Kang Li
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 19
- Cancer, Lipids, and Metabolism 13
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 25
- Epigenetics and DNA Methylation 18
- RNA modifications and cancer 15
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment 14
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 26
- Obstetrics and Gynecology top 5%
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- Ferroptosis and cancer prognosis 19
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kang Li
196 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 169
- Cancer Research 1.5k
- Molecular Biology 2.6k
- Reproductive Medicine 252
- Oncology 770
- Obstetrics and Gynecology 150
Countries citing papers authored by Kang Li
This map shows the geographic impact of Kang 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 Kang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Li more than expected).
Fields of papers citing papers by Kang Li
This network shows the impact of papers produced by Kang 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 Kang Li. The network helps show where Kang Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 46 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 23 | |
| 12 | {CIPHERLEAKS}: Breaking Constant-time Cryptography on {AMD} {SEV} via the Ciphertext Side Channel | 2021 | 12 |
| 13 | 2021 | 88 | |
| 14 | 2021 | 6 | |
| 15 | 2019 | 9 | |
| 16 | 2014 | 21 | |
| 17 | 2014 | 40 | |
| 18 | 2013 | 32 | |
| 19 | Evaluation of cinobutacini injection in the adjuvant treatment of patients with advanced no-small-cell lung cancer | 2013 | 2 |
| 20 | Comparative study of relatively long-term therapy for dyslipidemia with low-dosage Xue-zhi-kang or Pravastatin in Chinese patients | 1999 | 1 |
About Kang Li
Kang Li is a scholar working on Cancer Research, Reproductive Medicine and Oncology, having authored 211 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (26 papers), Metabolomics and Mass Spectrometry Studies (25 papers), Ferroptosis and cancer prognosis (19 papers), Cancer-related molecular mechanisms research (19 papers), Epigenetics and DNA Methylation (18 papers), RNA modifications and cancer (15 papers), Ovarian cancer diagnosis and treatment (14 papers) and Cancer, Lipids, and Metabolism (13 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.6k citations) and Reproductive Medicine (252 citations). Kang Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Hou, Zhenzi Li, Chaofu Ke, Kui Deng, Kai Yang, Ge Lou, Xiao‐Hua Zhou, Lijun Fan, Haiyu Zhang and Chunyan Yang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.