R.C. Leite

88 papers receiving 1.0k citations

Peers

R.C. Leite
Comparison fields: 5 of 98
  • Agronomy and Crop Science 331
  • Parasitology 166
  • Immunology 305
  • Microbiology 79
  • Virology 58
Replace E.M.A. van Rooij with:
E.M.A. van Rooij Netherlands
Laura B. Goodman United States
PD Kirkland Australia
Aruna Ambagala Canada
Benoît Muylkens Belgium
Andreas Hlinak Germany
Wooseog Jeong South Korea
Nagendra R. Hegde India
Simone Peletto Italy
Graham Burgess Australia
R.C. Leite relative to E.M.A. van Rooij Netherlands E.M.A. van Rooij's profile →
Citations per field
00.5×3.7×
E.M.A. van Rooij · 1×
Citations per year

Countries citing papers authored by R.C. Leite

Since Specialization
Citations

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

Fields of papers citing papers by R.C. Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.C. Leite. 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 R.C. Leite. The network helps show where R.C. Leite may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201751
2 201349
3 200234
4 199934
5 200728
6 201128
7 201128
8 200527
9 200427
10 201326
11 200625
12 200824
13 201524
14 201223
15 201223
16 201723
17 201421
18 200221
19 201218
20 201618

About R.C. Leite

R.C. Leite is a scholar working on Immunology, Agronomy and Crop Science, Epidemiology, Ecology, Evolution, Behavior and Systematics and Parasitology, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (29 papers), T-cell and Retrovirus Studies (27 papers), Vector-Borne Animal Diseases (19 papers), Herpesvirus Infections and Treatments (14 papers), Virus-based gene therapy research (7 papers), Animal Virus Infections Studies (7 papers), Aquaculture disease management and microbiota (7 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Agronomy and Crop Science (331 citations), Parasitology (166 citations), Immunology (305 citations), Microbiology (79 citations) and Virology (58 citations). R.C. Leite has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Jenner Karlisson Pimenta dos Reis, Henrique César Pereira Figueiredo, Carlos Augusto Gomes Leal, Zélia Inês Portela Lobato, Cristiano Barros de Melo, João Paulo Amaral Haddad, Daniela S. Rajão, Marcos Bryan Heinemann, Jan Albiez and Aurora Maria Guimarães Gouveia. Their work appears in journals such as Revista Brasileira de Parasitologia Veterinária/Brazilian Journal of Veterinary Parasitology, Tropical Animal Health and Production, Journal of Fish Diseases, BMC Veterinary Research and Arquivo Brasileiro de Medicina Veterinária e Zootecnia.

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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