Si Chen
Impact in
- Pharmaceutical Science top 5%
- Fluorine in Organic Chemistry
- Cancer Research top 10%
Papers in
-
- Phosphodiesterase function and regulation 8
-
- Drug-Induced Hepatotoxicity and Protection 4
- Cannabis and Cannabinoid Research 3
- Co-authors
- Yan Chen (13 shared papers)Lei Guo (9 shared papers)Yong-Min LIANG (6 shared papers)Paul Lee Huang (1 shared paper)Ching‐Hsuan Tung (1 shared paper)Ralph Weissleder (1 shared paper)Jennifer R. Allport (1 shared paper)Jiqiu Chen (1 shared paper)
- Journals
- Circulation (6 papers)Life Sciences (3 papers)Organic Letters (3 papers)Archives of Toxicology (3 papers)Toxicological Sciences (3 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Si Chen
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 125
- Pharmaceutical Science 90
- Cancer Research 185
- Molecular Biology 917
- Organic Chemistry 359
- Cardiology and Cardiovascular Medicine 256
Countries citing papers authored by Si Chen
This map shows the geographic impact of Si 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 Si Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Chen more than expected).
Fields of papers citing papers by Si Chen
This network shows the impact of papers produced by Si 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 Si Chen. The network helps show where Si Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Si 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 186 | |
| 2 | 2012 | 175 | |
| 3 | 2016 | 118 | |
| 4 | 2016 | 80 | |
| 5 | 2017 | 77 | |
| 6 | 2016 | 73 | |
| 7 | 2019 | 70 | |
| 8 | 2011 | 56 | |
| 9 | 2014 | 54 | |
| 10 | 2008 | 51 | |
| 11 | 2019 | 50 | |
| 12 | 2023 | 49 | |
| 13 | 2017 | 47 | |
| 14 | 2011 | 47 | |
| 15 | 2018 | 45 | |
| 16 | 2020 | 44 | |
| 17 | 2017 | 42 | |
| 18 | 2012 | 42 | |
| 19 | 2017 | 40 | |
| 20 | 2017 | 35 |
About Si Chen
Si Chen is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Cell Biology and Pharmaceutical Science, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (8 papers), Catalytic C–H Functionalization Methods (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Catalytic Cross-Coupling Reactions (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Cannabis and Cannabinoid Research (3 papers), Fluorine in Organic Chemistry (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Pharmaceutical Science (90 citations), Cancer Research (185 citations), Molecular Biology (917 citations), Organic Chemistry (359 citations) and Cardiology and Cardiovascular Medicine (256 citations). Si Chen has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yan Chen, Lei Guo, Yong-Min LIANG, Paul Lee Huang, Ching‐Hsuan Tung, Ralph Weissleder, Jennifer R. Allport, Jiqiu Chen, Yishuai Zhang and Xue‐Yuan Liu. Their work appears in journals such as Circulation, Life Sciences, Organic Letters, Archives of Toxicology and Toxicological Sciences.
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.