É.A. Costa

70 papers receiving 1.0k citations

Peers

É.A. Costa
Comparison fields: 5 of 87
  • Small Animals 334
  • Endocrinology 100
  • Parasitology 121
  • Agronomy and Crop Science 173
  • Infectious Diseases 252
Replace Carlos Abril with:
Carlos Abril Switzerland
Jarosław Kaba Poland
Fernando Paolicchi Argentina
Aurora Maria Guimarães Gouveia Brazil
Daniel S. Bradway United States
Delia Lacasta Spain
Greg D. Appleyard Canada
Alphons J.A.M. van Asten Netherlands
Jöerg Kinne United Arab Emirates
Andreas Hlinak Germany
É.A. Costa relative to Carlos Abril Switzerland Carlos Abril's profile →
Citations per field
00.5×2.8×
Carlos Abril · 1×
Citations per year

Countries citing papers authored by É.A. Costa

Since Specialization
Citations

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

Fields of papers citing papers by É.A. Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by É.A. Costa. 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 É.A. Costa. The network helps show where É.A. Costa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202197
2 201191
3 200950
4 200948
5 201345
6 201444
7 200943
8 201140
9 201137
10 201035
11 200828
12 201122
13 202021
14 201221
15 201321
16 200221
17 200321
18 201820
19 202220
20 201219

About É.A. Costa

É.A. Costa is a scholar working on Epidemiology, Small Animals, Immunology, Infectious Diseases and Agronomy and Crop Science, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (15 papers), Vector-Borne Animal Diseases (14 papers), Herpesvirus Infections and Treatments (14 papers), Animal Disease Management and Epidemiology (11 papers), T-cell and Retrovirus Studies (10 papers), Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (7 papers) and Salmonella and Campylobacter epidemiology (6 papers). The work is most often cited by research in Small Animals (334 citations), Endocrinology (100 citations), Parasitology (121 citations), Agronomy and Crop Science (173 citations) and Infectious Diseases (252 citations). É.A. Costa has collaborated with scholars based in Brazil, United States and Paraguay. Frequent co-authors include Renato L. Santos, Tatiane A. Paíxão, Mariana N. Xavier, Teane M. A. Silva, Renée M. Tsolis, Luciana Fachini da Costa, Maria Rosa Quaresma Bomfim, Mauro Martins Teixeira, M. Resende and Zélia Inês Portela Lobato. Their work appears in journals such as PLoS ONE, Veterinary Immunology and Immunopathology, Veterinary Microbiology, Veterinary Parasitology and Pathogens.

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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