Mariana Sá e Silva

617 total citations
29 papers, 458 citations indexed

About

Mariana Sá e Silva is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Mariana Sá e Silva has authored 29 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 10 papers in Agronomy and Crop Science and 8 papers in Infectious Diseases. Recurrent topics in Mariana Sá e Silva's work include Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (10 papers) and Herpesvirus Infections and Treatments (5 papers). Mariana Sá e Silva is often cited by papers focused on Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (10 papers) and Herpesvirus Infections and Treatments (5 papers). Mariana Sá e Silva collaborates with scholars based in United States, Brazil and Spain. Mariana Sá e Silva's co-authors include David E. Swayne, Águeda Castagna de Vargas, Eduardo Furtado Flores, Mateus Matiuzzi da Costa, Rudi Weiblen, Kateri Bertran, Mário Celso Sperotto Brum, Gail Henderson, Clinton Jones and Sumin Li and has published in prestigious journals such as Journal of Virology, Vaccine and Current Microbiology.

In The Last Decade

Mariana Sá e Silva

29 papers receiving 438 citations

Peers

Mariana Sá e Silva
Comparison fields: 5 of 66
  • Epidemiology 276
  • Agronomy and Crop Science 128
  • Infectious Diseases 80
  • Food Science 71
  • Animal Science and Zoology 66
Replace Gerrit J. Viljoen with:
Gerrit J. Viljoen Austria
Neil Dyer United States
Ahmed Zaghawa Egypt
Grant Rawlin Australia
V. S. Vihan India
Zhaocai Li China
Qingling Meng China
Ashwani Tiwari Canada
Jun Kwon South Korea
Valeriana Colao Italy
Gerrit J. Viljoen Austria View profile →
Citations per field, relative to Mariana Sá e Silva
Mariana Sá e Silva · 1×
Citations per year, relative to Mariana Sá e Silva
Mariana Sá e Silva · 1×

Countries citing papers authored by Mariana Sá e Silva

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Sá e Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana Sá e Silva. 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 Mariana Sá e Silva. The network helps show where Mariana Sá e Silva may publish in the future.

Co-authorship network of co-authors of Mariana Sá e Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Sá e Silva. A scholar is included among the top collaborators of Mariana Sá e Silva 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 Mariana Sá e Silva. Mariana Sá e Silva 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
# Work Indexed citations
1 11
2 8
3 15
4 22
5 6
6 21
7 17
8 2
9 20
10 13
11 8
12 21
13 14
14 12
15 7
16 4
17 6
18
Probiótico com levedura na alimentação da tilápia do Nilo, durante o período de reversão sexual, cultivada em água de tanque de cultivo
4
19 2
20 8

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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