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 20
- Circular RNAs in diseases 12
- Epigenetics and DNA Methylation 12
-
- MicroRNA in disease regulation 22
- Cancer-related molecular mechanisms research 19
- Co-authors
- Jun Chen (12 shared papers)Yanqin Gao (12 shared papers)Peiying Li (15 shared papers)Hua Xu (21 shared papers)Zhangqun Ye (22 shared papers)R. Anne Stetler (9 shared papers)Xiaoming Hu (9 shared papers)Weimin Yao (15 shared papers)
- Journals
- Oncotarget (6 papers)Cell Death and Disease (5 papers)Frontiers in Oncology (5 papers)International Journal of Biological Sciences (4 papers)Stroke (4 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yu Gan
170 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 1.4k
- Neurology 693
- Molecular Biology 2.7k
- Immunology 713
- Developmental Neuroscience 122
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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 243 | |
| 2 | 2010 | 235 | |
| 3 | 2006 | 225 | |
| 4 | 2015 | 176 | |
| 5 | 2014 | 167 | |
| 6 | 2014 | 166 | |
| 7 | 2014 | 153 | |
| 8 | 2022 | 121 | |
| 9 | 2022 | 112 | |
| 10 | 2014 | 110 | |
| 11 | 2012 | 100 | |
| 12 | 2014 | 94 | |
| 13 | 2014 | 92 | |
| 14 | 2015 | 92 | |
| 15 | 2019 | 83 | |
| 16 | 2016 | 81 | |
| 17 | 2012 | 81 | |
| 18 | 2017 | 77 | |
| 19 | 2014 | 74 | |
| 20 | 2012 | 72 |
About Yu Gan
Yu Gan is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 176 papers that have together received 5.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), RNA modifications and cancer (20 papers), Hepatitis B Virus Studies (19 papers), Cancer-related molecular mechanisms research (19 papers), Liver Disease Diagnosis and Treatment (14 papers), Hepatitis C virus research (14 papers), Circular RNAs in diseases (12 papers) and Epigenetics and DNA Methylation (12 papers). The work is most often cited by research in Cancer Research (1.4k citations), Neurology (693 citations), Molecular Biology (2.7k citations), Immunology (713 citations) and Developmental Neuroscience (122 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, Zhangqun Ye, R. Anne Stetler, Xiaoming Hu, Weimin Yao, Heng Li and Wei Xiao. Their work appears in journals such as Oncotarget, Cell Death and Disease, Frontiers in Oncology, International Journal of Biological Sciences and Stroke.
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.