Chin Yu
Impact in
- Molecular Biology top 10%
- S100 Proteins and Annexins
- Protein Structure and Dynamics
- Fibroblast Growth Factor Research
- Ion channel regulation and function
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
-
- Advanced Glycation End Products research 11
-
- S100 Proteins and Annexins 31
- Fibroblast Growth Factor Research 21
- Protein Structure and Dynamics 16
- Ion channel regulation and function 8
- Co-authors
- Thallapuranam Krishnaswamy Suresh KumarRuey‐Hwang ChouDakshinamurthy RajalingamKaruppanan Muthusamy KathirG. JayaramanSampath SrisailamYa‐Hui ChiIng‐Ming Chiu
- Journals
- Journal of Biological Chemistry (17 papers)Biochemistry (13 papers)Biochemical and Biophysical Research Communications (12 papers)PLoS ONE (8 papers)Biophysical Journal (4 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chin Yu
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.2k
- Clinical Biochemistry 98
- Cell Biology 206
- Immunology 210
- Cancer Research 132
Countries citing papers authored by Chin Yu
This map shows the geographic impact of Chin Yu'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 Chin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Yu more than expected).
Fields of papers citing papers by Chin Yu
This network shows the impact of papers produced by Chin Yu. 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 Chin Yu. The network helps show where Chin Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chin Yu, 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 | 2021 | 3 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 0 | |
| 4 | 2020 | 5 | |
| 5 | 2019 | 31 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2016 | 10 | |
| 9 | 2013 | 27 | |
| 10 | 2011 | 7 | |
| 11 | 2010 | 24 | |
| 12 | 2008 | 17 | |
| 13 | 2005 | 12 | |
| 14 | 2004 | 8 | |
| 15 | 2003 | 13 | |
| 16 | 2003 | 59 | |
| 17 | 2002 | 59 | |
| 18 | 2001 | 36 | |
| 19 | 1998 | 10 | |
| 20 | 1998 | 40 |
About Chin Yu
Chin Yu is a scholar working on Clinical Biochemistry, Molecular Biology, Cell Biology, Cancer Research and Neurology, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (31 papers), Fibroblast Growth Factor Research (21 papers), Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (16 papers), Advanced Glycation End Products research (11 papers), Venomous Animal Envenomation and Studies (9 papers), Ion channel regulation and function (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Clinical Biochemistry (98 citations), Cell Biology (206 citations), Immunology (210 citations) and Cancer Research (132 citations). Chin Yu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Thallapuranam Krishnaswamy Suresh Kumar, Ruey‐Hwang Chou, Dakshinamurthy Rajalingam, Karuppanan Muthusamy Kathir, G. Jayaraman, Sampath Srisailam, Ya‐Hui Chi, Ing‐Ming Chiu, Sivaraja Vaithiyalingam and R. Bhaskaran. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochemical and Biophysical Research Communications, PLoS ONE and Biophysical Journal.
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.