Peter Brown

23 papers receiving 334 citations

Peers

Peter Brown
Comparison fields: 5 of 101
  • Equine 21
  • Small Animals 31
  • Pediatrics, Perinatology and Child Health 71
  • Cognitive Neuroscience 56
  • Speech and Hearing 19
Replace Andrew P. Kurmis with:
Andrew P. Kurmis Australia
Günther Spahn Germany
C.A. Johnson United States
John H. Dirckx United States
Jason Cohen United States
Yoshinori Matsuyama Japan
Julie Jones-Diette United Kingdom
Yonghua Huang China
Christopher McGee United States
Peter Brown relative to Andrew P. Kurmis Australia Andrew P. Kurmis's profile →
Citations per field
00.5×4.4×
Andrew P. Kurmis · 1×
Citations per year

Countries citing papers authored by Peter Brown

Since Specialization
Citations

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

Fields of papers citing papers by Peter Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 200456
3 199349
4 197626
5 198724
6 197822
7 198317
8
Writing Interactive Compilers and Interpreters
197912
9 198811
10 199210
11 20229
12
Sporadic congenital leukonychia with partial phenotype expression.
20007
13 20176
14
PARTIAL LEAST SQUARES IN PERSPECTIVE
19905
15 20215
16 20085
17 20004
18 19764
19 19933
20
Targeting Community Safety Projects: The Use of Geodemographics and GIS in the Identification of Priority Areas for Action
19991

About Peter Brown

Peter Brown is a scholar working on Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, General Health Professions, Emergency Medicine and Gender Studies, having authored 24 papers that have together received 356 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (3 papers), Veterinary Oncology Research (3 papers), Sex and Gender in Healthcare (3 papers), Hematological disorders and diagnostics (2 papers), Healthcare cost, quality, practices (2 papers), Immune Response and Inflammation (2 papers), Nail Diseases and Treatments (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Equine (21 citations), Small Animals (31 citations), Pediatrics, Perinatology and Child Health (71 citations), Cognitive Neuroscience (56 citations) and Speech and Hearing (19 citations). Peter Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include T. S. Mair, F.J. Bourne, Jennifer Currin‐McCulloch, Barbara L. Jones, Wendy Pelletier, Lori Wiener, Ian Masser, P. Asselman, Constantinos Loukas and Alek Pogosyan. Their work appears in journals such as Neurology, Veterinary Record, American Journal of Veterinary Research, Social Work in Health Care and Journal of Small Animal Practice.

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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