Yan Cai
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- RNA modifications and cancer 4
- Oncology 7
- Cancer Cells and Metastasis 4
- Co-authors
- Jie Wu (6 shared papers)Shixiong Xu (7 shared papers)Quan Long (6 shared papers)Qiaoli Gu (1 shared paper)Qin Shi (1 shared paper)Chen Huang (1 shared paper)Huilin Yang (1 shared paper)Yongfen Qi (5 shared papers)
- Journals
- Applied Mathematics and Mechanics (5 papers)Regulatory Peptides (2 papers)Cardiovascular Research (2 papers)Peptides (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yan Cai
37 papers receiving 817 citations
Peers
Comparison fields: 5 of 99
- Modeling and Simulation 75
- Cancer Research 131
- Molecular Medicine 33
- Obstetrics and Gynecology 39
- Molecular Biology 376
Countries citing papers authored by Yan Cai
This map shows the geographic impact of Yan 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 Yan Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Cai more than expected).
Fields of papers citing papers by Yan Cai
This network shows the impact of papers produced by Yan 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 Yan Cai. The network helps show where Yan Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2011 | 71 | |
| 3 | 2019 | 59 | |
| 4 | 2012 | 52 | |
| 5 | 2020 | 48 | |
| 6 | 2009 | 47 | |
| 7 | 2009 | 47 | |
| 8 | 2021 | 38 | |
| 9 | 2013 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2009 | 30 | |
| 12 | 2017 | 30 | |
| 13 | 2019 | 27 | |
| 14 | 2009 | 23 | |
| 15 | 2010 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2008 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2018 | 13 | |
| 20 | 2011 | 13 |
About Yan Cai
Yan Cai is a scholar working on Molecular Biology, Oncology, Modeling and Simulation, Cancer Research and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 826 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (7 papers), Neuropeptides and Animal Physiology (5 papers), Cancer Cells and Metastasis (4 papers), Angiogenesis and VEGF in Cancer (4 papers), RNA modifications and cancer (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Cancer Research (131 citations), Molecular Medicine (33 citations), Obstetrics and Gynecology (39 citations) and Molecular Biology (376 citations). Yan Cai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jie Wu, Shixiong Xu, Quan Long, Qiaoli Gu, Qin Shi, Chen Huang, Huilin Yang, Yongfen Qi, Hua Jin and Ming‐Jiang Xu. Their work appears in journals such as Applied Mathematics and Mechanics, Regulatory Peptides, Cardiovascular Research, Peptides and Journal of Cellular Physiology.
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.