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 19
- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 7
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Machine Learning in Healthcare 5
- Co-authors
- Warren A. Kibbe (12 shared papers)Pan Du (5 shared papers)Chiang‐Ching Huang (2 shared papers)Lifang Hou (1 shared paper)Nadereh Jafari (1 shared paper)Xiao Zhang (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)Journal of Medical Internet Research (2 papers)Telemedicine Journal and e-Health (2 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Simon Lin
84 papers receiving 3.6k citations
Simon Lin's Hit Papers
Peers
Comparison fields: 5 of 157
- Health Informatics 50
- Molecular Biology 1.6k
- Health Information Management 88
- Artificial Intelligence 645
- Cancer Research 210
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 | 1422 |
| 2 | Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing. Hit paper breakdown → | 2014 | 315 |
| 3 | Graph embedding on biomedical networks: methods, applications and evaluations Hit paper breakdown → | 2019 | 250 |
| 4 | 2009 | 207 | |
| 5 | 2020 | 137 | |
| 6 | 2020 | 99 | |
| 7 | 2009 | 92 | |
| 8 | 2007 | 72 | |
| 9 | 2003 | 71 | |
| 10 | 2016 | 66 | |
| 11 | 2013 | 58 | |
| 12 | 2020 | 48 | |
| 13 | 2015 | 46 | |
| 14 | 2012 | 43 | |
| 15 | 2020 | 42 | |
| 16 | 2005 | 41 | |
| 17 | 2016 | 40 | |
| 18 | 2015 | 33 | |
| 19 | 2020 | 29 | |
| 20 | 2019 | 26 |
About Simon Lin
Simon Lin is a scholar working on Molecular Biology, Artificial Intelligence, General Health Professions, Genetics and Epidemiology, having authored 85 papers that have together received 3.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (10 papers), Bioinformatics and Genomic Networks (9 papers), Natural Language Processing Techniques (8 papers), Gene expression and cancer classification (7 papers), Mobile Health and mHealth Applications (6 papers), Genomics and Rare Diseases (6 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (50 citations), Molecular Biology (1.6k citations), Health Information Management (88 citations), Artificial Intelligence (645 citations) and Cancer Research (210 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, Nadereh Jafari, Xiao Zhang, Yungui Huang, Emre Sezgın, David Page and Thomas Ristenpart. Their work appears in journals such as Bioinformatics, PEDIATRICS, JMIR mhealth and uhealth, Journal of Medical Internet Research 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.