Jun Xue
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Genomics, phytochemicals, and oxidative stress 3
- Glutathione Transferases and Polymorphisms 2
- TGF-β signaling in diseases 2
- Oncology 8
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Yunqiao Li (1 shared paper)Junfeng Liu (2 shared papers)Xiaoye Zhu (3 shared papers)Likun Wang (4 shared papers)George Y. Chen (1 shared paper)Fei Guo (1 shared paper)Xiefan Fang (1 shared paper)Tao Zhang (1 shared paper)
- Journals
- Artificial Organs (1 paper)BMJ Open (1 paper)Annals of Palliative Medicine (1 paper)Journal of Cellular Biochemistry (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Xue
22 papers receiving 267 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 89
- Hepatology 41
- Oncology 65
- Pharmacology 20
- Molecular Biology 150
Countries citing papers authored by Jun Xue
This map shows the geographic impact of Jun Xue'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 Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xue more than expected).
Fields of papers citing papers by Jun Xue
This network shows the impact of papers produced by Jun Xue. 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 Xue. The network helps show where Jun Xue may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xue, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 44 | |
| 2 | 2018 | 35 | |
| 3 | MicroRNA-206, down-regulated in hepatocellular carcinoma, suppresses cell proliferation and promotes apoptosis. | 2014 | 31 |
| 4 | 2020 | 27 | |
| 5 | 2013 | 25 | |
| 6 | 2021 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2010 | 10 | |
| 10 | 2014 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2013 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2011 | 2 |
About Jun Xue
Jun Xue is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Cell Biology, having authored 26 papers that have together received 268 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Caveolin-1 and cellular processes (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Cancer, Lipids, and Metabolism (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (89 citations), Hepatology (41 citations), Oncology (65 citations), Pharmacology (20 citations) and Molecular Biology (150 citations). Jun Xue has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yunqiao Li, Junfeng Liu, Xiaoye Zhu, Likun Wang, George Y. Chen, Fei Guo, Xiefan Fang, Tao Zhang, Jianli Hu and Chenyu Wang. Their work appears in journals such as Artificial Organs, BMJ Open, Annals of Palliative Medicine, Journal of Cellular Biochemistry 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.