Dan Masys

1.7k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Dan Masys is a scholar working on Molecular Biology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dan Masys has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in General Health Professions and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dan Masys's work include Ethics in Clinical Research (2 papers), ECG Monitoring and Analysis (1 paper) and HIV Research and Treatment (1 paper). Dan Masys is often cited by papers focused on Ethics in Clinical Research (2 papers), ECG Monitoring and Analysis (1 paper) and HIV Research and Treatment (1 paper). Dan Masys collaborates with scholars based in United States, Switzerland and Australia. Dan Masys's co-authors include Jill M. Pulley, Dan M. Roden, Joshua C. Denny, Melissa Basford, Dana C. Crawford, Marylyn D. Ritchie, Kristin Brown‐Gentry, Lisa Bastarache, Gordon R. Bernard and William Wachsman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Bioinformatics.

In The Last Decade

Dan Masys

8 papers receiving 994 citations

Hit Papers

PheWAS: demonstrating the feasibility of a phenome-wide s... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Masys United States 7 463 396 142 121 80 8 1.0k
Kristin Brown‐Gentry United States 14 548 1.2× 648 1.6× 106 0.7× 144 1.2× 69 0.9× 26 1.4k
DM Roden United States 7 256 0.6× 278 0.7× 146 1.0× 91 0.8× 48 0.6× 8 1.1k
Mindy Clyne United States 17 433 0.9× 526 1.3× 144 1.0× 42 0.3× 111 1.4× 26 1.2k
Jason H. Karnes United States 18 304 0.7× 217 0.5× 108 0.8× 93 0.8× 72 0.9× 62 1.3k
Jeffery L. Painter United States 10 525 1.1× 394 1.0× 56 0.4× 54 0.4× 72 0.9× 28 1.3k
Noura S. Abul‐Husn United States 20 506 1.1× 405 1.0× 126 0.9× 45 0.4× 101 1.3× 42 1.4k
Lisa A. Bastarache United States 9 309 0.7× 461 1.2× 53 0.4× 77 0.6× 49 0.6× 11 954
Akram Alyass Canada 13 285 0.6× 160 0.4× 149 1.0× 46 0.4× 57 0.7× 23 896
GR Bernard Gibraltar 4 186 0.4× 206 0.5× 140 1.0× 85 0.7× 35 0.4× 7 872
Wendy A. Wolf United States 14 229 0.5× 299 0.8× 139 1.0× 83 0.7× 40 0.5× 35 813

Countries citing papers authored by Dan Masys

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dan Masys

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Masys. A scholar is included among the top collaborators of Dan Masys based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Masys. Dan Masys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Oetjens, Matthew T., Joshua C. Denny, Marylyn D. Ritchie, et al.. (2013). Assessment of a Pharmacogenomic Marker Panel in a Polypharmacy Population Identified from Electronic Medical Records. Pharmacogenomics. 14(7). 735–744. 19 indexed citations
2.
Haas, David W., Daniel R. Kuritzkes, Marylyn D. Ritchie, et al.. (2011). Pharmacogenomics of HIV Therapy: Summary of a Workshop Sponsored by the National Institute of Allergy and Infectious Diseases. HIV Clinical Trials. 12(5). 277–285. 10 indexed citations
3.
Denny, Joshua C., Marylyn D. Ritchie, Melissa Basford, et al.. (2010). PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations. Bioinformatics. 26(9). 1205–1210. 703 indexed citations breakdown →
4.
Ramirez, Andrea H., Jonathan S. Schildcrout, Dan Masys, et al.. (2010). Modulators of normal electrocardiographic intervals identified in a large electronic medical record. Heart Rhythm. 8(2). 271–277. 40 indexed citations
5.
Schildcrout, Jonathan S., Dan Masys, Jill M. Pulley, et al.. (2009). Abstract 2684: Modulators of Normal ECG Intervals Identified in a large Electronic Medical Record. Circulation. 120. 1 indexed citations
6.
Pulley, Jill M., et al.. (2007). Evaluation of the effectiveness of posters to provide information to patients about a DNA database and their opportunity to opt out. Cell and Tissue Banking. 8(3). 233–241. 13 indexed citations
7.
Pulley, Jill M., et al.. (2007). Attitudes and perceptions of patients towards methods of establishing a DNA biobank. Cell and Tissue Banking. 9(1). 55–65. 81 indexed citations
8.
Stuart, Robert O., William Wachsman, Charles C. Berry, et al.. (2004). In silicodissection of cell-type-associated patterns of gene expression in prostate cancer. Proceedings of the National Academy of Sciences. 101(2). 615–620. 147 indexed citations

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.

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