Cameron D. Thomas

865 total citations · 1 hit paper
15 papers, 481 citations indexed

About

Cameron D. Thomas is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Gastroenterology. According to data from OpenAlex, Cameron D. Thomas has authored 15 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Gastroenterology. Recurrent topics in Cameron D. Thomas's work include Gastroesophageal reflux and treatments (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Cameron D. Thomas is often cited by papers focused on Gastroesophageal reflux and treatments (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Cameron D. Thomas collaborates with scholars based in United States, Switzerland and Germany. Cameron D. Thomas's co-authors include Julie A. Johnson, Larisa H. Cavallari, John J. Lima, James P. Franciosi, Andrea Gaedigk, Teri E. Klein, Chakradhara Rao S. Uppugunduri, Matthias Schwab, Roseann S. Gammal and David Thacker and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Pharmacology Biochemistry and Behavior and JAMA Network Open.

In The Last Decade

Cameron D. Thomas

15 papers receiving 475 citations

Hit Papers

Clinical Pharmacogenetics Implementation Consortium (CPIC... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron D. Thomas United States 10 222 115 110 88 61 15 481
R. Dennhardt Germany 13 37 0.2× 206 1.8× 32 0.3× 20 0.2× 29 0.5× 56 571
Nghi Phung Australia 11 22 0.1× 74 0.6× 30 0.3× 33 0.4× 18 0.3× 20 755
G Scobie United Kingdom 6 42 0.2× 80 0.7× 48 0.4× 38 0.4× 19 0.3× 10 347
Giuseppe Cicala Italy 14 28 0.1× 52 0.5× 45 0.4× 37 0.4× 36 0.6× 32 405
Betty Wang United States 12 35 0.2× 98 0.9× 39 0.4× 2 0.0× 63 1.0× 27 568
G. White United States 9 32 0.1× 65 0.6× 13 0.1× 27 0.3× 20 0.3× 19 480
Anthony I. Stern Australia 13 24 0.1× 275 2.4× 10 0.1× 138 1.6× 16 0.3× 25 515
Hsin‐Ying Lu Taiwan 12 54 0.2× 84 0.7× 106 1.0× 3 0.0× 14 0.2× 27 575
A BERTOLINI Italy 11 50 0.2× 28 0.2× 80 0.7× 2 0.0× 29 0.5× 15 650
Gunnar Nyberg Sweden 10 22 0.1× 64 0.6× 11 0.1× 18 0.2× 220 3.6× 22 500

Countries citing papers authored by Cameron D. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Cameron D. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron D. Thomas. 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 Cameron D. Thomas. The network helps show where Cameron D. Thomas may publish in the future.

Co-authorship network of co-authors of Cameron D. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron D. Thomas. A scholar is included among the top collaborators of Cameron D. Thomas 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 Cameron D. Thomas. Cameron D. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Patel, Rajiv, Cameron D. Thomas, Francesco Franchi, et al.. (2025). CYP2C19 Phenotype, P2Y 12 Inhibitor Selection, and Clinical Outcomes in Patients on Maintenance Clopidogrel Therapy. Journal of the American Heart Association. 14(14). e041634–e041634. 1 indexed citations
2.
Duarte, Julio D., Cameron D. Thomas, Craig R. Lee, et al.. (2024). Clinical Pharmacogenetics Implementation Consortium Guideline (CPIC) for CYP2D6, ADRB1, ADRB2, ADRA2C, GRK4, and GRK5 Genotypes and Beta‐Blocker Therapy. Clinical Pharmacology & Therapeutics. 116(4). 939–947. 22 indexed citations
3.
Thomas, Cameron D., Francesco Franchi, Ellen C. Keeley, et al.. (2024). Evaluating the Effect of Estimating Renal Function With the CKD‐EPI 2021 Equation on the ABCD‐GENE Score for Clopidogrel Response Prediction. Clinical Pharmacology & Therapeutics. 116(5). 1227–1230. 2 indexed citations
4.
Wang, Yehua, Larisa H. Cavallari, Joshua D. Brown, Cameron D. Thomas, & Almut G. Winterstein. (2023). Assessing the Clinical Treatment Dynamics of Antiplatelet Therapy Following Acute Coronary Syndrome and Percutaneous Coronary Intervention in the US. JAMA Network Open. 6(4). e238585–e238585. 9 indexed citations
5.
Cicali, Emily J., Cameron D. Thomas, Rachel Dalton, et al.. (2023). Implementation of CYP2C19 genotyping to guide proton pump inhibitor use at an academic health center. American Journal of Health-System Pharmacy. 80(15). 994–1003. 12 indexed citations
6.
Thomas, Cameron D., et al.. (2023). Pharmacogenetics of P2Y 12 receptor inhibitors. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 43(2). 158–175. 14 indexed citations
7.
Thomas, Cameron D., Hari K. Parvataneni, Chancellor F. Gray, et al.. (2021). A hybrid implementation-effectiveness randomized trial of CYP2D6-guided postoperative pain management. Genetics in Medicine. 23(4). 621–628. 25 indexed citations
8.
Cicali, Emily J., Cameron D. Thomas, D. Max Smith, et al.. (2021). How to Integrate CYP2D6 Phenoconversion Into Clinical Pharmacogenetics: A Tutorial. Clinical Pharmacology & Therapeutics. 110(3). 677–687. 54 indexed citations
9.
Lima, John J., Cameron D. Thomas, Julia M. Barbarino, et al.. (2020). Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2C19 and Proton Pump Inhibitor Dosing. Clinical Pharmacology & Therapeutics. 109(6). 1417–1423. 194 indexed citations breakdown →
10.
Thomas, Cameron D. & Julie A. Johnson. (2020). Pharmacogenetic factors affecting β-blocker metabolism and response. Expert Opinion on Drug Metabolism & Toxicology. 16(10). 953–964. 32 indexed citations
11.
Ehrgott, John Q., et al.. (2018). Investigation of relationships between soil type and condition and crater size for shallow-buried explosive charges. International Journal of Protective Structures. 10(2). 135–153. 5 indexed citations
12.
Thomas, Cameron D., et al.. (2018). Evaluation of the protective effects of β-blockers in the management of acute exacerbations of chronic obstructive pulmonary disease. Journal of Clinical Pharmacy and Therapeutics. 44(1). 109–114. 4 indexed citations
13.
Franciosi, James P., et al.. (2017). Association between CYP2C19 extensive metabolizer phenotype and childhood anti-reflux surgery following failed proton pump inhibitor medication treatment. European Journal of Pediatrics. 177(1). 69–77. 20 indexed citations
14.
Franciosi, James P., et al.. (2017). Association BetweenCYP2C19*17Alleles and pH Probe Testing Outcomes in Children With Symptomatic Gastroesophageal Reflux. The Journal of Clinical Pharmacology. 58(1). 89–96. 21 indexed citations
15.
Thomas, Cameron D., et al.. (2015). Peripheral oxytocin administration reduces ethanol consumption in rats. Pharmacology Biochemistry and Behavior. 140. 27–32. 66 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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