Ke Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Immunology top 10%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- Metabolism, Diabetes, and Cancer 4
-
- MicroRNA in disease regulation 4
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Lei Wei (10 shared papers)Pengchao Hu (8 shared papers)Fang Yang (4 shared papers)Zhigang Zhang (6 shared papers)Chenghui Yang (6 shared papers)Cheng Chen (2 shared papers)Zhihao Zhang (2 shared papers)Junli Li (3 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Acta Pharmacologica Sinica (3 papers)International Journal of Molecular Medicine (2 papers)Frontiers in Public Health (2 papers)Advanced Functional Materials (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ke Su
80 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 272
- Immunology 229
- Nephrology 58
- Molecular Biology 506
- Oncology 168
Countries citing papers authored by Ke Su
This map shows the geographic impact of Ke Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Su more than expected).
Fields of papers citing papers by Ke Su
This network shows the impact of papers produced by Ke Su. 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 Su. The network helps show where Ke Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Su, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 123 | |
| 2 | 2020 | 93 | |
| 3 | 2018 | 82 | |
| 4 | 2020 | 59 | |
| 5 | 2011 | 52 | |
| 6 | 2014 | 42 | |
| 7 | 2019 | 39 | |
| 8 | A novel positive feedback regulation between long noncoding RNA UICC and IL-6/STAT3 signaling promotes cervical cancer progression. | 2018 | 39 |
| 9 | 2017 | 37 | |
| 10 | 2022 | 36 | |
| 11 | 2012 | 33 | |
| 12 | 2019 | 33 | |
| 13 | 2016 | 32 | |
| 14 | 2013 | 29 | |
| 15 | 2016 | 29 | |
| 16 | 2024 | 28 | |
| 17 | 2021 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2022 | 24 | |
| 20 | 2017 | 23 |
About Ke Su
Ke Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Renewable Energy, Sustainability and the Environment, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Advanced Photocatalysis Techniques (4 papers), Metabolism, Diabetes, and Cancer (4 papers), MicroRNA in disease regulation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Diabetes Treatment and Management (4 papers), Perovskite Materials and Applications (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (272 citations), Immunology (229 citations), Nephrology (58 citations), Molecular Biology (506 citations) and Oncology (168 citations). Ke Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei Wei, Pengchao Hu, Fang Yang, Zhigang Zhang, Chenghui Yang, Cheng Chen, Zhihao Zhang, Junli Li, Tian Xia and Lili Li. Their work appears in journals such as Frontiers in Immunology, Acta Pharmacologica Sinica, International Journal of Molecular Medicine, Frontiers in Public Health and Advanced Functional Materials.
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.