Feng Cao
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Geriatrics and Gerontology top 1%
Papers in
- Genetics 33
- Mesenchymal stem cell research 30
- Co-authors
- Yabin WangJoseph C. WuSai MaXiaoyan XieYundai ChenDong HanRobert C. RobbinsAndrew J. Connolly
- Journals
- PLoS ONE (9 papers)Theranostics (7 papers)Oxidative Medicine and Cellular Longevity (6 papers)Stem Cells (5 papers)Journal of Pineal Research (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Cao
266 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Genetics 1.3k
- Geriatrics and Gerontology 346
- Biomaterials 1.1k
- Molecular Biology 5.1k
- Cancer Research 977
Countries citing papers authored by Feng Cao
This map shows the geographic impact of Feng Cao'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 Feng Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cao more than expected).
Fields of papers citing papers by Feng Cao
This network shows the impact of papers produced by Feng Cao. 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 Feng Cao. The network helps show where Feng Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Cao, 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 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 49 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 43 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 193 | |
| 13 | 2012 | 15 | |
| 14 | [Beneficial effects of liver X receptor agonist on adipose-derived mesenchymal stem cells transplantation in mice with myocardial infarction]. | 2012 | 1 |
| 15 | MeDetect: domain entity annotation in biomedical references using linked open data | 2012 | 3 |
| 16 | 2009 | 47 | |
| 17 | 2007 | 13 | |
| 18 | 2007 | 97 | |
| 19 | 2007 | 44 | |
| 20 | High levels of E-/P-cadherin: correlation with decreased apical polarity of Na/K ATPase in bovine RPE cells in situ. | 2000 | 31 |
About Feng Cao
Feng Cao is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Surgery and Cancer Research, having authored 281 papers that have together received 11.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (30 papers), Pluripotent Stem Cells Research (23 papers), Tissue Engineering and Regenerative Medicine (22 papers), Cardiac Imaging and Diagnostics (19 papers), Coronary Interventions and Diagnostics (18 papers), Nanoplatforms for cancer theranostics (17 papers), CRISPR and Genetic Engineering (16 papers) and Cardiac Ischemia and Reperfusion (12 papers). The work is most often cited by research in Genetics (1.3k citations), Geriatrics and Gerontology (346 citations), Biomaterials (1.1k citations), Molecular Biology (5.1k citations) and Cancer Research (977 citations). Feng Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yabin Wang, Joseph C. Wu, Sai Ma, Xiaoyan Xie, Yundai Chen, Dong Han, Robert C. Robbins, Andrew J. Connolly, Jiangwei Chen and Pingjun Zhu. Their work appears in journals such as PLoS ONE, Theranostics, Oxidative Medicine and Cellular Longevity, Stem Cells and Journal of Pineal Research.
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.