Marcelo S. da Silva

1.2k citations
44 papers · 752 indexed · h-index 18
Topics
Research on Leishmaniasis Studies (26 papers)Trypanosoma species research and implications (24 papers)Biochemical and Molecular Research (9 papers)

In The Last Decade

Marcelo S. da Silva

43 papers receiving 746 citations

Peers

Marcelo S. da Silva
Comparison fields: 5 of 112
  • Molecular Biology 337
  • Epidemiology 311
  • Public Health, Environmental and Occupational Health 247
  • Physiology 106
  • Organic Chemistry 93
Replace Lisa Sharling with:
Lisa Sharling United States
Marcelo Rosado Fantappíé Brazil
Vinícius Santana Nunes Brazil
J Hanocq-Quertier Belgium
Geoffrey M. Kapler United States
David L. Fouts United States
Betina M. Porcel France
Noelia Lander United States
Miriam Sutovsky United States
Paul N. Ulrich United States
Marcelo S. da Silva relative to Lisa Sharling United States Lisa Sharling's profile →
Citations per field
00.5×6.9×
Lisa Sharling · 1×
Citations per year

Countries citing papers authored by Marcelo S. da Silva

Since Specialization
Citations

This map shows the geographic impact of Marcelo S. 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 Marcelo S. 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 Marcelo S. da Silva more than expected).

Fields of papers citing papers by Marcelo S. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo S. da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo S. da Silva. A scholar is included among the top collaborators of Marcelo S. da 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 Marcelo S. da Silva. Marcelo S. da 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
#WorkIndexed citations
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3 10
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5 22
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8 9
9 15
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11 26
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20 115

About Marcelo S. da Silva

Marcelo S. da Silva is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 44 papers that have together received 752 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (26 papers), Trypanosoma species research and implications (24 papers) and Biochemical and Molecular Research (9 papers). The work is most often cited by research in Aging (41 citations), Parasitology (78 citations) and Epidemiology (311 citations). Marcelo S. da Silva has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Maria Carolina Elias, Maria Isabel Nogueira Cano, Vinícius Santana Nunes, Marcela Segatto, Elton J. R. Vasconcelos, Miriam A. Giardini, J. P. Monteiro, Raphael Pavani, Carlos Renato Machado and Richard McCulloch. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Cell Science.

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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