Ke Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- RNA modifications and cancer 5
- Oncology 27
- Cancer Cells and Metastasis 6
- Pancreatic and Hepatic Oncology Research 5
- Lymphatic System and Diseases 3
- Co-authors
- Dandan Dong (4 shared papers)Shang-mian Yie (2 shared papers)Hong Yang (2 shared papers)Xinmei Lin (1 shared paper)Yangying Liao (4 shared papers)Xiaopeng Xu (2 shared papers)Hua Tang (2 shared papers)Meng Wu (2 shared papers)
- Journals
- Scientific Reports (2 papers)PLoS ONE (2 papers)Oncotarget (2 papers)Heliyon (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ke Li
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Cancer Research 191
- Oncology 306
- Immunology 229
- Rehabilitation 53
- Reproductive Medicine 56
Countries citing papers authored by Ke Li
This map shows the geographic impact of Ke Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Li more than expected).
Fields of papers citing papers by Ke Li
This network shows the impact of papers produced by Ke Li. 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 Li. The network helps show where Ke Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Li, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 138 | |
| 2 | 2017 | 136 | |
| 3 | 2013 | 66 | |
| 4 | 2014 | 60 | |
| 5 | 2016 | 59 | |
| 6 | 2015 | 57 | |
| 7 | 2010 | 47 | |
| 8 | 2021 | 37 | |
| 9 | 2019 | 32 | |
| 10 | 2011 | 29 | |
| 11 | 2022 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2013 | 28 | |
| 14 | 2010 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2018 | 25 | |
| 17 | 2014 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2015 | 22 | |
| 20 | 2019 | 21 |
About Ke Li
Ke Li is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), RNA modifications and cancer (5 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Lymphatic System and Diseases (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (191 citations), Oncology (306 citations), Immunology (229 citations), Rehabilitation (53 citations) and Reproductive Medicine (56 citations). Ke Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Dandan Dong, Shang-mian Yie, Hong Yang, Xinmei Lin, Yangying Liao, Xiaopeng Xu, Hua Tang, Meng Wu, Lan Li and Xin Liu. Their work appears in journals such as Scientific Reports, PLoS ONE, Oncotarget, Heliyon and Journal of Clinical 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.