Shin-Fu Chen
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
-
- Amino Acid Enzymes and Metabolism
Papers in
-
- Cancer therapeutics and mechanisms 4
- RNA Research and Splicing 3
- Surgery 4
- Anesthesia and Pain Management 3
- Co-authors
- Chen‐Sheng Yeh (2 shared papers)Nei‐Li Chan (5 shared papers)Chyuan-Chuan Wu (3 shared papers)Hwo‐Shuenn Sheu (1 shared paper)Dar‐Bin Shieh (1 shared paper)Yi-Song Chen (1 shared paper)Tsai‐Kun Li (1 shared paper)Tun‐Cheng Chien (1 shared paper)
- Journals
- Molecular Cell (2 papers)The Journal of Physical Chemistry B (2 papers)Nucleic Acids Research (2 papers)Cell Research (1 paper)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Shin-Fu Chen
18 papers receiving 520 citations
Peers
Comparison fields: 5 of 76
- Toxicology 44
- Biochemistry 36
- Molecular Biology 319
- Organic Chemistry 106
- Health Informatics 4
Countries citing papers authored by Shin-Fu Chen
This map shows the geographic impact of Shin-Fu 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 Shin-Fu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin-Fu Chen more than expected).
Fields of papers citing papers by Shin-Fu Chen
This network shows the impact of papers produced by Shin-Fu 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 Shin-Fu Chen. The network helps show where Shin-Fu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shin-Fu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2021 | 62 | |
| 3 | 2015 | 60 | |
| 4 | 2005 | 55 | |
| 5 | 2002 | 54 | |
| 6 | 2018 | 52 | |
| 7 | 2021 | 43 | |
| 8 | 2022 | 26 | |
| 9 | 2012 | 22 | |
| 10 | 2023 | 15 | |
| 11 | 1999 | 12 | |
| 12 | 2013 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2000 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 |
About Shin-Fu Chen
Shin-Fu Chen is a scholar working on Molecular Biology, Surgery, Oncology, Electrical and Electronic Engineering and Anesthesiology and Pain Medicine, having authored 18 papers that have together received 526 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (4 papers), Radio Frequency Integrated Circuit Design (3 papers), Opioid Use Disorder Treatment (3 papers), Anesthesia and Pain Management (3 papers), Pain Management and Opioid Use (3 papers), RNA Research and Splicing (3 papers), Advanced Power Amplifier Design (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Toxicology (44 citations), Biochemistry (36 citations), Molecular Biology (319 citations), Organic Chemistry (106 citations) and Health Informatics (4 citations). Shin-Fu Chen has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Chen‐Sheng Yeh, Nei‐Li Chan, Chyuan-Chuan Wu, Hwo‐Shuenn Sheu, Dar‐Bin Shieh, Yi-Song Chen, Tsai‐Kun Li, Tun‐Cheng Chien, Yi‐Wen Liao and Kuang‐Lei Tsai. Their work appears in journals such as Molecular Cell, The Journal of Physical Chemistry B, Nucleic Acids Research, Cell Research and IEEE Journal of Solid-State Circuits.
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.