Marisa Machado

25 total papers · 632 total citations
16 papers, 503 citations indexed

About

Marisa Machado is a scholar working on Plant Science, Public Health, Environmental and Occupational Health and Food Science. According to data from OpenAlex, Marisa Machado has authored 16 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Food Science. Recurrent topics in Marisa Machado's work include Research on Leishmaniasis Studies (6 papers), Essential Oils and Antimicrobial Activity (5 papers) and Parasitic Infections and Diagnostics (4 papers). Marisa Machado is often cited by papers focused on Research on Leishmaniasis Studies (6 papers), Essential Oils and Antimicrobial Activity (5 papers) and Parasitic Infections and Diagnostics (4 papers). Marisa Machado collaborates with scholars based in Portugal, India and Brazil. Marisa Machado's co-authors include Maria do Céu Sousa, Carlos Cavaleiro, Lı́gia Salgueiro, Alexandra Dinis, José B.A. Custódio, Vera Alves, Manuel Santos-Rosa, Augusto M. Dinis, Pedro Pires and Giani F. Santoro and has published in prestigious journals such as Molecules, Applied Sciences and Veterinary Parasitology.

In The Last Decade

Marisa Machado

15 papers receiving 485 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marisa Machado 256 190 128 89 71 16 503
Luiz Gustavo L. Guimarães 315 1.2× 259 1.4× 83 0.6× 90 1.0× 39 0.5× 15 618
Giani F. Santoro 210 0.8× 178 0.9× 98 0.8× 105 1.2× 40 0.6× 8 461
Graciomar Conceição Costa 210 0.8× 182 1.0× 121 0.9× 67 0.8× 26 0.4× 18 526
Zurainee Mohamed Nor 197 0.8× 119 0.6× 156 1.2× 77 0.9× 66 0.9× 34 535
Fabiana Lima Silva 175 0.7× 121 0.6× 205 1.6× 76 0.9× 102 1.4× 19 578
Maria José dos Santos Soares 134 0.5× 150 0.8× 64 0.5× 115 1.3× 41 0.6× 28 481
Izabel Cristina Piloto Ferreira 211 0.8× 97 0.5× 212 1.7× 141 1.6× 22 0.3× 21 558
Ricardo Scher 228 0.9× 179 0.9× 140 1.1× 98 1.1× 26 0.4× 40 492
Marley García 277 1.1× 147 0.8× 244 1.9× 91 1.0× 29 0.4× 16 487
José Luiz P. Ferreira 323 1.3× 172 0.9× 83 0.6× 142 1.6× 16 0.2× 35 576

Countries citing papers authored by Marisa Machado

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisa Machado. 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 Marisa Machado. The network helps show where Marisa Machado may publish in the future.

Co-authorship network of co-authors of Marisa Machado

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

All Works

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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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