Deepak Voora

6.2k total citations · 2 hit papers
102 papers, 3.6k citations indexed

About

Deepak Voora is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pharmacology. According to data from OpenAlex, Deepak Voora has authored 102 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cardiology and Cardiovascular Medicine, 30 papers in Surgery and 26 papers in Pharmacology. Recurrent topics in Deepak Voora's work include Pharmacogenetics and Drug Metabolism (26 papers), Antiplatelet Therapy and Cardiovascular Diseases (24 papers) and Lipoproteins and Cardiovascular Health (23 papers). Deepak Voora is often cited by papers focused on Pharmacogenetics and Drug Metabolism (26 papers), Antiplatelet Therapy and Cardiovascular Diseases (24 papers) and Lipoproteins and Cardiovascular Health (23 papers). Deepak Voora collaborates with scholars based in United States, United Kingdom and Sweden. Deepak Voora's co-authors include Geoffrey S. Ginsburg, Brian F. Gage, Howard L. McLeod, Charles Eby, Svati H. Shah, Benjamin A. Salisbury, Paul E. Milligan, Carol R. Reed, Leonard Grosso and Ivan Spasojević and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Deepak Voora

99 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of Pharmacogenetic and Clinical Factors to Predict the Therapeutic Dose of Warfarin

2008 595 citations Brian F. Gage, Charles Eby et al. Clinical Pharmacology & Therapeutics profile →
The Clinical Pharmacogenetics Implementation Consortium Guideline for SLCO1B1 and Simvastatin-Induced Myopathy: 2014 Update

2014 301 citations Deepak Voora, Howard L. McLeod et al. Clinical Pharmacology & Therapeutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Voora United States	27	1.5k	802	774	719	609	102	3.6k
Andrea Jorgensen United Kingdom	32	1.4k 0.9×	509 0.6×	287 0.4×	468 0.7×	405 0.7×	107	3.7k
Niclas Eriksson Sweden	23	2.1k 1.4×	1.2k 1.5×	260 0.3×	486 0.7×	856 1.4×	67	4.2k
Vera H.M. Deneer Netherlands	31	1.1k 0.8×	1.9k 2.4×	1.1k 1.4×	465 0.6×	408 0.7×	88	4.5k
Larisa H. Cavallari United States	40	3.1k 2.1×	1.3k 1.6×	529 0.7×	685 1.0×	861 1.4×	198	5.3k
D M Roden United States	20	1.1k 0.7×	1.1k 1.3×	417 0.5×	615 0.9×	270 0.4×	27	2.7k
Patrick Kesteven United Kingdom	19	1.9k 1.3×	944 1.2×	295 0.4×	319 0.4×	772 1.3×	51	3.4k
Ute I. Schwarz Canada	37	2.0k 1.3×	863 1.1×	696 0.9×	733 1.0×	588 1.0×	87	5.6k
Julian Leathart United Kingdom	26	1.4k 0.9×	458 0.6×	229 0.3×	612 0.9×	901 1.5×	37	3.7k
Charles S. Eby United States	22	903 0.6×	754 0.9×	385 0.5×	271 0.4×	418 0.7×	61	3.0k
Raj Vuppalanchi United States	47	1.2k 0.8×	478 0.6×	1.2k 1.6×	721 1.0×	1.6k 2.6×	180	7.1k

Countries citing papers authored by Deepak Voora

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Voora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Voora

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Voora. A scholar is included among the top collaborators of Deepak Voora 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 Deepak Voora. Deepak Voora 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

Bates, Jill, et al.. (2024). Association of Pharmacogenomic Phenotypes in CYP2D6, CYP2C9, CYP2C19, and CYP3A5 on Polypharmacy in Veterans. Clinical Pharmacology & Therapeutics. 116(2). 390–396. 1 indexed citations

Berger, Jeffrey S., MacIntosh Cornwell, Yuhe Xia, et al.. (2024). A Platelet Reactivity ExpreSsion Score derived from patients with peripheral artery disease predicts cardiovascular risk. Nature Communications. 15(1). 6902–6902. 11 indexed citations

Hertz, Daniel L., Chad Bousman, Howard L. McLeod, et al.. (2024). Recommendations for pharmacogenetic testing in clinical practice guidelines in the US. American Journal of Health-System Pharmacy. 81(16). 672–683. 8 indexed citations

Voora, Deepak, et al.. (2024). RUNX1 isoforms regulate RUNX1 and target genes differentially in platelets-megakaryocytes: association with clinical cardiovascular events. Journal of Thrombosis and Haemostasis. 22(12). 3581–3598. 5 indexed citations

Shah, Nishant, Stephanie N. Giamberardino, Lydia Coulter Kwee, et al.. (2024). Association Between Lipoprotein(a) and Obstructive Coronary Artery Disease and High-Risk Plaque: Insights From the PROMISE Trial. The American Journal of Cardiology. 231. 40–47. 2 indexed citations

Bates, Jill, et al.. (2023). Veterans Health Administration: Implementation of pharmacogenomic clinical decision support with statin medications and the SLCO1B1 gene as an exemplar. American Journal of Health-System Pharmacy. 80(16). 1082–1089. 5 indexed citations

Giamberardino, Stephanie N., Neha J. Pagidipati, Deepak Voora, et al.. (2023). Branched‐Chain Amino Acids in Computed Tomography–Defined Adipose Depots and Coronary Artery Disease: A PROMISE Trial Biomarker Substudy. Journal of the American Heart Association. 12(11). e028410–e028410. 6 indexed citations

Oni‐Orisan, Akinyemi, Sony Tuteja, D. Max Smith, et al.. (2023). An Introductory Tutorial on Cardiovascular Pharmacogenetics for Healthcare Providers. Clinical Pharmacology & Therapeutics. 114(2). 275–287. 6 indexed citations

Barrett, Tessa J., MacIntosh Cornwell, Yuhe Xia, et al.. (2023). Abstract 292: Platelet Hyperreactivity Characterization by Aggregation and RNA-seq Informs Cardiovascular Risk. Arteriosclerosis Thrombosis and Vascular Biology. 43(Suppl_1).

10.

Ferencik, Maros, Thomas Mayrhofer, Michael T. Lu, et al.. (2022). Coronary Atherosclerosis, Cardiac Troponin, and Interleukin-6 in Patients With Chest Pain. JACC. Cardiovascular imaging. 15(8). 1427–1438. 31 indexed citations

11.

Haga, Susanne B., Rachel Mills, Jivan Moaddeb, Yiling Liu, & Deepak Voora. (2021). Independent Community Pharmacists’ Experience in Offering Pharmacogenetic Testing. Pharmacogenomics and Personalized Medicine. Volume 14. 877–886. 11 indexed citations

12.

Hull, Leland E., Jason L. Vassy, Annjanette Stone, et al.. (2020). Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System. Journal of Molecular Diagnostics. 22(10). 1264–1271. 3 indexed citations

13.

Gill, Rosalynn, Michael R. Mehan, Susanne B. Haga, et al.. (2018). Effects of Delivering SLCO1B1 Pharmacogenetic Information in Randomized Trial and Observational Settings. Circulation Genomic and Precision Medicine. 11(9). e002228–e002228. 33 indexed citations

14.

Voora, Deepak, et al.. (2016). Abstract 12183: SLCO1B1 Genotype-Guided Statin Therapy Lowers LDL Cholesterol in Patients With Statin-Intolerance- A Randomized Controlled Trial. Circulation. 134(suppl_1). 1 indexed citations

15.

Voora, Deepak, A. Koneti Rao, Gauthami Jalagadugula, et al.. (2016). Systems Pharmacogenomics Finds RUNX1 Is an Aspirin-Responsive Transcription Factor Linked to Cardiovascular Disease and Colon Cancer. EBioMedicine. 11. 157–164. 18 indexed citations

16.

Ginsburg, Geoffrey S., et al.. (2015). Gene Expression Signatures and the Spectrum of Coronary Artery Disease. Journal of Cardiovascular Translational Research. 8(6). 339–352. 8 indexed citations

17.

Voora, Deepak & Geoffrey S. Ginsburg. (2012). Clinical Application of Cardiovascular Pharmacogenetics. Journal of the American College of Cardiology. 60(1). 9–20. 43 indexed citations

18.

Voora, Deepak, Thomas L. Ortel, Joseph E. Lucas, et al.. (2010). Abstract 16293: A Whole Blood RNA Signature Accurately Classifies Multiple Measures of Platelet Function on Aspirin in Healthy Volunteers and Highlights a Common Underlying Pathway. Circulation. 122(5). 1 indexed citations

19.

Voora, Deepak, Svati H. Shah, Ivan Spasojević, et al.. (2009). The SLCO1B1*5Genetic Variant Is Associated With Statin-Induced Side Effects. Journal of the American College of Cardiology. 54(17). 1609–1616. 348 indexed citations

20.

Gage, Brian F., Charles Eby, JA Johnson, et al.. (2008). Use of Pharmacogenetic and Clinical Factors to Predict the Therapeutic Dose of Warfarin. Clinical Pharmacology & Therapeutics. 84(3). 326–331. 595 indexed citations breakdown →

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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