Edson E. da Silva

25 papers receiving 482 citations

Peers

Edson E. da Silva
Comparison fields: 5 of 47
  • Cardiology and Cardiovascular Medicine 400
  • Infectious Diseases 290
  • Agronomy and Crop Science 68
  • Epidemiology 150
  • Animal Science and Zoology 40
Replace R. W. Sutter with:
R. W. Sutter United Kingdom
Mariana Combiescu Romania
Su-Ju Yang United States
Т. П. Еремеева Russia
Chen-Fu Yang United States
Yuan-Pin Huang Taiwan
Fernanda Marcicano Burlandy Brazil
G. A. Koroleva Russia
Erika Bujáki United Kingdom
Ivanildo P. Sousa Brazil
Edson E. da Silva relative to R. W. Sutter United Kingdom R. W. Sutter'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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995133
2 200560
3 199131
4 201930
5 200630
6 200528
7 202026
8 201621
9 201921
10 201916
11 199016
12 200413
13 202113
14 200213
15 201112
16 199811
17 20188
18 20058
19 20186
20 20135

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 Plant Science, having authored 26 papers that have together received 517 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (22 papers), Viral gastroenteritis research and epidemiology (12 papers), Animal Disease Management and Epidemiology (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Plant Virus Research Studies (3 papers), Polyomavirus and related diseases (2 papers), T-cell and Retrovirus Studies (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (400 citations), Infectious Diseases (290 citations), Agronomy and Crop Science (68 citations), Epidemiology (150 citations) and Animal Science and Zoology (40 citations). Edson E. da Silva has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include Olen M. Kew, Galina Lipskaya, Mick N. Mulders, Eliane Veiga da Costa, Fernanda Marcicano Burlandy, Ivanildo P. Sousa, Hermann G. Schatzmayr, Ana Cecília Ribeiro Cruz, Maria de Lourdes Aguiar Oliveira and Mark A. Pallansch. Their work appears in journals such as Viruses, Journal of Clinical Virology, Journal of Medical Virology, Emerging infectious diseases and Memórias do Instituto Oswaldo Cruz.

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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