Kuan‐Ting Lin
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- RNA Interference and Gene Delivery
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- RNA Research and Splicing 12
- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 4
- Co-authors
- Adrian R. Krainer (8 shared papers)Chi‐Ying F. Huang (13 shared papers)C. Frank Bennett (2 shared papers)Juergen Scharner (2 shared papers)Wai Kit Ma (2 shared papers)Frank Rigo (2 shared papers)Chun‐Nan Hsu (4 shared papers)Cheng-Ju Kuo (3 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Nature (2 papers)Macromolecular Rapid Communications (2 papers)Nutrients (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Kuan‐Ting Lin
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 913
- Hematology 143
- Cancer Research 130
- Hepatology 47
- Oncology 110
Countries citing papers authored by Kuan‐Ting Lin
This map shows the geographic impact of Kuan‐Ting 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 Kuan‐Ting Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan‐Ting Lin more than expected).
Fields of papers citing papers by Kuan‐Ting Lin
This network shows the impact of papers produced by Kuan‐Ting 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 Kuan‐Ting Lin. The network helps show where Kuan‐Ting Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuan‐Ting 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 252 | |
| 2 | 2019 | 179 | |
| 3 | 2021 | 92 | |
| 4 | 2019 | 79 | |
| 5 | 2019 | 72 | |
| 6 | 2023 | 70 | |
| 7 | 2023 | 65 | |
| 8 | 2011 | 64 | |
| 9 | 2009 | 49 | |
| 10 | 2023 | 48 | |
| 11 | 2007 | 45 | |
| 12 | 2009 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2014 | 39 | |
| 15 | Rich Feature Set, Unification of Bidirectional Parsing and Dictionary Filtering for High F-Score Gene Mention Tagging. | 2007 | 31 |
| 16 | 2013 | 29 | |
| 17 | 2014 | 27 | |
| 18 | 2019 | 22 | |
| 19 | 2015 | 20 | |
| 20 | 2025 | 20 |
About Kuan‐Ting Lin
Kuan‐Ting Lin is a scholar working on Molecular Biology, Reproductive Medicine, Oncology, Computational Theory and Mathematics and Molecular Medicine, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers), Computational Drug Discovery Methods (3 papers), Advanced Materials and Mechanics (3 papers), Nanofabrication and Lithography Techniques (3 papers), Acute Myeloid Leukemia Research (2 papers) and Curcumin's Biomedical Applications (2 papers). The work is most often cited by research in Molecular Biology (913 citations), Hematology (143 citations), Cancer Research (130 citations), Hepatology (47 citations) and Oncology (110 citations). Kuan‐Ting Lin has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Adrian R. Krainer, Chi‐Ying F. Huang, C. Frank Bennett, Juergen Scharner, Wai Kit Ma, Frank Rigo, Chun‐Nan Hsu, Cheng-Ju Kuo, John Erby Wilkinson and Tur‐Fu Huang. Their work appears in journals such as BMC Bioinformatics, Nature, Macromolecular Rapid Communications, Nutrients and Nucleic Acids Research.
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.