Si Chen
Impact in
- Pharmaceutical Science top 5%
- Fluorine in Organic Chemistry
- Cancer Research top 10%
Papers in ⓘ
-
- Drug-Induced Hepatotoxicity and Protection 4
- Co-authors
- Yan Chen (13 shared papers)Lei Guo (9 shared papers)Yong‐Min Liang (7 shared papers)Ralph Weissleder (1 shared paper)Jiqiu Chen (1 shared paper)Jennifer R. Allport (1 shared paper)Ching‐Hsuan Tung (1 shared paper)Paul L. Huang (1 shared paper)
- Journals
- Circulation (5 papers)Archives of Toxicology (3 papers)Circulation Research (3 papers)Organic Letters (3 papers)Toxicological Sciences (3 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Si Chen
80 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 121
- Pharmaceutical Science 91
- Cancer Research 215
- Molecular Biology 952
- Cardiology and Cardiovascular Medicine 295
- Organic Chemistry 344
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 176 | |
| 2 | 2012 | 164 | |
| 3 | 2016 | 118 | |
| 4 | 2016 | 74 | |
| 5 | 2017 | 71 | |
| 6 | 2016 | 69 | |
| 7 | 2019 | 66 | |
| 8 | 2011 | 53 | |
| 9 | 2014 | 51 | |
| 10 | 2008 | 50 | |
| 11 | 2019 | 50 | |
| 12 | 2018 | 44 | |
| 13 | 2017 | 43 | |
| 14 | 2012 | 41 | |
| 15 | 2017 | 41 | |
| 16 | 2011 | 40 | |
| 17 | 2017 | 39 | |
| 18 | 2023 | 38 | |
| 19 | 2020 | 37 | |
| 20 | 2017 | 35 |
About Si Chen
Si Chen is a scholar working on Pharmacology, Biological Psychiatry, Pharmaceutical Science, Molecular Biology and Cell Biology, having authored 83 papers that have together received 2.0k 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), Cardiac Fibrosis and Remodeling (4 papers), Heart Failure Treatment and Management (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Pharmaceutical Science (91 citations), Cancer Research (215 citations), Molecular Biology (952 citations), Cardiology and Cardiovascular Medicine (295 citations) and Organic Chemistry (344 citations). Si Chen has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Yan Chen, Lei Guo, Yong‐Min Liang, Ralph Weissleder, Jiqiu Chen, Jennifer R. Allport, Ching‐Hsuan Tung, Paul L. Huang, Xue‐Yuan Liu and Yishuai Zhang. Their work appears in journals such as Circulation, Archives of Toxicology, Circulation Research, Organic Letters 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.