Bin Ke
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 3
- Angiogenesis and VEGF in Cancer 2
-
- Dietary Effects on Health 5
- Co-authors
- Lin Shi (11 shared papers)Yuanyuan Huang (4 shared papers)Jian Qin (13 shared papers)Shaobing Chen (4 shared papers)Lin Zhuo (4 shared papers)Siyun Wang (3 shared papers)Bei Zhang (3 shared papers)Okezie I. Aruoma (6 shared papers)
- Journals
- International Journal of Molecular Medicine (3 papers)BMC Cancer (2 papers)Chinese Journal of Integrative Medicine (2 papers)The Journal of Gene Medicine (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Bin Ke
46 papers receiving 759 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 153
- Complementary and alternative medicine 51
- Molecular Biology 348
- Oncology 103
- Physiology 79
Countries citing papers authored by Bin Ke
This map shows the geographic impact of Bin Ke'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 Bin Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ke more than expected).
Fields of papers citing papers by Bin Ke
This network shows the impact of papers produced by Bin Ke. 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 Bin Ke. The network helps show where Bin Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ke, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 128 | |
| 2 | 2017 | 46 | |
| 3 | 2018 | 45 | |
| 4 | Astragalus polysaccharides attenuates TNF-α-induced insulin resistance via suppression of miR-721 and activation of PPAR-γ and PI3K/AKT in 3T3-L1 adipocytes. | 2017 | 37 |
| 5 | 2002 | 35 | |
| 6 | 2018 | 32 | |
| 7 | 2014 | 29 | |
| 8 | 2004 | 28 | |
| 9 | 2002 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2004 | 22 | |
| 12 | 2016 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2002 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2008 | 17 | |
| 17 | 2012 | 17 | |
| 18 | 2006 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2005 | 15 |
About Bin Ke
Bin Ke is a scholar working on Molecular Biology, Physiology, Aquatic Science, Oncology and Complementary and alternative medicine, having authored 50 papers that have together received 783 indexed citations. Recurring topics across this work include Dietary Effects on Health (5 papers), Seaweed-derived Bioactive Compounds (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Papaya Research and Applications (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (153 citations), Complementary and alternative medicine (51 citations), Molecular Biology (348 citations), Oncology (103 citations) and Physiology (79 citations). Bin Ke has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Lin Shi, Yuanyuan Huang, Jian Qin, Shaobing Chen, Lin Zhuo, Siyun Wang, Bei Zhang, Okezie I. Aruoma, Weiliang Zhu and Yingjuan Huang. Their work appears in journals such as International Journal of Molecular Medicine, BMC Cancer, Chinese Journal of Integrative Medicine, The Journal of Gene Medicine and PeerJ.
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.