Christopher Browne

72 papers receiving 1.8k citations

Peers

Christopher Browne
Comparison fields: 5 of 158
  • Behavioral Neuroscience 128
  • Endocrine and Autonomic Systems 157
  • Cellular and Molecular Neuroscience 369
  • Endocrinology, Diabetes and Metabolism 327
  • Spectroscopy 264
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Shenggen Yao Australia
David B. Friedman United States
Andreas Braun Germany
Eun Young Song South Korea
Patrick J. Murphy United States
Philip H. Pétra United States
Michael Holmes New Zealand
Meera Srivastava United States
Honggang Li China
Hugh Mitchell United States
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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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981230
2 1982215
3 1980187
4 198479
5 198171
6 201448
7 198146
8 198744
9 198143
10 198543
11 198942
12 197642
13 198242
14 198238
15 197937
16 202136
17 198336
18 198830
19 200729
20 202128

About Christopher Browne

Christopher Browne is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Biomedical Engineering, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Receptor Mechanisms and Signaling (6 papers), Island Studies and Pacific Affairs (6 papers), Birth, Development, and Health (5 papers), Analytical Chemistry and Chromatography (4 papers), Hypothalamic control of reproductive hormones (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Behavioral Neuroscience (128 citations), Endocrine and Autonomic Systems (157 citations), Cellular and Molecular Neuroscience (369 citations), Endocrinology, Diabetes and Metabolism (327 citations) and Spectroscopy (264 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, G. D. Thorburn, Sam Mesiano, I. R. Young, Sujit S. Datta, C. L. Coulter, I. C. McMillen and Yunzhi Yang. Their work appears in journals such as Endocrinology, Journal of Endocrinology, Analytical Biochemistry, Proceedings of the National Academy of Sciences and Biochemistry.

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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