Christopher Browne

77 papers receiving 1.8k citations

Peers

Christopher Browne
Comparison fields: 5 of 158
  • Behavioral Neuroscience 133
  • Endocrine and Autonomic Systems 167
  • Cellular and Molecular Neuroscience 393
  • Endocrinology, Diabetes and Metabolism 331
  • Reproductive Medicine 141
Replace Francis J. Morgan with:
Francis J. Morgan Australia
GÉRARD MILHAUD France
Hiroyuki Oshima Japan
David B. Friedman United States
Patrick J. Murphy United States
William L. Miller United States
Ying Yu China
Jianmin Wang United States
Akio Yamashita Japan
Tingting Liu China
Christopher Browne relative to Francis J. Morgan Australia Francis J. Morgan's profile →
Citations per field
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Francis J. Morgan · 1×
Citations per year

Countries citing papers authored by Christopher Browne

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981241
2 1982224
3 1980198
4 198488
5 198176
6 198154
7 198753
8 201449
9 198148
10 198247
11 198946
12 198545
13 197942
14 197642
15 198241
16 202141
17 198339
18 198830
19 200729
20 198928

About Christopher Browne

Christopher Browne is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Fluid Flow and Transfer Processes, Nutrition and Dietetics and Demography, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Receptor Mechanisms and Signaling (6 papers), Island Studies and Pacific Affairs (6 papers), Analytical Chemistry and Chromatography (5 papers), Rheology and Fluid Dynamics Studies (5 papers), Birth, Development, and Health (5 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Behavioral Neuroscience (133 citations), Endocrine and Autonomic Systems (167 citations), Cellular and Molecular Neuroscience (393 citations), Endocrinology, Diabetes and Metabolism (331 citations) and Reproductive Medicine (141 citations). Christopher Browne has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include H.P.J. Bennett, Samuel Solomon, Samuel G. Solomon, Geoffrey D. Thorburn, Sam A. Mesiano, Sujit Sankar Datta, IAN R. YOUNG, David Mark Robertson, D.M. de Kretser and Mark Peter Hedger. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Journal of Endocrinology, Analytical Biochemistry and Journal of Fluid Mechanics.

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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