Raphael Trevizani

433 citations
13 papers · 240 · 1 hit paper · h-index 7

Impact in

Papers in

    • vaccines and immunoinformatics approaches 4
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1

Raphael Trevizani

12 papers receiving 239 citations

Raphael Trevizani's Hit Papers

The receiver operating characteristic curve accurately assesses imbalanced datasets 2024 · 74 citations
740+1Years since publication204060

Peers

Raphael Trevizani
Comparison fields: 5 of 90
  • Biotechnology 29
  • Public Health, Environmental and Occupational Health 53
  • Molecular Biology 116
  • Virology 7
  • Insect Science 12
Replace Yuting Zhang with:
Yuting Zhang China
Atul Kumar Upadhyay India
Carlos Mario Genes Robles Spain
Rodrigo Carvajal Chile
Young-hoon Kim South Korea
Hendrik Weisser United Kingdom
Oommen K. Mathew India
Joon Young Jung South Korea
Katrin Schütte Belgium
Nahid Rahman United Kingdom
Raphael Trevizani relative to Yuting Zhang China Yuting Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raphael Trevizani

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Trevizani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202176
2
The receiver operating characteristic curve accurately assesses imbalanced datasets
Hit paper breakdown →
202474
3 202422
4 201716
5
Antinociceptive activity of the essential oil and fractions of pterodon emarginatus vogel seeds
200814
6 202114
7 20227
8 20056
9 20224
10 20253
11 20252
12 20052
13 20250

About Raphael Trevizani

Raphael Trevizani is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Insect Science and Infectious Diseases, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunotherapy and Immune Responses (2 papers), Diptera species taxonomy and behavior (1 paper), T-cell and B-cell Immunology (1 paper), Biological Stains and Phytochemicals (1 paper), Insect behavior and control techniques (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Biotechnology (29 citations), Public Health, Environmental and Occupational Health (53 citations), Molecular Biology (116 citations), Virology (7 citations) and Insect Science (12 citations). Raphael Trevizani has collaborated with scholars based in Brazil, United States and Denmark. Frequent co-authors include Tatiana de Arruda Campos Brasil de Souza, Morten Nielsen, Bjoern Peters, Jason Greenbaum, Eve Richardson, Hannah Carter, Fábio Lima Custódio, Rafael C. Dutra, Nádia R. Barbosa and Karina B. Santos. Their work appears in journals such as Briefings in Bioinformatics, Cell, PLoS ONE, Nucleic Acids Research and Biomedicine & Pharmacotherapy.

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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