Sarah E. Brown

37 papers receiving 1.5k citations

Hit Papers

Towards a deeper understanding of the vaginal microbiota 2022 · 205 citations
2050+2+4Years since publication50100150200

Peers

Sarah E. Brown
Comparison fields: 5 of 148
  • Microbiology 421
  • Forestry 72
  • Horticulture 15
  • Rheumatology 141
  • Epidemiology 308
Replace Anthony J. Bjourson with:
Anthony J. Bjourson United Kingdom
Rick White Canada
Kunjie Hua United States
Hongping Zhang China
Susan Sergeant United States
Signe Altmäe Spain
Deborah M. Sloboda Canada
Lars Hamberger Sweden
Thorsten Diemer Germany
B. Runnebaum Germany
Sarah E. Brown relative to Anthony J. Bjourson United Kingdom Anthony J. Bjourson's profile →
Citations per field
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Anthony J. Bjourson · 1×
Citations per year

Countries citing papers authored by Sarah E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
VALENCIA: a nearest centroid classification method for vaginal microbial communities based on composition
Hit paper breakdown →
2020246
2
Towards a deeper understanding of the vaginal microbiota
Hit paper breakdown →
2022205
3 2003202
4 2002143
5 2001135
6 2018101
7 200770
8 201958
9 201657
10 201250
11 201741
12 201939
13 201826
14 201919
15 201219
16 202112
17 20239
18 20228
19 20168
20 20176

About Sarah E. Brown

Sarah E. Brown is a scholar working on Microbiology, Epidemiology, Rheumatology, Molecular Biology and Social Psychology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive tract infections research (16 papers), Urinary Tract Infections Management (12 papers), Pelvic floor disorders treatments (11 papers), Gut microbiota and health (4 papers), Motivation and Self-Concept in Sports (2 papers), Agroforestry and silvopastoral systems (2 papers), Sexual function and dysfunction studies (2 papers) and Survey Methodology and Nonresponse (2 papers). The work is most often cited by research in Microbiology (421 citations), Forestry (72 citations), Horticulture (15 citations), Rheumatology (141 citations) and Epidemiology (308 citations). Sarah E. Brown has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jacques Ravel, Michael France, Bing Ma, J. David Sweatt, Edwin J. Weeber, Madeline Alizadeh, Rebecca M. Brotman, Kathy Baylis, Daniel C. Miller and Pablo J. Ordóñez. Their work appears in journals such as Sexually Transmitted Diseases, PLoS ONE, Journal of Biological Chemistry, Sexually Transmitted Infections and Toxicology.

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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