Kun Cai
Impact in
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- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
Papers in
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- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
- Retinoids in leukemia and cellular processes 1
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- Lymphoma Diagnosis and Treatment 1
- Co-authors
- Fumiaki Sato (3 shared papers)Yuriko Mori (3 shared papers)Stephen J. Meltzer (3 shared papers)Li Wang (1 shared paper)Feng Liu (1 shared paper)James P. Hamilton (2 shared papers)John Abraham (2 shared papers)Bogdan C. Paun (2 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (1 paper)Gastroenterology (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Biochemical and Biophysical Research Communications (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kun Cai
9 papers receiving 405 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 61
- Molecular Biology 232
- Oncology 79
- Pathology and Forensic Medicine 51
- Immunology 53
Countries citing papers authored by Kun Cai
This map shows the geographic impact of Kun Cai'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 Kun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Cai more than expected).
Fields of papers citing papers by Kun Cai
This network shows the impact of papers produced by Kun Cai. 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 Kun Cai. The network helps show where Kun Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Cai, 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 | 2006 | 155 | |
| 2 | 2021 | 150 | |
| 3 | 2006 | 39 | |
| 4 | 2008 | 22 | |
| 5 | 2006 | 22 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 3 | |
| 9 | Effect of Lepidium meyenii (Maca) Ethanol Extract on Endocrine Hormone Levels in Climacteric Rats | 2016 | 1 |
About Kun Cai
Kun Cai is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Infectious Diseases and Surgery, having authored 9 papers that have together received 410 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers), Estrogen and related hormone effects (1 paper), Hydraulic and Pneumatic Systems (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Vector-Borne Animal Diseases (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Flow Measurement and Analysis (1 paper). The work is most often cited by research in Cancer Research (61 citations), Molecular Biology (232 citations), Oncology (79 citations), Pathology and Forensic Medicine (51 citations) and Immunology (53 citations). Kun Cai has collaborated with scholars based in China, United States and France. Frequent co-authors include Fumiaki Sato, Yuriko Mori, Stephen J. Meltzer, Li Wang, Feng Liu, James P. Hamilton, John Abraham, Bogdan C. Paun, Jinyan Huang and Takatsugu Kan. Their work appears in journals such as Signal Transduction and Targeted Therapy, Gastroenterology, The International Journal of Biochemistry & Cell Biology, Biochemical and Biophysical Research Communications and International Journal of Cancer.
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.