Edson E. da Silva

24 papers receiving 456 citations

Peers

Edson E. da Silva
Comparison fields: 5 of 53
  • Infectious Diseases 315
  • Cardiology and Cardiovascular Medicine 375
  • Agronomy and Crop Science 73
  • Epidemiology 171
  • Animal Science and Zoology 45
Replace Pooja R. Patil with:
Pooja R. Patil India
Libi Zhang China
R. W. Sutter United States
H G van der Avoort Netherlands
Hanri Zeng China
Su-Ju Yang United States
Marja-Leena Simonen Finland
N. Stella Cuervo France
Ivanildo P. Sousa Brazil
Gerrit Koen Netherlands
Edson E. da Silva relative to Pooja R. Patil India Pooja R. Patil's profile →
Citations per field
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Citations per year

Countries citing papers authored by Edson E. da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Edson E. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edson E. da 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 Edson E. da Silva. The network helps show where Edson E. da Silva may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995115
2 200558
3 201929
4 199128
5 200527
6 200627
7 202025
8 201921
9 201621
10 199015
11 201914
12 200413
13 200213
14 202112
15 201112
16 199810
17 20188
18 20185
19 20135
20 20165

About Edson E. da Silva

Edson E. da Silva is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Agronomy and Crop Science and Pathology and Forensic Medicine, having authored 24 papers that have together received 473 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (22 papers), Viral gastroenteritis research and epidemiology (15 papers), Cytomegalovirus and herpesvirus research (5 papers), Animal Disease Management and Epidemiology (4 papers), Plant Virus Research Studies (3 papers), Whipple's Disease and Interleukins (3 papers), Polyomavirus and related diseases (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Infectious Diseases (315 citations), Cardiology and Cardiovascular Medicine (375 citations), Agronomy and Crop Science (73 citations), Epidemiology (171 citations) and Animal Science and Zoology (45 citations). Edson E. da Silva has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include Olen M. Kew, Eliane Veiga da Costa, Mick N. Mulders, Galina Lipskaya, Fernanda Marcicano Burlandy, Ivanildo P. Sousa, Hermann G. Schatzmayr, Ana Cecília Ribeiro Cruz, Maria de Lourdes Aguiar Oliveira and Brian P. Holloway. Their work appears in journals such as Viruses, Journal of Clinical Virology, Journal of Medical Virology, Memórias do Instituto Oswaldo Cruz and Emerging infectious 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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