Sarah E. Brown

39 papers receiving 1.5k citations

Sarah E. Brown's Hit Papers

Towards a deeper understanding of the vaginal microbiota 2022 · 260 citations
2600+2+4Years since publication100200300

Peers

Sarah E. Brown
Comparison fields: 5 of 92
  • Microbiology 434
  • Forestry 76
  • Nutrition and Dietetics 82
  • Hepatology 54
  • Horticulture 2
Replace Antonio Monaco with:
Antonio Monaco Italy
Nancy A. Klein United States
D. J. Mellor New Zealand
Chih‐Cheng Chang Taiwan
Jorge Ten Spain
Rafael Bernabéu Spain
Rima Naginienė Lithuania
Liang Liang United States
Pilar Vigil P Chile
Alexandra R. Sitarik United States
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Citations per field
00.5×5×10×14.5×
Antonio Monaco · 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 44 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 →
2020310
2
Towards a deeper understanding of the vaginal microbiota
Hit paper breakdown →
2022260
3 2002154
4 2001143
5 2018129
6 200777
7 201677
8 201973
9 201251
10 201747
11 201945
12 201827
13 201222
14 201921
15 202113
16 202311
17 20169
18 20179
19 20209
20 20229

About Sarah E. Brown

Sarah E. Brown is a scholar working on Microbiology, Conservation, Nutrition and Dietetics, Forestry and Geriatrics and Gerontology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive tract infections research (16 papers), Art Therapy and Mental Health (2 papers), Survey Methodology and Nonresponse (2 papers), Psychosocial Factors Impacting Youth (1 paper), Literacy, Media, and Education (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Malaria Research and Control (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Microbiology (434 citations), Forestry (76 citations), Nutrition and Dietetics (82 citations), Hepatology (54 citations) and Horticulture (2 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, Madeline A. Alizadeh, Rebecca M. Brotman, Daniel C. Miller, J. David Sweatt, Kathy Baylis, Edwin J. Weeber and Pablo J. Ordóñez. Their work appears in journals such as Sexually Transmitted Diseases, PLoS ONE, Sexually Transmitted Infections, Journal of Biological Chemistry and Innovation in Aging.

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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