Chi‐Chuan Lin
Impact in
-
- Fibroblast Growth Factor Research
- RNA Research and Splicing
- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
- RNA modifications and cancer
- Kruppel-like factors research
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
Papers in
- Aging 1
- Co-authors
- John E. LadburyKin Man SuenZamal AhmedFernando A. MeloStefan T. AroldLoren StaggJohn KirkpatrickKlaus Suhling
- Journals
- Nature Structural & Molecular Biology (2 papers)Nature Communications (2 papers)Molecular Cell (2 papers)Communications Biology (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSaudi Arabia
In The Last Decade
Chi‐Chuan Lin
20 papers receiving 576 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 447
- Cell Biology 86
- Aging 8
- Cancer Research 50
- Biophysics 16
Countries citing papers authored by Chi‐Chuan Lin
This map shows the geographic impact of Chi‐Chuan Lin'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 Chi‐Chuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Chuan Lin more than expected).
Fields of papers citing papers by Chi‐Chuan Lin
This network shows the impact of papers produced by Chi‐Chuan Lin. 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 Chi‐Chuan Lin. The network helps show where Chi‐Chuan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Chuan Lin, 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 | 2023 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 41 | |
| 12 | 2017 | 10 | |
| 13 | 2015 | 63 | |
| 14 | 2014 | 31 | |
| 15 | 2013 | 23 | |
| 16 | 2013 | 56 | |
| 17 | 2012 | 126 | |
| 18 | 2009 | 27 | |
| 19 | 1998 | 17 | |
| 20 | 1994 | 16 |
About Chi‐Chuan Lin
Chi‐Chuan Lin is a scholar working on Aging, Toxicology, Molecular Biology, Cell Biology and Fluid Flow and Transfer Processes, having authored 21 papers that have together received 578 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (7 papers), RNA Research and Splicing (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), RNA modifications and cancer (4 papers), Protein Tyrosine Phosphatases (3 papers), Melanoma and MAPK Pathways (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Molecular Biology (447 citations), Cell Biology (86 citations), Aging (8 citations), Cancer Research (50 citations) and Biophysics (16 citations). Chi‐Chuan Lin has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include John E. Ladbury, Kin Man Suen, Zamal Ahmed, Fernando A. Melo, Stefan T. Arold, Loren Stagg, John Kirkpatrick, Klaus Suhling, James A. Levitt and Łukasz Wieteska. Their work appears in journals such as Nature Structural & Molecular Biology, Nature Communications, Molecular Cell, Communications Biology and The Journal of Cell Biology.
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.