Brian Hoar

677 total citations
8 papers, 546 citations indexed

About

Brian Hoar is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Nephrology. According to data from OpenAlex, Brian Hoar has authored 8 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Epidemiology and 2 papers in Nephrology. Recurrent topics in Brian Hoar's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Brian Hoar is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Brian Hoar collaborates with scholars based in United States, Australia and Belarus. Brian Hoar's co-authors include Byron J. Hoogwerf, Danielle M. Brennan, Adriana G. Ioachimescu, Stanley L. Hazen, Mario Skugor, Sangeeta R. Kashyap, Leo Pozuelo, Jianping Zhang, Madalitso Tembo and J Lochhead and has published in prestigious journals such as Obesity, Diabetic Medicine and Thyroid.

In The Last Decade

Brian Hoar

8 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Hoar United States	8	201	169	114	99	94	8	546
Letícia Schwerz Weinert Brazil	17	176 0.9×	124 0.7×	67 0.6×	94 0.9×	55 0.6×	40	699
Fuzai Yin China	18	175 0.9×	49 0.3×	152 1.3×	48 0.5×	216 2.3×	72	781
Kirtikumar D Modi India	16	317 1.6×	59 0.3×	74 0.6×	96 1.0×	21 0.2×	49	645
Amir Sharifuddin Md Khir Malaysia	12	230 1.1×	29 0.2×	140 1.2×	96 1.0×	52 0.6×	19	508
J. A. Whitworth Australia	12	143 0.7×	117 0.7×	44 0.4×	25 0.3×	52 0.6×	33	500
Ahmad H. Al‐Sharqawi Saudi Arabia	11	313 1.6×	74 0.4×	132 1.2×	22 0.2×	40 0.4×	11	589
Andrea Pota Italy	16	57 0.3×	530 3.1×	65 0.6×	64 0.6×	38 0.4×	25	809
Liuxin Wu China	12	75 0.4×	55 0.3×	89 0.8×	38 0.4×	76 0.8×	30	412
Enrique Luna Spain	13	45 0.2×	177 1.0×	74 0.6×	63 0.6×	32 0.3×	50	409
J. H. Fuller United Kingdom	9	399 2.0×	64 0.4×	140 1.2×	24 0.2×	99 1.1×	10	786

Countries citing papers authored by Brian Hoar

Since Specialization

Citations

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

Fields of papers citing papers by Brian Hoar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Hoar

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

All Works

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8 of 8 papers shown

Skugor, Mario, et al.. (2011). Hypothyroidism and Moderate Subclinical Hypothyroidism Are Associated with Increased All-Cause Mortality Independent of Coronary Heart Disease Risk Factors: A PreCIS Database Study. Thyroid. 21(8). 837–843. 124 indexed citations

Ioachimescu, Adriana G., Danielle M. Brennan, Brian Hoar, & Byron J. Hoogwerf. (2009). The Lipid Accumulation Product and All‐cause Mortality in Patients at High Cardiovascular Risk: A PreCIS Database Study. Obesity. 18(9). 1836–1844. 118 indexed citations

Zhang, Jianping, Leo Pozuelo, Danielle M. Brennan, Brian Hoar, & Byron J. Hoogwerf. (2009). Association of SF-36 With Coronary Artery Disease Risk Factors and Mortality: A PreCIS Study. Preventive Cardiology. 13(3). no–no. 30 indexed citations

Davidson, Michael, et al.. (2008). The relationship of glycaemic control and triglycerides in patients with diabetes mellitus: a PreCIS Database Study. Diabetes Obesity and Metabolism. 11(2). 118–122. 7 indexed citations

Ioachimescu, Adriana G., Danielle M. Brennan, Brian Hoar, Stanley L. Hazen, & Byron J. Hoogwerf. (2008). Serum uric acid is an independent predictor of all‐cause mortality in patients at high risk of cardiovascular disease: A preventive cardiology information system (PreCIS) database cohort study. Arthritis & Rheumatism. 58(2). 623–630. 162 indexed citations

Kashyap, Sangeeta R., et al.. (2008). All‐cause mortality risk predictors in a preventive cardiology clinic cohort‐examining diabetes and individual metabolic syndrome criteria: a PRECIS database study. Diabetes Obesity and Metabolism. 11(2). 102–108. 15 indexed citations

Ioachimescu, Adriana G., Danielle M. Brennan, Brian Hoar, Sangeeta R. Kashyap, & Byron J. Hoogwerf. (2007). Serum uric acid, mortality and glucose control in patients with Type 2 diabetes mellitus: a PreCIS database study. Diabetic Medicine. 24(12). 1369–1374. 32 indexed citations

Lewallen, Susan, Valerie A. White, Richard O. Whitten, et al.. (2000). Clinical-histopathological correlation of the abnormal retinal vessels in cerebral malaria.. PubMed. 118(7). 924–8. 58 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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