Daniel R. Masys

6.7k total citations
75 papers, 3.0k citations indexed

About

Daniel R. Masys is a scholar working on Molecular Biology, Health Information Management and Genetics. According to data from OpenAlex, Daniel R. Masys has authored 75 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Health Information Management and 13 papers in Genetics. Recurrent topics in Daniel R. Masys's work include Electronic Health Records Systems (14 papers), Biomedical Text Mining and Ontologies (12 papers) and Genetic Associations and Epidemiology (9 papers). Daniel R. Masys is often cited by papers focused on Electronic Health Records Systems (14 papers), Biomedical Text Mining and Ontologies (12 papers) and Genetic Associations and Epidemiology (9 papers). Daniel R. Masys collaborates with scholars based in United States, Chile and Argentina. Daniel R. Masys's co-authors include Jill M. Pulley, Isaac S. Kohane, Russ B. Altman, Joshua C. Denny, Dana C. Crawford, Andrea H. Ramirez, Melissa Basford, Marylyn D. Ritchie, Dan M. Roden and Gordon R. Bernard and has published in prestigious journals such as JAMA, Circulation and Nature Genetics.

In The Last Decade

Daniel R. Masys

73 papers receiving 2.9k citations

Peers

Daniel R. Masys

GENET

PHEOH

PHARM

HIM

Jill M. Pulley United States

Melissa Basford United States

Anand S. Dighe United States

Abraham G. Hartzema United States

Wei‐Qi Wei United States

Ellen Wright Clayton United States

Kathryn A. Phillips United States

Peggy Peissig United States

Carol Friedman United States

Kevin B. Johnson United States

Jill M. Pulley United States

Daniel R. Masys

893 ×1.1

1.1k ×1.5

GENET

746 ×1.5

PHEOH

802 ×1.8

PHARM

201 ×0.6

HIM

Citations per year, relative to Daniel R. Masys Daniel R. Masys (= 1×) peers Jill M. Pulley

Countries citing papers authored by Daniel R. Masys

Since Specialization

Citations

This map shows the geographic impact of Daniel R. 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 Daniel R. Masys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Masys more than expected).

Fields of papers citing papers by Daniel R. Masys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. 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 Daniel R. Masys. The network helps show where Daniel R. Masys may publish in the future.

Co-authorship network of co-authors of Daniel R. Masys

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Masys. A scholar is included among the top collaborators of Daniel R. 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 Daniel R. Masys. Daniel R. Masys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Monroe‐Wise, Aliza, John Kinuthia, Sherrilynne S. Fuller, et al.. (2019). Improving Information and Communications Technology (ICT) Knowledge and Skills to Develop Health Research Capacity in Kenya. Online Journal of Public Health Informatics. 11(3). e22–e22. 4 indexed citations

Shameer, Khader, Joshua C. Denny, Keyue Ding, et al.. (2013). A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects. Human Genetics. 133(1). 95–109. 98 indexed citations

Fink, Valeria, Bryan E. Shepherd, Carina César, et al.. (2011). Cancer in HIV-Infected Persons From the Caribbean, Central and South America. JAIDS Journal of Acquired Immune Deficiency Syndromes. 56(5). 467–473. 15 indexed citations

Masys, Daniel R., Gail P. Jarvik, Neil F. Abernethy, et al.. (2011). Technical desiderata for the integration of genomic data into Electronic Health Records. Journal of Biomedical Informatics. 45(3). 419–422. 72 indexed citations

Pathak, Jyotishman, Janey Wang, Melissa Basford, et al.. (2011). Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience. Journal of the American Medical Informatics Association. 18(4). 376–386. 85 indexed citations

Crabtree‐Ramírez, Brenda, Bryan E. Shepherd, Firas Wehbe, et al.. (2011). Cross-Sectional Analysis of Late HAART Initiation in Latin America and the Caribbean: Late Testers and Late Presenters. PLoS ONE. 6(5). e20272–e20272. 59 indexed citations

Spragg, Roger G., et al.. (2010). An informatics strategy to assure enrollment criteria compliance in studies of the critically ill. Contemporary Clinical Trials. 31(6). 530–535. 2 indexed citations

Ritchie, Marylyn D., Joshua C. Denny, Dana C. Crawford, et al.. (2010). Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record. The American Journal of Human Genetics. 87(2). 310–310. 3 indexed citations

Pulley, Jill M., Gordon R. Bernard, Jim Jirjis, et al.. (2010). Identifying Unpredicted Drug Benefit through Query of Patient Experiential Knowledge: A Proof of Concept Web‐Based System. Clinical and Translational Science. 3(3). 98–103. 5 indexed citations

10.

McGowan, Catherine C., Pedro Cahn, Eduardo Gotuzzo, et al.. (2007). Cohort Profile: Caribbean, Central and South America Network for HIV research (CCASAnet) collaboration within the International Epidemiologic Databases to Evaluate AIDS (IeDEA) programme. International Journal of Epidemiology. 36(5). 969–976. 90 indexed citations

11.

Kohane, Isaac S., Daniel R. Masys, & Russ B. Altman. (2006). The Incidentalome. JAMA. 296(2). 212–212. 216 indexed citations

12.

Fink, J. Lynn, Hiren Patel, John Welsh, et al.. (2003). 2HAPI: a microarray data analysis system. Bioinformatics. 19(11). 1443–1445. 8 indexed citations

13.

Masys, Daniel R., et al.. (2001). Use of keyword hierarchies to interpret gene expression patterns. Bioinformatics. 17(4). 319–326. 101 indexed citations

14.

Masys, Daniel R.. (2001). Database designs for microarray data. The Pharmacogenomics Journal. 1(4). 232–233. 1 indexed citations

15.

Masys, Daniel R., Patricia Brennan, Judy G. Ozbolt, M Corn, & Edward H. Shortliffe. (2000). Are Medical Informatics and Nursing Informatics Distinct Disciplines?: The 1999 ACMI Debate. Journal of the American Medical Informatics Association. 7(3). 304–312. 12 indexed citations

16.

Baker, David & Daniel R. Masys. (1999). PCASSO: a design for secure communication of personal health information via the internet. International Journal of Medical Informatics. 54(2). 97–104. 25 indexed citations

17.

Masys, Daniel R.. (1997). 1997 AMIA annual fall symposium, formerly SCAMC : the emergence of 'internetable' health care. systems that really work : a conference of the American Medical Informatics Association : proceedings : October 25-29, 1997, Opryland Hotel, Nashville, TN..

18.

Masys, Daniel R.. (1989). Information Technology and Undergraduate Medical Education.. Academic Medicine. 64(4). 3 indexed citations

19.

Shortliffe, Edward H., Lawrence M. Fagan, & Daniel R. Masys. (1989). Research Training in Medical Informatics: The Stanford Experience. PubMed. 64(10). 575–575. 8 indexed citations

20.

Perry, David J., et al.. (1987). Dose Modification for PDQ.. PubMed Central. 739–742. 1 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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