James D. Cowan

1.1k total citations
12 papers, 739 citations indexed

About

James D. Cowan is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, James D. Cowan has authored 12 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Genetics. Recurrent topics in James D. Cowan's work include Biomedical Text Mining and Ontologies (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Genomics and Rare Diseases (2 papers). James D. Cowan is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Genomics and Rare Diseases (2 papers). James D. Cowan collaborates with scholars based in United States, France and Germany. James D. Cowan's co-authors include Melissa Basford, Joshua C. Denny, Erica Bowton, Jill M. Pulley, Marylyn D. Ritchie, Ioana Danciu, Paul A. Harris, Jana K. Shirey-Rice, Chi‐Hsiang Wang and Jacqueline Kirby and has published in prestigious journals such as Journal of Clinical Epidemiology, Science Translational Medicine and Clinical Pharmacology & Therapeutics.

In The Last Decade

James D. Cowan

12 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James D. Cowan United States	9	217	179	139	137	102	12	739
Jason H. Karnes United States	18	251 1.2×	304 1.7×	217 1.6×	112 0.8×	93 0.9×	62	1.3k
DM Roden United States	7	312 1.4×	256 1.4×	278 2.0×	196 1.4×	91 0.9×	8	1.1k
Stephen B. Ellis United States	13	98 0.5×	192 1.1×	144 1.0×	80 0.6×	199 2.0×	25	973
Casey Lynnette Overby United States	15	196 0.9×	210 1.2×	217 1.6×	89 0.6×	68 0.7×	29	698
Jim Jirjis United States	6	235 1.1×	97 0.5×	125 0.9×	110 0.8×	34 0.3×	12	445
Jessica Delaney United States	13	304 1.4×	278 1.6×	179 1.3×	110 0.8×	41 0.4×	23	952
QiPing Feng United States	22	320 1.5×	424 2.4×	307 2.2×	180 1.3×	128 1.3×	78	1.8k
GR Bernard Gibraltar	4	44 0.2×	186 1.0×	206 1.5×	45 0.3×	85 0.8×	7	872
Frantz Thiessard France	20	71 0.3×	151 0.8×	23 0.2×	88 0.6×	88 0.9×	60	1.2k
Jamie R. Robinson United States	15	64 0.3×	51 0.3×	52 0.4×	124 0.9×	51 0.5×	48	820

Countries citing papers authored by James D. Cowan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Schildcrout, Jonathan S., Yaping Shi, Ioana Danciu, et al.. (2015). A prognostic model based on readily available clinical data enriched a pre-emptive pharmacogenetic testing program. Journal of Clinical Epidemiology. 72. 107–115. 15 indexed citations

Danciu, Ioana, James D. Cowan, Melissa Basford, et al.. (2014). Secondary use of clinical data: The Vanderbilt approach. Journal of Biomedical Informatics. 52. 28–35. 201 indexed citations

Karnes, Jason H., Robert M. Cronin, Jérôme Rollin, et al.. (2014). A genome-wide association study of heparin-induced thrombocyto - penia using an electronic medical record. Thrombosis and Haemostasis. 113(4). 772–781. 42 indexed citations

Bowton, Erica, Julie R. Field, Jonathan S. Schildcrout, et al.. (2014). Biobanks and Electronic Medical Records: Enabling Cost-Effective Research. Science Translational Medicine. 6(234). 234cm3–234cm3. 103 indexed citations

Ramirez, Andrea H., Yaping Shi, Jonathan S. Schildcrout, et al.. (2012). Predicting Warfarin Dosage in European–Americans and African–Americans using DNA Samples Linked to an Electronic Health Record. Pharmacogenomics. 13(4). 407–418. 70 indexed citations

Schildcrout, Jonathan S., Joshua C. Denny, Erica Bowton, et al.. (2012). Optimizing Drug Outcomes Through Pharmacogenetics: A Case for Preemptive Genotyping. Clinical Pharmacology & Therapeutics. 92(2). 235–242. 152 indexed citations

Birdwell, Kelly A., Leena Choi, Aihua Bian, et al.. (2011). The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients. Pharmacogenetics and Genomics. 22(1). 32–42. 78 indexed citations

Xu, Hua, Min Jiang, Erica Bowton, et al.. (2011). Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. Journal of the American Medical Informatics Association. 18(4). 387–391. 59 indexed citations

Xu, Hua, Son Doan, Kelly A. Birdwell, et al.. (2010). An automated approach to calculating the daily dose of tacrolimus in electronic health records.. PubMed. 2010. 71–5. 10 indexed citations

10.

Cowan, James D., David L. Rimm, & David Tuck. (2006). Cruella: developing a scalable tissue microarray data management system.. Archives of Pathology & Laboratory Medicine. 130(6). 817–22. 4 indexed citations

11.

Cowan, James D., David L. Rimm, & David Tuck. (2006). Cruella: Developing a Scalable Tissue Microarray Data Management System. Archives of Pathology & Laboratory Medicine. 130(6). 817–822. 4 indexed citations

12.

Tuck, David, Ryan O’Connell, Peter Gershkovich, & James D. Cowan. (2002). An approach to object-relational mapping in bioscience domains.. PubMed. 820–4. 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.

Explore authors with similar magnitude of impact