Ke Hui
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- Kruppel-like factors research
- Epigenetics and DNA Methylation
Papers in
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- Kruppel-like factors research 2
-
- Prostate Cancer Treatment and Research 4
- Renal cell carcinoma treatment 2
- Co-authors
- Kaijie Wu (11 shared papers)Dalin He (12 shared papers)Xinyang Wang (9 shared papers)Jer‐Tsong Hsieh (7 shared papers)Jinhai Fan (7 shared papers)Bin Wang (5 shared papers)Shiqi Wu (7 shared papers)Jun Huang (5 shared papers)
- Journals
- Cell Death and Disease (3 papers)Cellular Signalling (3 papers)Oncology Reports (2 papers)The Journal of Urology (2 papers)Archives of Medical Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ke Hui
21 papers receiving 445 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 160
- Molecular Biology 315
- Genetics 40
- Cell Biology 50
- Oncology 77
Countries citing papers authored by Ke Hui
This map shows the geographic impact of Ke Hui'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 Ke Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Hui more than expected).
Fields of papers citing papers by Ke Hui
This network shows the impact of papers produced by Ke Hui. 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 Ke Hui. The network helps show where Ke Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Hui, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 111 | |
| 2 | 2015 | 46 | |
| 3 | 2018 | 41 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 35 | |
| 6 | 2015 | 29 | |
| 7 | 2020 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2016 | 19 | |
| 10 | 2018 | 19 | |
| 11 | 2019 | 15 | |
| 12 | 2025 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2017 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 1 |
About Ke Hui
Ke Hui is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 21 papers that have together received 451 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Cancer Cells and Metastasis (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Kruppel-like factors research (2 papers), Renal cell carcinoma treatment (2 papers), Hand Gesture Recognition Systems (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Cancer Research (160 citations), Molecular Biology (315 citations), Genetics (40 citations), Cell Biology (50 citations) and Oncology (77 citations). Ke Hui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kaijie Wu, Dalin He, Xinyang Wang, Jer‐Tsong Hsieh, Jinhai Fan, Bin Wang, Shiqi Wu, Jun Huang, Shan Xu and Yanan Gu. Their work appears in journals such as Cell Death and Disease, Cellular Signalling, Oncology Reports, The Journal of Urology and Archives of Medical 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.