DM Roden

1.6k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

DM Roden is a scholar working on Pharmacology, Genetics and Surgery. According to data from OpenAlex, DM Roden has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in DM Roden's work include Pharmacogenetics and Drug Metabolism (4 papers), Genomics and Rare Diseases (3 papers) and Plant-based Medicinal Research (2 papers). DM Roden is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Genomics and Rare Diseases (3 papers) and Plant-based Medicinal Research (2 papers). DM Roden collaborates with scholars based in United States, Italy and Japan. DM Roden's co-authors include GR Bernard, Ellen Wright Clayton, Joshua C. Denny, JS Schildcrout, Yaping Shi, Jill M. Pulley, Christian Funck‐Brentano, Jacques Turgeon, Raymond L. Woosley and Michael Laposata and has published in prestigious journals such as Clinical Pharmacology & Therapeutics and British Journal of Clinical Pharmacology.

In The Last Decade

DM Roden

8 papers receiving 1.1k citations

Hit Papers

Development of a Large-Scale De-Identified DNA Biobank to... 2008 2026 2014 2020 2008 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
DM Roden United States 7 312 278 256 196 146 8 1.1k
Jason H. Karnes United States 18 251 0.8× 217 0.8× 304 1.2× 112 0.6× 108 0.7× 62 1.3k
James D. Cowan United States 9 217 0.7× 139 0.5× 179 0.7× 137 0.7× 82 0.6× 12 739
Philip E. Empey United States 29 412 1.3× 159 0.6× 472 1.8× 368 1.9× 161 1.1× 98 2.0k
Andrea H. Ramirez United States 20 482 1.5× 446 1.6× 526 2.1× 263 1.3× 212 1.5× 41 1.7k
Jessica Delaney United States 13 304 1.0× 179 0.6× 278 1.1× 110 0.6× 73 0.5× 23 952
Omri Gottesman United States 19 165 0.5× 384 1.4× 519 2.0× 99 0.5× 148 1.0× 23 1.6k
QiPing Feng United States 22 320 1.0× 307 1.1× 424 1.7× 180 0.9× 114 0.8× 78 1.8k
Manfred Hauben United States 26 181 0.6× 86 0.3× 192 0.8× 265 1.4× 117 0.8× 77 2.4k
Preciosa M. Coloma Netherlands 25 124 0.4× 90 0.3× 216 0.8× 192 1.0× 131 0.9× 46 1.9k
Sony Tuteja United States 20 283 0.9× 109 0.4× 276 1.1× 198 1.0× 110 0.8× 71 1.3k

Countries citing papers authored by DM Roden

Since Specialization
Citations

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

Fields of papers citing papers by DM Roden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DM Roden. 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 DM Roden. The network helps show where DM Roden may publish in the future.

Co-authorship network of co-authors of DM Roden

This figure shows the co-authorship network connecting the top 25 collaborators of DM Roden. A scholar is included among the top collaborators of DM Roden 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 DM Roden. DM Roden 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.
Goswami, Sangeeta, Sook Wah Yee, Fu‐Hua Xu, et al.. (2016). A Longitudinal HbA1c Model Elucidates Genes Linked to Disease Progression on Metformin. Clinical Pharmacology & Therapeutics. 100(5). 537–547. 14 indexed citations
2.
Schildcrout, JS, et al.. (2015). Physician response to implementation of genotype‐tailored antiplatelet therapy. Clinical Pharmacology & Therapeutics. 100(1). 67–74. 46 indexed citations
3.
Roden, DM & Joshua C. Denny. (2015). Integrating electronic health record genotype and phenotype datasets to transform patient care. Clinical Pharmacology & Therapeutics. 99(3). 298–305. 23 indexed citations
4.
Shi, Yaping, et al.. (2013). Clinically Actionable Genotypes Among 10,000 Patients With Preemptive Pharmacogenomic Testing. Clinical Pharmacology & Therapeutics. 95(4). 423–431. 251 indexed citations
5.
Roden, DM, et al.. (2008). Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine. Clinical Pharmacology & Therapeutics. 84(3). 362–369. 662 indexed citations breakdown →
6.
Turgeon, Jacques, et al.. (1992). Stereoselective genetically‐determined interaction between chronic flecainide and quinidine in patients with arrhythmias.. British Journal of Clinical Pharmacology. 33(3). 275–280. 35 indexed citations
7.
Turgeon, Jacques, Evans We, M V Relling, G R Wilkinson, & DM Roden. (1991). Phenotypic debrisoquine 4‐hydroxylase activity among extensive metabolizers is unrelated to genotype as determined by the Xba‐I restriction fragment length polymorphism.. British Journal of Clinical Pharmacology. 32(3). 283–288. 4 indexed citations
8.
Funck‐Brentano, Christian, et al.. (1989). Genetically‐determined interaction between propafenone and low dose quinidine: role of active metabolites in modulating net drug effect.. British Journal of Clinical Pharmacology. 27(4). 435–444. 48 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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