Chen‐Leng Cai
Impact in
- Molecular Biology top 1%
- Congenital heart defects research
- Pluripotent Stem Cells Research
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- Genetics top 2%
Papers in
- Urology 5
-
- Congenital heart defects research 36
- Renal and related cancers 7
- Developmental Biology and Gene Regulation 6
- Pluripotent Stem Cells Research 5
- Journals
- Developmental Biology (8 papers)Development (7 papers)Nature Communications (5 papers)Nature (3 papers)Circulation (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Chen‐Leng Cai
54 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 5.3k
- Genetics 533
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 2.1k
- Hematology 359
Countries citing papers authored by Chen‐Leng Cai
This map shows the geographic impact of Chen‐Leng 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 Chen‐Leng Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Leng Cai more than expected).
Fields of papers citing papers by Chen‐Leng Cai
This network shows the impact of papers produced by Chen‐Leng 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 Chen‐Leng Cai. The network helps show where Chen‐Leng Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chen‐Leng 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 | 2025 | 0 | |
| 2 | 2022 | 28 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 32 | |
| 5 | 2019 | 24 | |
| 6 | 2018 | 10 | |
| 7 | 2018 | 27 | |
| 8 | REST regulates the cell cycle for cardiac development and regeneration | 2017 | 2 |
| 9 | 2014 | 25 | |
| 10 | 2014 | 59 | |
| 11 | 2014 | 14 | |
| 12 | 2014 | 24 | |
| 13 | 2011 | 46 | |
| 14 | A myocardial lineage derives from Tbx18 epicardial cells Hit paper breakdown → | 2008 | 599 |
| 15 | 2006 | 199 | |
| 16 | 2006 | 96 | |
| 17 | 2006 | 76 | |
| 18 | Isl1 Identifies a Cardiac Progenitor Population that Proliferates Prior to Differentiation and Contributes a Majority of Cells to the Heart Hit paper breakdown → | 2003 | 1222 |
| 19 | 2000 | 50 | |
| 20 | 2000 | 131 |
About Chen‐Leng Cai
Chen‐Leng Cai is a scholar working on Urology, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Cell Biology, having authored 56 papers that have together received 6.4k indexed citations. Recurring topics across this work include Congenital heart defects research (36 papers), Tissue Engineering and Regenerative Medicine (13 papers), Renal and related cancers (7 papers), Congenital Heart Disease Studies (7 papers), Developmental Biology and Gene Regulation (6 papers), Pluripotent Stem Cells Research (5 papers), Cardiac Fibrosis and Remodeling (5 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Genetics (533 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Surgery (2.1k citations) and Hematology (359 citations). Chen‐Leng Cai has collaborated with scholars based in United States, China and France. Frequent co-authors include Sylvia Μ. Evans, Ju Chen, Xingqun Liang, Yunqing Shi, Samuel L. Pfaff, Xiaoqiang Cai, Lei Bu, Lei Yang, Mingjiang Xu and Xiaoxue Zhang. Their work appears in journals such as Developmental Biology, Development, Nature Communications, Nature and Circulation.
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.