Jun Gao
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
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- Hedgehog Signaling Pathway Studies 14
- Epigenetics and DNA Methylation 10
- Circular RNAs in diseases 9
- RNA modifications and cancer 6
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- MicroRNA in disease regulation 20
- Cancer-related molecular mechanisms research 12
- Co-authors
- Yan-fang Gong (19 shared papers)Yiqi Du (12 shared papers)Xiangyu Kong (6 shared papers)Zhaoshen Li (10 shared papers)Peng Du (5 shared papers)Zhaoshen Li (3 shared papers)Zhao‐Shen Li (15 shared papers)Jianqiang Liu (3 shared papers)
- Journals
- Pancreas (5 papers)Oncology Reports (4 papers)Tumor Biology (4 papers)International Journal of Cancer (4 papers)Gene Therapy (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Gao
130 papers receiving 3.9k citations
Jun Gao's Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 1.1k
- Oncology 1.0k
- Molecular Biology 2.0k
- Immunology 477
- Hepatology 114
Countries citing papers authored by Jun Gao
This map shows the geographic impact of Jun Gao'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 Jun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gao more than expected).
Fields of papers citing papers by Jun Gao
This network shows the impact of papers produced by Jun Gao. 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 Jun Gao. The network helps show where Jun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Gao, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 244 | |
| 2 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 236 |
| 3 | 2011 | 143 | |
| 4 | 2010 | 134 | |
| 5 | 2008 | 131 | |
| 6 | 2018 | 125 | |
| 7 | 2015 | 113 | |
| 8 | 2012 | 107 | |
| 9 | 2017 | 98 | |
| 10 | 2011 | 89 | |
| 11 | 2019 | 89 | |
| 12 | 2013 | 86 | |
| 13 | 2012 | 67 | |
| 14 | 2017 | 61 | |
| 15 | 2015 | 57 | |
| 16 | 2013 | 57 | |
| 17 | 2007 | 54 | |
| 18 | 2013 | 51 | |
| 19 | 2016 | 50 | |
| 20 | 2017 | 48 |
About Jun Gao
Jun Gao is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Immunology, having authored 133 papers that have together received 4.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Hedgehog Signaling Pathway Studies (14 papers), Cancer-related molecular mechanisms research (12 papers), Epigenetics and DNA Methylation (10 papers), Pancreatic and Hepatic Oncology Research (10 papers), Circular RNAs in diseases (9 papers), Pancreatitis Pathology and Treatment (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.0k citations), Molecular Biology (2.0k citations), Immunology (477 citations) and Hepatology (114 citations). Jun Gao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yan-fang Gong, Yiqi Du, Xiangyu Kong, Zhaoshen Li, Peng Du, Zhaoshen Li, Zhao‐Shen Li, Jianqiang Liu, Junjun Gu and Lisha Qi. Their work appears in journals such as Pancreas, Oncology Reports, Tumor Biology, International Journal of Cancer and Gene Therapy.
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.