M.S. Freire

415 total citations
10 papers, 317 citations indexed

About

M.S. Freire is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Virology. According to data from OpenAlex, M.S. Freire has authored 10 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 7 papers in Infectious Diseases and 2 papers in Virology. Recurrent topics in M.S. Freire's work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (6 papers) and Viral Infections and Outbreaks Research (5 papers). M.S. Freire is often cited by papers focused on Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (6 papers) and Viral Infections and Outbreaks Research (5 papers). M.S. Freire collaborates with scholars based in Brazil, United States and Venezuela. M.S. Freire's co-authors include Simone M. Costa, Ada M. B. Alves, Ricardo Galler, Alfredo V. Jabor, Marciano Viana Paes, Adriana de Souza Azevedo, Renato Sérgio Marchevsky, Myrna C. Bonaldo, Susana Vázquez and Philippe Caufour and has published in prestigious journals such as Virology, Vaccine and Virus Research.

In The Last Decade

M.S. Freire

9 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.S. Freire Brazil 8 289 259 47 30 25 10 317
Alfredo V. Jabor Brazil 10 248 0.9× 223 0.9× 55 1.2× 38 1.3× 20 0.8× 12 312
Nathan Brown United States 7 283 1.0× 243 0.9× 44 0.9× 16 0.5× 30 1.2× 8 329
Valerie Winkelman United States 8 175 0.6× 176 0.7× 55 1.2× 26 0.9× 11 0.4× 12 290
Júlia M. da Silva Voorham Netherlands 6 323 1.1× 302 1.2× 35 0.7× 26 0.9× 23 0.9× 7 391
Daría Elena Camacho Venezuela 9 340 1.2× 270 1.0× 37 0.8× 14 0.5× 14 0.6× 18 399
Yaremis Romero Cuba 13 375 1.3× 335 1.3× 66 1.4× 18 0.6× 59 2.4× 24 411
Ricardo de Souza Carvalho Brazil 9 267 0.9× 200 0.8× 72 1.5× 46 1.5× 12 0.5× 26 327
Djoko Yuwono United States 8 406 1.4× 343 1.3× 76 1.6× 8 0.3× 17 0.7× 11 500
Edward Gitau Matumbi Mathenge Japan 7 430 1.5× 363 1.4× 56 1.2× 14 0.5× 41 1.6× 8 463
Karen L. Boroughs United States 7 315 1.1× 274 1.1× 29 0.6× 9 0.3× 14 0.6× 11 360

Countries citing papers authored by M.S. Freire

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Freire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Freire. 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 M.S. Freire. The network helps show where M.S. Freire may publish in the future.

Co-authorship network of co-authors of M.S. Freire

This figure shows the co-authorship network connecting the top 25 collaborators of M.S. Freire. A scholar is included among the top collaborators of M.S. Freire 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 M.S. Freire. M.S. Freire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Braga, Marco, et al.. (2025). INTELIGÊNCIA ARTIFICIAL NOS CURSOS A DISTÂNCIA: BENEFÍCIOS E TRANSFORMAÇÕES NO ENSINO. Revista Ibero-Americana de Humanidades, Ciências e Educação. 11(4). 1016–1022.
2.
Freire, M.S., et al.. (2007). Wild dengue virus types 1, 2 and 3 viremia in rhesus monkeys. Memórias do Instituto Oswaldo Cruz. 102(2). 203–208. 21 indexed citations
4.
Mateu, Guaniri, Renato Sérgio Marchevsky, Ferdinando Liprandi, et al.. (2006). Construction and biological properties of yellow fever 17D/dengue type 1 recombinant virus. Transactions of the Royal Society of Tropical Medicine and Hygiene. 101(3). 289–298. 7 indexed citations
5.
Costa, Simone M., M.S. Freire, & Ada M. B. Alves. (2005). DNA vaccine against the non-structural 1 protein (NS1) of dengue 2 virus. Vaccine. 24(21). 4562–4564. 51 indexed citations
6.
Galler, Ricardo, Renato Sérgio Marchevsky, Elena Caride, et al.. (2005). Attenuation and immunogenicity of recombinant yellow fever 17D-dengue type 2 virus for rhesus monkeys. Brazilian Journal of Medical and Biological Research. 38(12). 1835–1846. 19 indexed citations
7.
Freire, M.S., et al.. (2003). Comparative sequence analysis of the P-, M- and L-coding region of the measles virus CAM-70 live attenuated vaccine strain. Brazilian Journal of Medical and Biological Research. 36(11). 1475–1484. 6 indexed citations
8.
Galler, Ricardo, К. В. Пугачев, Cecília L. S. Santos, et al.. (2001). Phenotypic and Molecular Analyses of Yellow Fever 17DD Vaccine Viruses Associated with Serious Adverse Events in Brazil. Virology. 290(2). 309–319. 75 indexed citations
9.
Caufour, Philippe, Susana Vázquez, Alfredo V. Jabor, et al.. (2001). Construction, characterization and immunogenicity of recombinant yellow fever 17D-dengue type 2 viruses. Virus Research. 79(1-2). 1–14. 59 indexed citations
10.
Galler, Ricardo, M.S. Freire, Alfredo V. Jabor, & G.F. Mann. (1997). The yellow fever 17D vaccine virus: molecular basis of viral attenuation and its use as an expression vector. Brazilian Journal of Medical and Biological Research. 30(2). 157–168. 17 indexed citations

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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