9 papers), Hepatitis C virus research (8 papers), Circular RNAs in diseases (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Neurology (669 citations), Molecular Biology (2.4k citations), Immunology (667 citations) and Developmental Neuroscience (114 citations). Yu Gan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jun Chen, Yanqin Gao, Peiying Li, Hua Xu, R. Anne Stetler, Xiaoming Hu, Zhangqun Ye, Weimin Yao, Heng Li and Wei Xiao. Their work appears in journals such as Oncotarget, Frontiers in Oncology, Cell Death and Disease, Stroke and International Journal of Biological Sciences.
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.