Jerome Lin
Impact in
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- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
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- Epigenetics and DNA Methylation
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in ⓘ
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- Epigenetics and DNA Methylation 2
- Machine Learning in Bioinformatics 1
- TGF-β signaling in diseases 1
- Genetics 4
- Genetic Associations and Epidemiology 3
- Forensic and Genetic Research 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Chi-Wei Chen (1 shared paper)Yen-Wei Chu (1 shared paper)Mary C. Mullins (1 shared paper)Hannah Greenfeld (1 shared paper)Stephen T. McGarvey (1 shared paper)Daniel E. Weeks (1 shared paper)Chi-Ting Su (1 shared paper)Muagututi‘a Sefuiva Reupena (1 shared paper)
- Journals
- Nature Genetics (1 paper)PLoS Biology (1 paper)Cell Reports (1 paper)BMC Bioinformatics (1 paper)BMC Genetics (1 paper)
- Partner nations
- United StatesPuerto RicoTaiwan
In The Last Decade
Jerome Lin
10 papers receiving 510 citations
Peers
Comparison fields: 5 of 98
- Genetics 150
- Molecular Biology 274
- Physiology 68
- Cell Biology 33
- Immunology 38
Countries citing papers authored by Jerome Lin
This map shows the geographic impact of Jerome 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 Jerome Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerome Lin more than expected).
Fields of papers citing papers by Jerome Lin
This network shows the impact of papers produced by Jerome 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 Jerome Lin. The network helps show where Jerome Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerome 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 | 2013 | 189 | |
| 2 | 2016 | 167 | |
| 3 | 2015 | 52 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 36 | |
| 6 | 2019 | 20 | |
| 7 | 2015 | 9 | |
| 8 | 2017 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2018 | 1 |
About Jerome Lin
Jerome Lin is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Virology and Ocean Engineering, having authored 10 papers that have together received 518 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Epigenetics and DNA Methylation (2 papers), Forensic and Genetic Research (1 paper), Machine Learning in Bioinformatics (1 paper), MicroRNA in disease regulation (1 paper), HIV Research and Treatment (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Genetics (150 citations), Molecular Biology (274 citations), Physiology (68 citations), Cell Biology (33 citations) and Immunology (38 citations). Jerome Lin has collaborated with scholars based in United States, Puerto Rico and Taiwan. Frequent co-authors include Chi-Wei Chen, Yen-Wei Chu, Mary C. Mullins, Hannah Greenfeld, Stephen T. McGarvey, Daniel E. Weeks, Chi-Ting Su, Muagututi‘a Sefuiva Reupena, Erin E. Kershaw and Satupaitea Viali. Their work appears in journals such as Nature Genetics, PLoS Biology, Cell Reports, BMC Bioinformatics and BMC 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.