Brian Hoar
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
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- Thyroid Disorders and Treatments
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Thyroid Disorders and Treatments 1
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- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Byron J. Hoogwerf (7 shared papers)Danielle M. Brennan (6 shared papers)Adriana G. Ioachimescu (3 shared papers)Stanley L. Hazen (1 shared paper)Mario Skugor (1 shared paper)Sangeeta R. Kashyap (2 shared papers)Leo Pozuelo (1 shared paper)Jianping Zhang (1 shared paper)
- Journals
- Diabetes Obesity and Metabolism (2 papers)Diabetic Medicine (1 paper)Obesity (1 paper)Thyroid (1 paper)Preventive Cardiology (1 paper)
- Partner nations
- United StatesVietnamBrazil
In The Last Decade
Brian Hoar
8 papers receiving 526 citations
Peers
Comparison fields: 5 of 71
- Nephrology 160
- Endocrinology, Diabetes and Metabolism 161
- Pathology and Forensic Medicine 51
- Public Health, Environmental and Occupational Health 63
- Cardiology and Cardiovascular Medicine 38
Countries citing papers authored by Brian Hoar
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
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-authors
The 19 scholars most cited alongside Brian Hoar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 163 | |
| 2 | 2011 | 126 | |
| 3 | 2009 | 119 | |
| 4 | Clinical-histopathological correlation of the abnormal retinal vessels in cerebral malaria. | 2000 | 58 |
| 5 | 2007 | 32 | |
| 6 | 2009 | 31 | |
| 7 | 2008 | 15 | |
| 8 | 2008 | 7 |
About Brian Hoar
Brian Hoar is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Public Health, Environmental and Occupational Health, Health and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 551 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Malaria Research and Control (1 paper), Health disparities and outcomes (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Cardiac Health and Mental Health (1 paper), Thyroid Disorders and Treatments (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Nephrology (160 citations), Endocrinology, Diabetes and Metabolism (161 citations), Pathology and Forensic Medicine (51 citations), Public Health, Environmental and Occupational Health (63 citations) and Cardiology and Cardiovascular Medicine (38 citations). Brian Hoar has collaborated with scholars based in United States, Vietnam and Brazil. Frequent co-authors include Byron J. Hoogwerf, Danielle M. Brennan, Adriana G. Ioachimescu, Stanley L. Hazen, Mario Skugor, Sangeeta R. Kashyap, Leo Pozuelo, Jianping Zhang, Andrew Q. McCormick and Janette Lindley. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetic Medicine, Obesity, Thyroid and Preventive Cardiology.
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.