Simon Lin
Impact in
- Health Informatics top 2%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
- Gene expression and cancer classification
Papers in ⓘ
-
- Biomedical Text Mining and Ontologies 22
- Bioinformatics and Genomic Networks 13
- Gene expression and cancer classification 9
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Semantic Web and Ontologies 6
- Co-authors
- Warren A. Kibbe (12 shared papers)Pan Du (5 shared papers)Chiang‐Ching Huang (2 shared papers)Lifang Hou (1 shared paper)Xiao Zhang (1 shared paper)Nadereh Jafari (1 shared paper)Yungui Huang (33 shared papers)Emre Sezgın (18 shared papers)
- Journals
- Bioinformatics (4 papers)PEDIATRICS (4 papers)JMIR mhealth and uhealth (3 papers)Frontiers in Public Health (2 papers)Telemedicine Journal and e-Health (2 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Simon Lin
84 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Health Informatics 62
- Molecular Biology 2.0k
- Health Information Management 112
- Artificial Intelligence 718
- Cancer Research 302
Countries citing papers authored by Simon Lin
This map shows the geographic impact of Simon 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 Simon Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Lin more than expected).
Fields of papers citing papers by Simon Lin
This network shows the impact of papers produced by Simon 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 Simon Lin. The network helps show where Simon Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis Hit paper breakdown → | 2010 | 1403 |
| 2 | Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing. Hit paper breakdown → | 2014 | 313 |
| 3 | 2019 | 243 | |
| 4 | 2009 | 206 | |
| 5 | 2020 | 137 | |
| 6 | 2020 | 92 | |
| 7 | 2009 | 91 | |
| 8 | 2007 | 72 | |
| 9 | 2003 | 71 | |
| 10 | 2016 | 65 | |
| 11 | 2013 | 58 | |
| 12 | 2015 | 45 | |
| 13 | 2012 | 42 | |
| 14 | 2020 | 42 | |
| 15 | 2005 | 41 | |
| 16 | 2016 | 40 | |
| 17 | 2020 | 38 | |
| 18 | 2015 | 33 | |
| 19 | 2020 | 29 | |
| 20 | 2019 | 24 |
About Simon Lin
Simon Lin is a scholar working on Molecular Biology, Artificial Intelligence, General Health Professions, Genetics and Public Health, Environmental and Occupational Health, having authored 85 papers that have together received 3.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Bioinformatics and Genomic Networks (13 papers), Topic Modeling (10 papers), Mobile Health and mHealth Applications (10 papers), Gene expression and cancer classification (9 papers), Natural Language Processing Techniques (8 papers), Genomics and Rare Diseases (8 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Health Informatics (62 citations), Molecular Biology (2.0k citations), Health Information Management (112 citations), Artificial Intelligence (718 citations) and Cancer Research (302 citations). Simon Lin has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Warren A. Kibbe, Pan Du, Chiang‐Ching Huang, Lifang Hou, Xiao Zhang, Nadereh Jafari, Yungui Huang, Emre Sezgın, Éric Lantz and Somesh Jha. Their work appears in journals such as Bioinformatics, PEDIATRICS, JMIR mhealth and uhealth, Frontiers in Public Health and Telemedicine Journal and e-Health.
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.