Dan Masys
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
Papers in
-
- Health Policy Implementation Science 1
- Health Sciences Research and Education 1
- Co-authors
- Jill M. Pulley (6 shared papers)Dan M. Roden (4 shared papers)Joshua C. Denny (4 shared papers)Melissa Basford (4 shared papers)Marylyn D. Ritchie (3 shared papers)Dana C. Crawford (2 shared papers)Lisa Bastarache (1 shared paper)Kristin Brown‐Gentry (1 shared paper)
- Journals
- Pharmacogenomics (1 paper)Circulation (1 paper)HIV Clinical Trials (1 paper)Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Dan Masys
8 papers receiving 994 citations
Dan Masys's Hit Papers
Peers
Comparison fields: 5 of 118
- Genetics 396
- Health Information Management 43
- Molecular Biology 463
- Cancer Research 80
- Computational Mathematics 3
Countries citing papers authored by Dan Masys
This map shows the geographic impact of Dan Masys'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 Dan Masys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Masys more than expected).
Fields of papers citing papers by Dan Masys
This network shows the impact of papers produced by Dan Masys. 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 Dan Masys. The network helps show where Dan Masys may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Masys, 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 | PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations Hit paper breakdown → | 2010 | 703 |
| 2 | 2004 | 147 | |
| 3 | 2007 | 81 | |
| 4 | 2010 | 40 | |
| 5 | 2013 | 19 | |
| 6 | 2007 | 13 | |
| 7 | 2011 | 10 | |
| 8 | Abstract 2684: Modulators of Normal ECG Intervals Identified in a large Electronic Medical Record | 2009 | 1 |
About Dan Masys
Dan Masys is a scholar working on Molecular Biology, General Health Professions, Public Health, Environmental and Occupational Health, Genetics and Infectious Diseases, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ethics in Clinical Research (2 papers), Health Policy Implementation Science (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Genetic Associations and Epidemiology (1 paper), Health Sciences Research and Education (1 paper), HIV Research and Treatment (1 paper), Prostate Cancer Treatment and Research (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Genetics (396 citations), Health Information Management (43 citations), Molecular Biology (463 citations), Cancer Research (80 citations) and Computational Mathematics (3 citations). Dan Masys has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Jill M. Pulley, Dan M. Roden, Joshua C. Denny, Melissa Basford, Marylyn D. Ritchie, Dana C. Crawford, Lisa Bastarache, Kristin Brown‐Gentry, Gordon R. Bernard and Steven Goodison. Their work appears in journals such as Pharmacogenomics, Circulation, HIV Clinical Trials, Proceedings of the National Academy of Sciences and Bioinformatics.
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.