Renata Cabral

403 citations
7 papers · 125 · h-index 4

Impact in

Papers in

Renata Cabral

7 papers receiving 123 citations

Peers

Renata Cabral
Comparison fields: 5 of 29
  • Infectious Diseases 78
  • Public Health, Environmental and Occupational Health 101
  • Modeling and Simulation 9
  • Endocrinology 7
  • Epidemiology 45
Replace Rafael A. De La Barrera with:
Rafael A. De La Barrera United States
Denise Cotrim da Cunha Brazil
Benjamin Madeux Guadeloupe
Marilianna Márquez Venezuela
Raquel Pimentel United States
Ludmila Lobkowicz United Kingdom
Carlos Pacheco Colombia
Ana Elisa Rodrigues Baião Brazil
Rafael Alves da Silva Brazil
Martha Lucía Ospina Martínez Colombia
Renata Cabral relative to Rafael A. De La Barrera United States Rafael A. De La Barrera's profile →
Citations per field
00.5×1.5×1.8×
Rafael A. De La Barrera · 1×
Citations per year

Countries citing papers authored by Renata Cabral

Since Specialization
Citations

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

Fields of papers citing papers by Renata Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Renata Cabral, 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 Renata Cabral Line = papers co-authored together Renata Cabral links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201951
2 201642
3 201815
4 200810
5 20113
6 20193
7 20111

About Renata Cabral

Renata Cabral is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Pediatrics, Perinatology and Child Health, Epidemiology and Physiology, having authored 7 papers that have together received 125 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), HIV/AIDS Research and Interventions (2 papers), HIV/AIDS oral health manifestations (2 papers), Global Maternal and Child Health (2 papers), Virology and Viral Diseases (2 papers), Malaria Research and Control (1 paper), Salmonella and Campylobacter epidemiology (1 paper) and Ectopic Pregnancy Diagnosis and Management (1 paper). The work is most often cited by research in Infectious Diseases (78 citations), Public Health, Environmental and Occupational Health (101 citations), Modeling and Simulation (9 citations), Endocrinology (7 citations) and Epidemiology (45 citations). Renata Cabral has collaborated with scholars based in Brazil, Germany and Russia. Frequent co-authors include Carlos Brites, Manoel Sarno, Jan Felix Drexler, Célia Pedroso, Andrés Moreira‐Soto, Estela Luz, Eduardo Martins Netto, Beate M. Kümmerer, Carlo Fischer and Alexandra Rockstroh. Their work appears in journals such as Eurosurveillance, mSphere, Ultrasound in Obstetrics and Gynecology, Emerging infectious diseases and International Journal of Gynecology & Obstetrics.

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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