George P. Brown

1.6k citations
16 papers · 1.3k indexed · h-index 12
Topics
Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (9 papers)Pain Mechanisms and Treatments (5 papers)
Partner nations
United StatesTaiwan

In The Last Decade

George P. Brown

16 papers receiving 1.3k citations

Peers

George P. Brown
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 942
  • Molecular Biology 829
  • Physiology 346
  • Cognitive Neuroscience 137
  • Neurology 111
Replace Dominique Fage with:
Dominique Fage France
Joseph Stevenson United States
Hideko Yamamoto Japan
Sanjiv V. Bhave United States
William J. Lipinski United States
Charles E. Inturrisi United States
Shinji Matsumura Japan
C. Malgouris France
Tomoya Kitayama Japan
B Tabakoff United States
George P. Brown relative to Dominique Fage France Dominique Fage's profile →
Citations per field
00.5×1.5×
Dominique Fage · 1×
Citations per year

Countries citing papers authored by George P. Brown

Since Specialization
Citations

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

Fields of papers citing papers by George P. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George P. Brown

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 79
3 26
4 343
5 9
6 71
7
3H-morphine-6beta-glucuronide binding in brain membranes and an MOR-1-transfected cell line.
36
8 17
9 138
10 3
11 158
12 28
13 10
14 69
15 177
16 135

About George P. Brown

George P. Brown is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (942 citations), Neurology (111 citations) and Physiology (346 citations). George P. Brown has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Gavril W. Pasternak, Grace C. Rossi, Ravi Iyengar, Shirish Shenolikar, Robert D. Blitzer, Emmanuel M. Landau, Tony E. Wong, John H. Connor, Chih‐Cheng Chien and Kelly M. Standifer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

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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