Jane Brown

1.8k citations
21 papers · 1.2k · h-index 15

Impact in

Papers in

Jane Brown

19 papers receiving 1.1k citations

Peers

Jane Brown
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 434
  • Immunology and Allergy 133
  • Pharmacy 49
  • General Health Professions 243
  • Cell Biology 138
Replace Ewa Jassem with:
Ewa Jassem Poland
Marieke de Vries Netherlands
Timothy L. McAuliffe United States
Liyue Tong United States
Philip M. Rosoff United States
Rebecca Bowen United Kingdom
W. Bergman Netherlands
Amy Mulick United Kingdom
Georgia M. Dunston United States
Jennifer A. Locke Canada
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Citations per field
00.5×8.5×
Ewa Jassem · 1×
Citations per year

Countries citing papers authored by Jane Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jane Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992183
2 2007178
3 2000175
4 1997167
5 199896
6 200863
7 199859
8 200556
9 200348
10 200438
11 200034
12 200530
13
Expression of the A-raf proto-oncogene in the normal adult and embryonic mouse.
200028
14 199125
15 197418
16 199212
17 201010
18 19922
19
Continence. Help is only a call away.
19891
20 20220

About Jane Brown

Jane Brown is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Clinical Psychology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Diabetes Management and Education (3 papers), Complement system in diseases (2 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Diabetes and associated disorders (2 papers), Cellular Mechanics and Interactions (2 papers) and Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (434 citations), Immunology and Allergy (133 citations), Pharmacy (49 citations), General Health Professions (243 citations) and Cell Biology (138 citations). Jane Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Russell E. Glasgow, Deborah J. Toobert, Sarah E. Hampson, Peter M. Lewinsohn, Catrin Pritchard, Matthew C. Riddle, Susan Giblett, Edward G. Feil, Xiaohong Zhou and Sarah Kinston. Their work appears in journals such as Patient Education and Counseling, The Diabetes Educator, Genetics Research, Journal of Neural Transmission and Thrombosis and Haemostasis.

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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