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
-
- MicroRNA in disease regulation 24
- Cancer-related molecular mechanisms research 16
- Oncology 37
- Pancreatic and Hepatic Oncology Research 18
- Journals
- Pancreas (5 papers)International Journal of Cancer (4 papers)Oncology Reports (4 papers)Tumor Biology (4 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Gao
129 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 1.3k
- Oncology 1.2k
- Molecular Biology 2.3k
- Immunology 541
- Hepatology 140
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 23 | |
| 4 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 209 |
| 5 | 2023 | 1 | |
| 6 | [Up-regulated expression of miR-576 inhibits ALK4 expression, regulates JAK/STAT signaling pathway and promotes proliferation and migration of prostatic cancer cells]. | 2022 | 1 |
| 7 | 2020 | 24 | |
| 8 | 2019 | 28 | |
| 9 | 2017 | 99 | |
| 10 | Correlation between macrophage infiltration and prognosis of ovarian cancer-a preliminary study. | 2016 | 17 |
| 11 | 2015 | 19 | |
| 12 | 2014 | 45 | |
| 13 | 2013 | 85 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 37 | |
| 17 | 2012 | 1 | |
| 18 | 2011 | 6 | |
| 19 | 2011 | 2 | |
| 20 | Antigen-expressed recombinant Salmonella typhimurium driven by an in vivo-activated promoter is capable of inducing cellular immune response in transgenic mice. | 2003 | 2 |
About Jun Gao
Jun Gao is a scholar working on Cancer Research, Oncology, Immunology, Molecular Biology and Biotechnology, having authored 132 papers that have together received 3.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (24 papers), Pancreatic and Hepatic Oncology Research (18 papers), Cancer-related molecular mechanisms research (16 papers), Hedgehog Signaling Pathway Studies (14 papers), Epigenetics and DNA Methylation (14 papers), Circular RNAs in diseases (13 papers), RNA modifications and cancer (11 papers) and Pancreatitis Pathology and Treatment (9 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.2k citations), Molecular Biology (2.3k citations), Immunology (541 citations) and Hepatology (140 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, Zhaoshen Li, Peng Du, Zhao‐Shen Li, Jianqiang Liu, Xue Leng and Junjun Gu. Their work appears in journals such as Pancreas, International Journal of Cancer, Oncology Reports, Tumor Biology and Journal of Cancer.
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.