Min-Han Lin
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- Computational Drug Discovery Methods
Papers in
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- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 2
- COVID-19 Clinical Research Studies 1
-
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Chi‐Yuan Chou (6 shared papers)Chiao‐Yin Sun (2 shared papers)Yau‐Hung Chen (1 shared paper)DAVID C. MOSES (1 shared paper)Kai-Wen Cheng (2 shared papers)Wei‐Yi Chen (1 shared paper)Chiao-Yin Sun (1 shared paper)Shu‐Chun Cheng (1 shared paper)
- Journals
- Antiviral Research (2 papers)Nature Communications (2 papers)PLoS ONE (2 papers)mBio (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- TaiwanUnited StatesPoland
In The Last Decade
Min-Han Lin
14 papers receiving 546 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 302
- Computational Theory and Mathematics 97
- Animal Science and Zoology 38
- Cardiology and Cardiovascular Medicine 61
- Neurology 38
Countries citing papers authored by Min-Han Lin
This map shows the geographic impact of Min-Han 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 Min-Han Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Han Lin more than expected).
Fields of papers citing papers by Min-Han Lin
This network shows the impact of papers produced by Min-Han 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 Min-Han Lin. The network helps show where Min-Han Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Min-Han 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 | 2017 | 211 | |
| 2 | 2014 | 149 | |
| 3 | 2014 | 38 | |
| 4 | 2017 | 31 | |
| 5 | 2011 | 23 | |
| 6 | 2013 | 22 | |
| 7 | 2016 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2007 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 3 |
About Min-Han Lin
Min-Han Lin is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Biotechnology and Nutrition and Dietetics, having authored 14 papers that have together received 554 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), RNA Research and Splicing (3 papers), Viral Infections and Immunology Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (302 citations), Computational Theory and Mathematics (97 citations), Animal Science and Zoology (38 citations), Cardiology and Cardiovascular Medicine (61 citations) and Neurology (38 citations). Min-Han Lin has collaborated with scholars based in Taiwan, United States and Poland. Frequent co-authors include Chi‐Yuan Chou, Chiao‐Yin Sun, Yau‐Hung Chen, DAVID C. MOSES, Kai-Wen Cheng, Wei‐Yi Chen, Chiao-Yin Sun, Shu‐Chun Cheng, Liang Tong and Pele Choi-Sing Chong. Their work appears in journals such as Antiviral Research, Nature Communications, PLoS ONE, mBio and Biochemical and Biophysical Research Communications.
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.