Scott Dudek
Impact in
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- Circadian rhythm and melatonin
- Aging top 5%
Papers in
- Genetics 35
- Genetic Associations and Epidemiology 30
- Genetic Mapping and Diversity in Plants and Animals 14
- Genetic and phenotypic traits in livestock 7
- Genomics and Rare Diseases 4
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- Bioinformatics and Genomic Networks 21
- Gene expression and cancer classification 8
- Machine Learning in Bioinformatics 5
- Co-authors
- Marylyn D. Ritchie (58 shared papers)Sarah A. Pendergrass (13 shared papers)William S. Bush (9 shared papers)Yuki Bradford (4 shared papers)Paul E. Hardin (2 shared papers)Jerry H. Houl (2 shared papers)Alison A. Motsinger‐Reif (7 shared papers)Dan M. Roden (2 shared papers)
- Journals
- BioData Mining (8 papers)Bioinformatics (4 papers)Genetic Epidemiology (2 papers)BMC Bioinformatics (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Scott Dudek
61 papers receiving 2.4k citations
Scott Dudek's Hit Papers
Peers
Comparison fields: 5 of 129
- Endocrine and Autonomic Systems 270
- Aging 63
- Pharmacology 284
- Genetics 921
- Molecular Biology 906
Countries citing papers authored by Scott Dudek
This map shows the geographic impact of Scott Dudek'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 Scott Dudek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Dudek more than expected).
Fields of papers citing papers by Scott Dudek
This network shows the impact of papers produced by Scott Dudek. 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 Scott Dudek. The network helps show where Scott Dudek may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Dudek, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic Determinants of Response to Warfarin during Initial Anticoagulation Hit paper breakdown → | 2008 | 432 |
| 2 | 2003 | 236 | |
| 3 | 2013 | 176 | |
| 4 | 1998 | 162 | |
| 5 | 2008 | 96 | |
| 6 | 2008 | 86 | |
| 7 | 2010 | 70 | |
| 8 | 2013 | 64 | |
| 9 | 2018 | 64 | |
| 10 | 2005 | 60 | |
| 11 | 2006 | 59 | |
| 12 | 2008 | 55 | |
| 13 | 2006 | 54 | |
| 14 | 2022 | 49 | |
| 15 | Finding unique filter sets in PLATO: a precursor to efficient interaction analysis in GWAS data. | 2010 | 44 |
| 16 | 2013 | 42 | |
| 17 | 2015 | 39 | |
| 18 | 2010 | 38 | |
| 19 | 2012 | 37 | |
| 20 | 2016 | 35 |
About Scott Dudek
Scott Dudek is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Cancer Research and Pharmacology, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Bioinformatics and Genomic Networks (21 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Gene expression and cancer classification (8 papers), Evolutionary Algorithms and Applications (8 papers), Genetic and phenotypic traits in livestock (7 papers), Machine Learning in Bioinformatics (5 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (270 citations), Aging (63 citations), Pharmacology (284 citations), Genetics (921 citations) and Molecular Biology (906 citations). Scott Dudek has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Marylyn D. Ritchie, Sarah A. Pendergrass, William S. Bush, Yuki Bradford, Paul E. Hardin, Jerry H. Houl, Alison A. Motsinger‐Reif, Dan M. Roden, C. Michael Stein and Chun Li. Their work appears in journals such as BioData Mining, Bioinformatics, Genetic Epidemiology, BMC Bioinformatics and Nature 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.