Allison Fabri

4 papers receiving 928 citations

Allison Fabri's Hit Papers

Detection and sequencing of Zika virus from amniotic fluid of fetuses with microcephaly in Brazil: a case study 2016 · 831 citations
8310+3+6Years since publication250500750

Peers

Allison Fabri
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 795
  • Infectious Diseases 504
  • Modeling and Simulation 69
  • Epidemiology 234
  • Obstetrics and Gynecology 42
Replace Priscila M. S. Castanha with:
Priscila M. S. Castanha Brazil
Marcos César Lima de Mendonça Brazil
Preetha Iyengar United States
Essi M. Korhonen Finland
Eliane Saraiva Machado de Araújo Brazil
Rafael Dhália Brazil
Laure Baudouin France
Lev Levanov Finland
Andrew K. Hennenfent United States
Suvi Kuivanen Finland
Allison Fabri relative to Priscila M. S. Castanha Brazil Priscila M. S. Castanha's profile →
Citations per field
00.5×6.8×
Priscila M. S. Castanha · 1×
Citations per year

Countries citing papers authored by Allison Fabri

Since Specialization
Citations

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

Fields of papers citing papers by Allison Fabri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1
Detection and sequencing of Zika virus from amniotic fluid of fetuses with microcephaly in Brazil: a case study
Hit paper breakdown →
2016831
2 201760
3 202058
4 20223

About Allison Fabri

Allison Fabri is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Insect Science, Organic Chemistry and Surgery, having authored 4 papers that have together received 952 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (2 papers), Malaria Research and Control (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (795 citations), Infectious Diseases (504 citations), Modeling and Simulation (69 citations), Epidemiology (234 citations) and Obstetrics and Gynecology (42 citations). Allison Fabri has collaborated with scholars based in Brazil, South Africa and United States. Frequent co-authors include Patrícia Carvalho de Sequeira, Ana María Bispo de Filippis, Eliane Saraiva Machado de Araújo, Marcos César Lima de Mendonça, Rita Maria Ribeiro Nogueira, Guilherme Amaral Calvet, Simone Alves Sampaio, Patrícia Brasil, Louisi de Oliveira and Carlos G. Schrago. Their work appears in journals such as PLoS ONE, Parasites & Vectors, Microbiology Spectrum and The Lancet Infectious Diseases.

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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