Amy G. Brown

2.0k citations
35 papers · 1.5k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Amy G. Brown

35 papers receiving 1.5k citations

Hit Papers

Cervicovaginal microbiota and local immune response modulate the risk of spontaneous preterm delivery 2019 · 245 citations
245201920262021202350100150200

Peers

Amy G. Brown
Comparison fields: 5 of 91
  • Microbiology 427
  • Obstetrics and Gynecology 364
  • Epidemiology 790
  • Biological Psychiatry 49
  • Immunology 405
Replace Vasso Terzidou with:
Vasso Terzidou United Kingdom
Sam Schoenmakers Netherlands
José Galaz United States
Ignatia Van den Veyver United States
Annika Idahl Sweden
Dionne P. Robinson United States
Shari E. Gelber United States
Mark Phillippe United States
Dennis Kremer Netherlands
Krzysztof Łukaszuk Poland
Amy G. Brown relative to Vasso Terzidou United Kingdom Vasso Terzidou's profile →
Citations per field
00.5×8.2×
Vasso Terzidou · 1×
Citations per year

Countries citing papers authored by Amy G. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Amy G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202253
2 20219
3 202024
4 201923
5
Cervicovaginal microbiota and local immune response modulate the risk of spontaneous preterm delivery
Hit paper breakdown →
2019245
6 201944
7 201853
8 201816
9 20184
10 201756
11 201732
12 201738
13 201559
14 201472
15 201266
16 201228
17 201152
18 201048
19 200612
20 200480

About Amy G. Brown

Amy G. Brown is a scholar working on Microbiology, Obstetrics and Gynecology, Epidemiology, Behavioral Neuroscience and Rheumatology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (24 papers), Reproductive tract infections research (10 papers), Reproductive System and Pregnancy (8 papers), Neonatal and fetal brain pathology (8 papers), Pelvic floor disorders treatments (8 papers), Pregnancy and preeclampsia studies (7 papers), Neonatal Respiratory Health Research (7 papers) and Pregnancy-related medical research (4 papers). The work is most often cited by research in Microbiology (427 citations), Obstetrics and Gynecology (364 citations), Epidemiology (790 citations), Biological Psychiatry (49 citations) and Immunology (405 citations). Amy G. Brown has collaborated with scholars based in United States and Kazakhstan. Frequent co-authors include Michal A. Elovitz, Lauren Anton, Irina Burd, Jamie Bastek, Valerie Riis, Guillermo Barila, Rita Leite, Monique E. Maubert, Kelsey Breen and Jacques Ravel. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Reproductive Sciences, PLoS ONE, The Journal of Maternal-Fetal & Neonatal Medicine and American Journal of Reproductive Immunology.

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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