SF Chen
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 12
- RNA Interference and Gene Delivery 7
- Heme Oxygenase-1 and Carbon Monoxide 5
-
- MicroRNA in disease regulation 6
- Co-authors
- Lianhua Yin (13 shared papers)Anupam Agarwal (11 shared papers)Xiuling Zhi (7 shared papers)Wenjun Yang (1 shared paper)Zhaohui Ni (1 shared paper)Dan Meng (16 shared papers)Zhouluo Ou (4 shared papers)Ning Sun (16 shared papers)
- Journals
- Stem Cell Research & Therapy (3 papers)Biochemical and Biophysical Research Communications (3 papers)Lipids in Health and Disease (3 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)IUBMB Life (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
SF Chen
95 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 144
- Physiology 334
- Cancer Research 734
- Molecular Biology 1.9k
- Gastroenterology 133
- Biochemistry 143
Countries citing papers authored by SF Chen
This map shows the geographic impact of SF Chen'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 SF Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SF Chen more than expected).
Fields of papers citing papers by SF Chen
This network shows the impact of papers produced by SF Chen. 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 SF Chen. The network helps show where SF Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside SF Chen, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 265 | |
| 2 | 2007 | 251 | |
| 3 | 2008 | 235 | |
| 4 | 2011 | 227 | |
| 5 | 2014 | 187 | |
| 6 | 2007 | 166 | |
| 7 | 2014 | 149 | |
| 8 | 2007 | 131 | |
| 9 | 2017 | 128 | |
| 10 | 2015 | 119 | |
| 11 | 2016 | 111 | |
| 12 | 2005 | 101 | |
| 13 | 2005 | 86 | |
| 14 | 1995 | 76 | |
| 15 | 2012 | 75 | |
| 16 | 2004 | 71 | |
| 17 | 2007 | 65 | |
| 18 | 2007 | 65 | |
| 19 | 2019 | 64 | |
| 20 | 2008 | 56 |
About SF Chen
SF Chen is a scholar working on Molecular Biology, Cancer Research, Physiology, Endocrine and Autonomic Systems and Surgery, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Nitric Oxide and Endothelin Effects (8 papers), RNA Interference and Gene Delivery (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Virus-based gene therapy research (6 papers), MicroRNA in disease regulation (6 papers), Circadian rhythm and melatonin (5 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). The work is most often cited by research in Physiology (334 citations), Cancer Research (734 citations), Molecular Biology (1.9k citations), Gastroenterology (133 citations) and Biochemistry (143 citations). SF Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lianhua Yin, Anupam Agarwal, Xiuling Zhi, Wenjun Yang, Zhaohui Ni, Dan Meng, Zhouluo Ou, Ning Sun, Ruizhe Qian and Li Wang. Their work appears in journals such as Stem Cell Research & Therapy, Biochemical and Biophysical Research Communications, Lipids in Health and Disease, American Journal of Physiology-Lung Cellular and Molecular Physiology and IUBMB Life.
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.