Brian Brown

20 papers receiving 396 citations

Peers

Brian Brown
Comparison fields: 5 of 85
  • Aquatic Science 37
  • Physiology 21
  • Aging 7
  • Endocrinology, Diabetes and Metabolism 56
  • Ophthalmology 30
Replace Maia J. Benner with:
Maia J. Benner United States
Kan-ichi Nakagawara Japan
John R. Ruby United States
Yongkai Tang China
Alessandra Pica Italy
Claudine Pisselet France
Matthew Arterburn United States
Xuequn Chen China
Reggie H. Stevens United States
Jean‐Marc Vanacker France
Brian Brown relative to Maia J. Benner United States Maia J. Benner's profile →
Citations per field
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Maia J. Benner · 1×
Citations per year

Countries citing papers authored by Brian Brown

Since Specialization
Citations

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

Fields of papers citing papers by Brian Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Brian 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 Brian Brown Line = papers co-authored together Brian Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202127
2 202057
3 201811
4 20161
5 201565
6 20072
7 200311
8 200235
9 200047
10 19997
11 199920
12 199815
13 199624
14 19961
15 199516
16 19941
17 198012
18
Pharmacokinetic analysis of neocarzinostatin in normal and tumor-bearing rodents.
19793
19 197565
20
A SPECIFIC SATURATION ASSAY TECHNIQUE FOR SERUM TRIIODOTHYRONINE.
19707

About Brian Brown

Brian Brown is a scholar working on Ophthalmology, Cell Biology, Aquatic Science, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 20 papers that have together received 427 indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neurobiology and Insect Physiology Research (2 papers), Glaucoma and retinal disorders (2 papers), Ophthalmology and Visual Impairment Studies (2 papers), Thyroid Disorders and Treatments (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Aquatic Science (37 citations), Physiology (21 citations), Aging (7 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Ophthalmology (30 citations). Brian Brown has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include R. P. Ekins, Valerie Quinn, William G. Fairbrother, Kamil J. Cygan, K. E. Britton, Hyung Don Ryoo, Deepika Vasudevan, Adelino V. M. Canário, Deborah M. Power and Pedro M. Guerreiro. Their work appears in journals such as Ultrasound in Medicine & Biology, General and Comparative Endocrinology, Optometry and Vision Science, Ophthalmic and Physiological Optics and Nature Communications.

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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