Yu-Chin Su
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Autophagy in Disease and Therapy 3
- Virology and Viral Diseases 2
-
- Viral Infections and Vectors 5
- Co-authors
- Xin Qi (4 shared papers)Daria Mochly‐Rosen (1 shared paper)Nir Qvit (1 shared paper)Jiann‐Ruey Hong (9 shared papers)Jen‐Leih Wu (5 shared papers)Xing Guo (1 shared paper)Chih‐Wei Chang (1 shared paper)Chia‐Ling Hsieh (1 shared paper)
- Journals
- APOPTOSIS (2 papers)Virology (2 papers)Artificial Cells Nanomedicine and Biotechnology (1 paper)Fish & Shellfish Immunology (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu-Chin Su
15 papers receiving 971 citations
Peers
Comparison fields: 5 of 76
- Clinical Biochemistry 107
- Neurology 202
- Immunology 223
- Animal Science and Zoology 109
- Molecular Biology 552
Countries citing papers authored by Yu-Chin Su
This map shows the geographic impact of Yu-Chin Su'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 Yu-Chin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Chin Su more than expected).
Fields of papers citing papers by Yu-Chin Su
This network shows the impact of papers produced by Yu-Chin Su. 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 Yu-Chin Su. The network helps show where Yu-Chin Su may publish in the future.
Co-authors
The 15 scholars most cited alongside Yu-Chin Su, 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 | 2012 | 393 | |
| 2 | 2013 | 193 | |
| 3 | 2009 | 77 | |
| 4 | 2014 | 58 | |
| 5 | 2008 | 55 | |
| 6 | 2007 | 47 | |
| 7 | 2010 | 44 | |
| 8 | 2011 | 36 | |
| 9 | 2018 | 27 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2017 | 6 | |
| 14 | 2013 | 3 | |
| 15 | 2016 | 2 |
About Yu-Chin Su
Yu-Chin Su is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 983 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Mosquito-borne diseases and control (3 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers), Virus-based gene therapy research (3 papers), Aquaculture disease management and microbiota (3 papers), Toxoplasma gondii Research Studies (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Clinical Biochemistry (107 citations), Neurology (202 citations), Immunology (223 citations), Animal Science and Zoology (109 citations) and Molecular Biology (552 citations). Yu-Chin Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Xin Qi, Daria Mochly‐Rosen, Nir Qvit, Jiann‐Ruey Hong, Jen‐Leih Wu, Xing Guo, Chih‐Wei Chang, Chia‐Ling Hsieh, Zung‐Hang Wei and Willie Lin. Their work appears in journals such as APOPTOSIS, Virology, Artificial Cells Nanomedicine and Biotechnology, Fish & Shellfish Immunology and Human Molecular Genetics.
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.