Valéria Dutra

2.2k citations
183 papers · 1.5k indexed · h-index 21
Topics
Microbial infections and disease research (29 papers)Vector-borne infectious diseases (28 papers)Infectious Diseases and Mycology (23 papers)

In The Last Decade

Valéria Dutra

177 papers receiving 1.4k citations

Peers

Valéria Dutra
Comparison fields: 5 of 88
  • Epidemiology 562
  • Infectious Diseases 552
  • Parasitology 447
  • Public Health, Environmental and Occupational Health 289
  • Small Animals 238
Replace Luciano Nakazato with:
Luciano Nakazato Brazil
Elena Grego Italy
Richard K. Hoop Switzerland
R. C. Tustin South Africa
Alma Roy United States
D. Elad Israel
Delia Lacasta Spain
Marco Pittau Italy
Daniel S. Bradway United States
László Makrai Hungary
Valéria Dutra relative to Luciano Nakazato Brazil Luciano Nakazato's profile →
Citations per field
00.5×1.5×
Luciano Nakazato · 1×
Citations per year

Countries citing papers authored by Valéria Dutra

Since Specialization
Citations

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

Fields of papers citing papers by Valéria Dutra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valéria Dutra

This figure shows the co-authorship network connecting the top 25 collaborators of Valéria Dutra. A scholar is included among the top collaborators of Valéria Dutra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valéria Dutra. Valéria Dutra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 1
5 3
6 2
7 5
8 1
9 11
10 2
11 8
12 4
13 15
14 1
15 6
16 9
17 4
18 18
19 23
20 22

About Valéria Dutra

Valéria Dutra is a scholar working on Microbiology, Parasitology and Microbiology, having authored 183 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial infections and disease research (29 papers), Vector-borne infectious diseases (28 papers) and Infectious Diseases and Mycology (23 papers). The work is most often cited by research in Microbiology (55 citations), Parasitology (447 citations) and Small Animals (238 citations). Valéria Dutra has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Luciano Nakazato, Valéria Régia Franco Sousa, Daphine Ariadne Jesus de Paula, Édson Moleta Colodel, Augusto Schrank, Daniel Moura de Aguiar, Richard de Campos Pacheco, Andréia Lima Tomé Melo, Arleana do Bom Parto Ferreira de Almeida and Marilene Henning Vainstein. Their work appears in journals such as Applied Microbiology and Biotechnology, Meat Science and Microbes and Infection.

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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