Ke Hui
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Kruppel-like factors research
- Cancer-related gene regulation
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
-
- Kruppel-like factors research 2
- Cancer-related gene regulation 2
-
- Cancer, Hypoxia, and Metabolism 3
- 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)Shiqi Wu (7 shared papers)Bin Wang (5 shared papers)Jun Huang (5 shared papers)
- Journals
- Cell Death and Disease (3 papers)Cellular Signalling (3 papers)The Journal of Urology (2 papers)Oncology Reports (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ke Hui
21 papers receiving 458 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 138
- Molecular Biology 283
- Genetics 37
- Cell Biology 51
- Oncology 65
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 | 48 | |
| 3 | 2018 | 42 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 35 | |
| 6 | 2015 | 29 | |
| 7 | 2020 | 25 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2025 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2017 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2024 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 1 |
About Ke Hui
Ke Hui is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 21 papers that have together received 465 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Renal cell carcinoma treatment (2 papers), Human Pose and Action Recognition (2 papers), Kruppel-like factors research (2 papers), Cancer-related gene regulation (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Cancer Research (138 citations), Molecular Biology (283 citations), Genetics (37 citations), Cell Biology (51 citations) and Oncology (65 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, Shiqi Wu, Bin Wang, Jun Huang, Shan Xu and Yanan Gu. Their work appears in journals such as Cell Death and Disease, Cellular Signalling, The Journal of Urology, Oncology Reports and Applied Intelligence.
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.