Ke Sai
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 34
- Glioma Diagnosis and Treatment 34
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- RNA Research and Splicing 4
- Co-authors
- Zhong-Ping Chen (17 shared papers)Ho‐Keung Ng (2 shared papers)Fu‐Rong Chen (5 shared papers)Xiaobing Jiang (14 shared papers)Jie Wang (3 shared papers)Yonggao Mou (17 shared papers)Jesse Chung‐Sean Pang (1 shared paper)Jing Zeng (11 shared papers)
- Journals
- Journal of Neuro-Oncology (5 papers)BMC Cancer (5 papers)Oncotarget (2 papers)World Journal of Surgical Oncology (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ke Sai
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Genetics 342
- Cancer Research 359
- Oncology 281
- Molecular Biology 574
- Pulmonary and Respiratory Medicine 231
Countries citing papers authored by Ke Sai
This map shows the geographic impact of Ke Sai'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 Sai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Sai more than expected).
Fields of papers citing papers by Ke Sai
This network shows the impact of papers produced by Ke Sai. 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 Sai. The network helps show where Ke Sai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Sai, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 123 | |
| 2 | 2015 | 60 | |
| 3 | 2013 | 59 | |
| 4 | 2012 | 58 | |
| 5 | 2013 | 57 | |
| 6 | 2019 | 50 | |
| 7 | 2014 | 47 | |
| 8 | 2012 | 39 | |
| 9 | 2020 | 35 | |
| 10 | 2019 | 33 | |
| 11 | 2014 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 2019 | 31 | |
| 14 | IL13RA2 is overexpressed in malignant gliomas and related to clinical outcome of patients. | 2020 | 30 |
| 15 | 2015 | 28 | |
| 16 | 2017 | 28 | |
| 17 | 2014 | 28 | |
| 18 | 2010 | 27 | |
| 19 | 2016 | 27 | |
| 20 | 2011 | 24 |
About Ke Sai
Ke Sai is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (34 papers), Brain Metastases and Treatment (13 papers), Meningioma and schwannoma management (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Immune cells in cancer (5 papers), Lung Cancer Research Studies (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (342 citations), Cancer Research (359 citations), Oncology (281 citations), Molecular Biology (574 citations) and Pulmonary and Respiratory Medicine (231 citations). Ke Sai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhong-Ping Chen, Ho‐Keung Ng, Fu‐Rong Chen, Xiaobing Jiang, Jie Wang, Yonggao Mou, Jesse Chung‐Sean Pang, Jing Zeng, Chengcheng Guo and Zhongping Chen. Their work appears in journals such as Journal of Neuro-Oncology, BMC Cancer, Oncotarget, World Journal of Surgical Oncology and Neuro-Oncology.
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.