James D. Cowan
- Pharmacology top 2%
- Molecular Biology
- Genetics
- Pediatrics, Perinatology and Child Health top 10%
- Artificial Intelligence top 10%
- Co-authors
- Melissa BasfordJoshua C. DennyErica BowtonJill M. PulleyIoana DanciuMarylyn D. RitchiePaul A. HarrisJana K. Shirey-Rice
- Topics
- Biomedical Text Mining and Ontologies (5 papers)Pharmacogenetics and Drug Metabolism (4 papers)Genomics and Rare Diseases (2 papers)
- Journals
- Journal of Clinical EpidemiologyScience Translational MedicineClinical Pharmacology & Therapeutics
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
James D. Cowan
12 papers receiving 730 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 217
- Molecular Biology 179
- Genetics 139
- Pediatrics, Perinatology and Child Health 137
- Artificial Intelligence 102
Countries citing papers authored by James D. Cowan
This map shows the geographic impact of James D. Cowan'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 James D. Cowan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Cowan more than expected).
Fields of papers citing papers by James D. Cowan
This network shows the impact of papers produced by James D. Cowan. 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 James D. Cowan. The network helps show where James D. Cowan may publish in the future.
Co-authorship network of co-authors of James D. Cowan
This figure shows the co-authorship network connecting the top 25 collaborators of James D. Cowan. A scholar is included among the top collaborators of James D. Cowan 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 James D. Cowan. James D. Cowan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 201 | |
| 3 | 42 | |
| 4 | 103 | |
| 5 | 152 | |
| 6 | 70 | |
| 7 | 78 | |
| 8 | 59 | |
| 9 | An automated approach to calculating the daily dose of tacrolimus in electronic health records. | 10 |
| 10 | 4 | |
| 11 | 4 | |
| 12 | An approach to object-relational mapping in bioscience domains. | 1 |
About James D. Cowan
James D. Cowan is a scholar working on Pharmacology, Transplantation and Information Systems and Management, having authored 12 papers that have together received 739 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Pharmacology (217 citations), Health Information Management (93 citations) and Transplantation (46 citations). James D. Cowan has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Melissa Basford, Joshua C. Denny, Erica Bowton, Jill M. Pulley, Ioana Danciu, Marylyn D. Ritchie, Paul A. Harris, Jana K. Shirey-Rice, Jacqueline Kirby and Chi‐Hsiang Wang. Their work appears in journals such as Journal of Clinical Epidemiology, Science Translational Medicine and Clinical Pharmacology & Therapeutics.
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.