Chao Ge
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 2%
- Liver physiology and pathology
Papers in
-
- Ubiquitin and proteasome pathways 10
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 5
- TGF-β signaling in diseases 5
- Oncology 27
- Cancer Cells and Metastasis 10
- Co-authors
- Jinjun Li (58 shared papers)Ming Yao (44 shared papers)Taoyang Chen (40 shared papers)Fangyu Zhao (41 shared papers)Mingxia Yan (8 shared papers)Jianren Gu (9 shared papers)Hong Li (31 shared papers)Hua Tian (35 shared papers)
- Journals
- Hepatology (7 papers)Cancer Letters (5 papers)Oncotarget (4 papers)Cancer Research (4 papers)Journal of Experimental & Clinical Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Chao Ge
85 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 1.4k
- Hepatology 325
- Oncology 1.0k
- Molecular Biology 2.1k
- Ecological Modeling 73
Countries citing papers authored by Chao Ge
This map shows the geographic impact of Chao Ge'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 Chao Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Ge more than expected).
Fields of papers citing papers by Chao Ge
This network shows the impact of papers produced by Chao Ge. 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 Chao Ge. The network helps show where Chao Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Ge, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 467 | |
| 2 | 2009 | 366 | |
| 3 | 2010 | 261 | |
| 4 | 2009 | 186 | |
| 5 | 2011 | 151 | |
| 6 | 2010 | 150 | |
| 7 | 2013 | 115 | |
| 8 | 2014 | 111 | |
| 9 | 2011 | 105 | |
| 10 | 2011 | 104 | |
| 11 | 2012 | 82 | |
| 12 | 2019 | 80 | |
| 13 | 2020 | 77 | |
| 14 | 2011 | 61 | |
| 15 | 2013 | 60 | |
| 16 | 2013 | 57 | |
| 17 | 2019 | 56 | |
| 18 | 2018 | 55 | |
| 19 | 2013 | 52 | |
| 20 | 2012 | 50 |
About Chao Ge
Chao Ge is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 3.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Cancer Cells and Metastasis (10 papers), RNA modifications and cancer (10 papers), Cancer, Hypoxia, and Metabolism (8 papers), Advanced Radiotherapy Techniques (7 papers), MicroRNA in disease regulation (6 papers), Epigenetics and DNA Methylation (5 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Cancer Research (1.4k citations), Hepatology (325 citations), Oncology (1.0k citations), Molecular Biology (2.1k citations) and Ecological Modeling (73 citations). Chao Ge has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Jinjun Li, Ming Yao, Taoyang Chen, Fangyu Zhao, Mingxia Yan, Jianren Gu, Hong Li, Hua Tian, Xianghuo He and Haiyang Xie. Their work appears in journals such as Hepatology, Cancer Letters, Oncotarget, Cancer Research and Journal of Experimental & Clinical Cancer Research.
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.