Ben Burkley

726 total citations
9 papers, 400 citations indexed

About

Ben Burkley is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Rheumatology. According to data from OpenAlex, Ben Burkley has authored 9 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pharmacology and 2 papers in Rheumatology. Recurrent topics in Ben Burkley's work include Pharmacogenetics and Drug Metabolism (3 papers), Dietary Effects on Health (2 papers) and Infrared Thermography in Medicine (1 paper). Ben Burkley is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Dietary Effects on Health (2 papers) and Infrared Thermography in Medicine (1 paper). Ben Burkley collaborates with scholars based in United States, United Kingdom and China. Ben Burkley's co-authors include Taimour Langaee, Julie A. Johnson, Yan Gong, Russ B. Altman, Teri E. Klein, Michael Clare‐Salzler, Rhonda M. Cooper‐DeHoff, Wei Hou, Jan S. Moreb and Joseph Katz and has published in prestigious journals such as Blood, Hypertension and Journal of neurosurgery.

In The Last Decade

Ben Burkley

9 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Burkley United States	8	144	89	83	80	66	9	400
Marianne Kristiansen Kringen Norway	18	230 1.6×	149 1.7×	58 0.7×	81 1.0×	76 1.2×	41	634
J M Alexandre France	9	62 0.4×	95 1.1×	90 1.1×	145 1.8×	81 1.2×	20	433
Ryogo Umetsu Japan	13	77 0.5×	42 0.5×	49 0.6×	51 0.6×	22 0.3×	21	467
Muradiye Nacak Türkiye	13	203 1.4×	130 1.5×	67 0.8×	103 1.3×	61 0.9×	29	598
Valérie Gras France	11	32 0.2×	57 0.6×	35 0.4×	63 0.8×	28 0.4×	29	371
Arne Risselada Netherlands	14	132 0.9×	86 1.0×	41 0.5×	41 0.5×	64 1.0×	29	573
B. H. Ch. Stricker Netherlands	10	137 1.0×	81 0.9×	194 2.3×	49 0.6×	99 1.5×	16	551
Choon Ok Kim South Korea	12	48 0.3×	73 0.8×	20 0.2×	130 1.6×	58 0.9×	48	376
S. M. L. Abrams United Kingdom	10	33 0.2×	36 0.4×	33 0.4×	49 0.6×	25 0.4×	19	337
Sung Eun Sim South Korea	6	321 2.2×	68 0.8×	133 1.6×	136 1.7×	87 1.3×	19	657

Countries citing papers authored by Ben Burkley

Since Specialization

Citations

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

Fields of papers citing papers by Ben Burkley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Burkley

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

All Works

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9 of 9 papers shown

Hoh, Brian L., Yan Gong, Caitrin W. McDonough, et al.. (2015). CYP2C19 and CES1 polymorphisms and efficacy of clopidogrel and aspirin dual antiplatelet therapy in patients with symptomatic intracranial atherosclerotic disease. Journal of neurosurgery. 124(6). 1746–1751. 28 indexed citations

Hamadeh, Issam S., Taimour Langaee, R. Dwivedi, et al.. (2014). Impact of CYP2D6 Polymorphisms on Clinical Efficacy and Tolerability of Metoprolol Tartrate. Clinical Pharmacology & Therapeutics. 96(2). 175–181. 72 indexed citations

Daneshjou, Roxana, Eric R. Gamazon, Ben Burkley, et al.. (2014). Genetic variant in folate homeostasis is associated with lower warfarin dose in African Americans. Blood. 124(14). 2298–2305. 40 indexed citations

McDonough, Caitrin W., Yan Gong, Sandosh Padmanabhan, et al.. (2013). Pharmacogenomic Association of Nonsynonymous SNPs in SIGLEC12 , A1BG , and the Selectin Region and Cardiovascular Outcomes. Hypertension. 62(1). 48–54. 27 indexed citations

Johnson, Julie A., Ben Burkley, Taimour Langaee, et al.. (2012). Implementing Personalized Medicine: Development of a Cost-Effective Customized Pharmacogenetics Genotyping Array. Clinical Pharmacology & Therapeutics. 92(4). 437–439. 76 indexed citations

Duarte, Julio D., Issam Zineh, Ben Burkley, et al.. (2012). Effects of genetic variation in H3K79 methylation regulatory genes on clinical blood pressure and blood pressure response to hydrochlorothiazide. Journal of Translational Medicine. 10(1). 56–56. 20 indexed citations

Sibille, Kimberly T., Taimour Langaee, Ben Burkley, et al.. (2012). Chronic Pain, Perceived Stress, and Cellular Aging: An Exploratory Study. Molecular Pain. 8. 12–12. 63 indexed citations

Katz, Joseph, Yan Gong, Wei Hou, et al.. (2011). Genetic polymorphisms and other risk factors associated with bisphosphonate induced osteonecrosis of the jaw. International Journal of Oral and Maxillofacial Surgery. 40(6). 605–611. 73 indexed citations

Gray, Rebecca, et al.. (2006). Genetic Variation at the Mitochondrial DNA 9-bp Repeat Locus in the Sakha of Siberia. Human Biology. 78(2). 179–198. 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.

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