Jane Brown

1.8k citations
26 papers · 1.5k · h-index 16

Impact in

Papers in

Jane Brown

25 papers receiving 1.4k citations

Peers

Jane Brown
Comparison fields: 5 of 95
  • Immunology and Allergy 131
  • Endocrinology, Diabetes and Metabolism 418
  • Oncology 153
  • General Health Professions 127
  • Economics and Econometrics 144
Replace Sharon Hensley Alford with:
Sharon Hensley Alford United States
Donald W. Morrish Canada
Andrew F. Mooney United Kingdom
Haoling Holly Weng United States
Amy M. DeLozier United States
Michael A. LeNoir United States
Emek Kocatürk Türkiye
Rasheed Gbadegesin United States
Louis‐Philippe Boulet Canada
Annette Wigertz Sweden
Jane Brown relative to Sharon Hensley Alford United States Sharon Hensley Alford's profile →
Citations per field
00.5×5×10×17.4×
Sharon Hensley Alford · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019225
2 2000188
3 2007184
4 1992182
5 1997174
6 199897
7 200866
8 199859
9 200558
10 200351
11 200439
12 200033
13 200531
14 199128
15
Expression of the A-raf proto-oncogene in the normal adult and embryonic mouse.
200028
16 197422
17 199215
18 202114
19 201011
20 20255

About Jane Brown

Jane Brown is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Immunology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Diabetes Management and Education (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Complement system in diseases (2 papers), Renal cell carcinoma treatment (1 paper), Schizophrenia research and treatment (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Immunology and Allergy (131 citations), Endocrinology, Diabetes and Metabolism (418 citations), Oncology (153 citations), General Health Professions (127 citations) and Economics and Econometrics (144 citations). Jane Brown has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Russell E. Glasgow, Deborah J. Toobert, Sarah E. Hampson, Susan M. Giblett, Peter M. Lewinsohn, Catrin A. Pritchard, Matthew C. Riddle, Pierre-Andre La Chance, Edward G. Feil and H Garth McKay. Their work appears in journals such as Patient Education and Counseling, Genetics Research, Thrombosis and Haemostasis, Diabetes Care and European Journal of Pharmacology.

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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