Sarah E. Brown

41 papers receiving 1.6k citations

Sarah E. Brown's Hit Papers

Towards a deeper understanding of the vaginal microbiota 2022 · 230 citations
2300+2+4Years since publication50100150200250

Peers

Sarah E. Brown
Comparison fields: 5 of 151
  • Microbiology 430
  • Forestry 85
  • Horticulture 17
  • Epidemiology 247
  • Hepatology 57
Replace Alberto Barros with:
Alberto Barros Portugal
David R. Murray Australia
Richard Scott United Kingdom
Shiqing Zhang China
Anthony J. Bjourson United Kingdom
Jaime Mendiola Spain
Erma Z. Drobnis United States
Harumi Jyonouchi United States
B. Runnebaum Germany
Sarah E. Brown relative to Alberto Barros Portugal Alberto Barros's profile →
Citations per field
00.5×10×15.4×
Alberto Barros · 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 46 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 →
2020264
2
Towards a deeper understanding of the vaginal microbiota
Hit paper breakdown →
2022230
3 2003215
4 2002152
5 2001143
6 2018123
7 200777
8 201969
9 201667
10 201251
11 201743
12 201941
13 201826
14 200720
15 201219
16 201919
17 198118
18 202112
19 202310
20 20229

About Sarah E. Brown

Sarah E. Brown is a scholar working on Microbiology, Epidemiology, Rheumatology, Molecular Biology and Social Psychology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive tract infections research (16 papers), Pelvic floor disorders treatments (8 papers), Urinary Tract Infections Management (7 papers), Neuroscience and Neuropharmacology Research (2 papers), Gut microbiota and health (2 papers), Motivation and Self-Concept in Sports (2 papers), Epigenetics and DNA Methylation (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). The work is most often cited by research in Microbiology (430 citations), Forestry (85 citations), Horticulture (17 citations), Epidemiology (247 citations) and Hepatology (57 citations). Sarah E. Brown has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jacques Ravel, Michael France, Bing Ma, Edwin J. Weeber, J. David Sweatt, Madeline Alizadeh, Rebecca M. Brotman, Pablo J. Ordóñez, Daniel C. Miller and Kathy Baylis. Their work appears in journals such as Sexually Transmitted Diseases, PLoS ONE, Sexually Transmitted Infections, Journal of Biological Chemistry and Proceedings of the Royal Society of Edinburgh Section A Mathematics.

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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