M. Resende

37 papers receiving 307 citations

Peers

M. Resende
Comparison fields: 5 of 47
  • Animal Science and Zoology 139
  • Virology 51
  • Parasitology 47
  • Agronomy and Crop Science 55
  • Infectious Diseases 98
Replace Kristin Heenemann with:
Kristin Heenemann Germany
Sylvie Gueguen France
Michaela Alex Germany
Carina L. Carvalho Portugal
G. Manarolla Italy
Kotaro Tuchiya Japan
G. L. Kok Netherlands
Fadhel Housawi Saudi Arabia
Glen Gifford Canada
Adolf Steinrigl Austria
M. Resende relative to Kristin Heenemann Germany Kristin Heenemann's profile →
Citations per field
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Kristin Heenemann · 1×
Citations per year

Countries citing papers authored by M. Resende

Since Specialization
Citations

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

Fields of papers citing papers by M. Resende

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200828
2 201124
3 201319
4 200916
5 199915
6 201115
7 200614
8 201913
9 201513
10 200912
11 200912
12 201412
13 201110
14 20149
15 20168
16 20158
17 20087
18 20087
19 20116
20 20096

About M. Resende

M. Resende is a scholar working on Epidemiology, Animal Science and Zoology, Infectious Diseases, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 38 papers that have together received 319 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (18 papers), Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (10 papers), T-cell and Retrovirus Studies (8 papers), Vector-Borne Animal Diseases (7 papers), Viral Infections and Immunology Research (5 papers), Virus-based gene therapy research (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Animal Science and Zoology (139 citations), Virology (51 citations), Parasitology (47 citations), Agronomy and Crop Science (55 citations) and Infectious Diseases (98 citations). M. Resende has collaborated with scholars based in Brazil, United States and Sweden. Frequent co-authors include Nélson Rodrigo da Silva Martins, É.A. Costa, Flávio Guimarães da Fonseca, Fabiana Magalhães Coelho, Maria Rosa Quaresma Bomfim, Roselene Ecco, Márcia Rogéria de Almeida, Luíz Alexandre Peternelli, Abelardo Silva‐Júnior and Aurora Maria Guimarães Gouveia. Their work appears in journals such as Avian Diseases, Veterinary Research Communications, Italian Journal of Animal Science, Arquivo Brasileiro de Medicina Veterinária e Zootecnia and Journal of Wildlife 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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