John Brown

37 papers receiving 3.0k citations

John Brown's Hit Papers

Glucose Transporters in Human Renal Proximal Tubular Cells Isolated From the Urine of Patients With Non–Insulin-Dependent Diabetes 2005 · 670 citations
6700+7+14Years since publication200400600

Peers

John Brown
Comparison fields: 5 of 93
  • Critical Care and Intensive Care Medicine 248
  • Endocrinology, Diabetes and Metabolism 368
  • Psychiatry and Mental health 227
  • Radiology, Nuclear Medicine and Imaging 221
  • Neurology 60
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Citations per year

Countries citing papers authored by John Brown

Since Specialization
Citations

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

Fields of papers citing papers by John Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Brown Line = papers co-authored together John Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glucose Transporters in Human Renal Proximal Tubular Cells Isolated From the Urine of Patients With Non–Insulin-Dependent Diabetes
Hit paper breakdown →
2005670
2 1987442
3 2006285
4 2005254
5 2004246
6 2004194
7 2004179
8 2001108
9 200396
10 200392
11 201789
12 200588
13 200543
14 201535
15 200631
16 201730
17 200329
18 200527
19 202027
20 200726

About John Brown

John Brown is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Neurology, Medical Laboratory Technology and Molecular Biology, having authored 38 papers that have together received 3.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (3 papers), Advanced MRI Techniques and Applications (3 papers), Peripheral Nerve Disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Medicinal Plants and Bioactive Compounds (2 papers) and Epilepsy research and treatment (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (248 citations), Endocrinology, Diabetes and Metabolism (368 citations), Psychiatry and Mental health (227 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Neurology (60 citations). John Brown has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Guizhu Hong, Joanna M. Ward, Chari D. Smith, Charles F. Bolton, Angelika F. Hahn, Douglas William Zochodne, Joseph J. Gilbert, George A. Wells, Andrew Lockhart and Antony D. Gee. Their work appears in journals such as Muscle & Nerve, Magnetic Resonance in Medicine, Journal of Biological Chemistry, The FASEB Journal and Stroke.

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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