Melissa Basford
Impact in
- Health Information Management top 0.2%
- Electronic Health Records Systems
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
- Genetics 15
- Genetic Associations and Epidemiology 11
- Genomics and Rare Diseases 7
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Joshua C. Denny (22 shared papers)Dan M. Roden (17 shared papers)Jill M. Pulley (15 shared papers)Marylyn D. Ritchie (14 shared papers)Dana C. Crawford (13 shared papers)Kristin Brown‐Gentry (5 shared papers)Dan Masys (4 shared papers)Lisa Bastarache (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (8 papers)Pharmacogenomics (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Circulation (2 papers)The American Journal of Human Genetics (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Melissa Basford
36 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Health Information Management 373
- Pharmacology 285
- Health Informatics 40
- Computational Mathematics 17
- Genetics 803
Countries citing papers authored by Melissa Basford
This map shows the geographic impact of Melissa Basford'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 Melissa Basford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Basford more than expected).
Fields of papers citing papers by Melissa Basford
This network shows the impact of papers produced by Melissa Basford. 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 Melissa Basford. The network helps show where Melissa Basford may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa Basford, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations Hit paper breakdown → | 2010 | 703 |
| 2 | 2013 | 281 | |
| 3 | 2016 | 238 | |
| 4 | 2010 | 237 | |
| 5 | 2014 | 201 | |
| 6 | 2012 | 152 | |
| 7 | 2010 | 91 | |
| 8 | 2011 | 85 | |
| 9 | 2011 | 78 | |
| 10 | 2010 | 76 | |
| 11 | 2011 | 76 | |
| 12 | 2012 | 70 | |
| 13 | 2011 | 59 | |
| 14 | 2011 | 55 | |
| 15 | 2010 | 40 | |
| 16 | 2014 | 25 | |
| 17 | 2013 | 24 | |
| 18 | 2010 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2015 | 15 |
About Melissa Basford
Melissa Basford is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Health Information Management and Pharmacology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Genomics and Rare Diseases (7 papers), Biomedical Text Mining and Ontologies (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Electronic Health Records Systems (5 papers), Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Health Information Management (373 citations), Pharmacology (285 citations), Health Informatics (40 citations), Computational Mathematics (17 citations) and Genetics (803 citations). Melissa Basford has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Joshua C. Denny, Dan M. Roden, Jill M. Pulley, Marylyn D. Ritchie, Dana C. Crawford, Kristin Brown‐Gentry, Dan Masys, Lisa Bastarache, Daniel R. Masys and Andrea H. Ramirez. Their work appears in journals such as Journal of the American Medical Informatics Association, Pharmacogenomics, Clinical Pharmacology & Therapeutics, Circulation and The American Journal of Human Genetics.
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.