Dan Masys
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
Papers in
-
- HIV/AIDS Research and Interventions 1
- HIV/AIDS drug development and treatment 1
-
- Identification and Quantification in Food 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)Kristin Brown‐Gentry (1 shared paper)Lisa Bastarache (1 shared paper)
- Journals
- Bioinformatics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Circulation (1 paper)HIV Clinical Trials (1 paper)Heart Rhythm (1 paper)
- Partner nations
- United StatesSouth AfricaSwitzerland
In The Last Decade
Dan Masys
8 papers receiving 1.0k citations
Dan Masys's Hit Papers
Peers
Comparison fields: 5 of 110
- Genetics 338
- Health Information Management 33
- Molecular Biology 374
- Cancer Research 70
- 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 | 737 |
| 2 | 2004 | 154 | |
| 3 | 2007 | 82 | |
| 4 | 2010 | 42 | |
| 5 | 2013 | 19 | |
| 6 | 2007 | 13 | |
| 7 | 2011 | 11 | |
| 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 Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Virology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (1 paper), HIV/AIDS drug development and treatment (1 paper), Prostate Cancer Treatment and Research (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), HIV Research and Treatment (1 paper), Ethics in Clinical Research (1 paper), Identification and Quantification in Food (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Genetics (338 citations), Health Information Management (33 citations), Molecular Biology (374 citations), Cancer Research (70 citations) and Computational Mathematics (3 citations). Dan Masys has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Jill M. Pulley, Dan M. Roden, Joshua C. Denny, Melissa Basford, Marylyn D. Ritchie, Dana C. Crawford, Kristin Brown‐Gentry, Lisa Bastarache, Gordon R. Bernard and Iveta Kalcheva. Their work appears in journals such as Bioinformatics, Proceedings of the National Academy of Sciences, Circulation, HIV Clinical Trials and Heart Rhythm.
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.