Marcelo Dutra Arbo

124 total papers · 2.0k total citations
74 papers, 1.3k citations indexed

About

Marcelo Dutra Arbo is a scholar working on Plant Science, Pharmacology and Cancer Research. According to data from OpenAlex, Marcelo Dutra Arbo has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 14 papers in Pharmacology and 12 papers in Cancer Research. Recurrent topics in Marcelo Dutra Arbo's work include Carcinogens and Genotoxicity Assessment (11 papers), Pesticide Exposure and Toxicity (10 papers) and Forensic Toxicology and Drug Analysis (9 papers). Marcelo Dutra Arbo is often cited by papers focused on Carcinogens and Genotoxicity Assessment (11 papers), Pesticide Exposure and Toxicity (10 papers) and Forensic Toxicology and Drug Analysis (9 papers). Marcelo Dutra Arbo collaborates with scholars based in Brazil, Portugal and United States. Marcelo Dutra Arbo's co-authors include Solange Cristina García, Maria de Lourdes Bastos, Helena Carmo, Mirna Bainy Leal, Eliane Dallegrave, Renata Pereira Limberger, Larissa Vivan Cestonaro, Mariele Feiffer Charão, Diana Dias da Silva and Gabriela Göethel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and Food and Chemical Toxicology.

In The Last Decade

Marcelo Dutra Arbo

71 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Marcelo Dutra Arbo 242 202 195 176 170 74 1.3k
Irving Sunshine 235 1.0× 178 0.9× 125 0.6× 299 1.7× 182 1.1× 111 1.8k
M. Repetto 202 0.8× 129 0.6× 201 1.0× 281 1.6× 67 0.4× 82 1.5k
Charles L. Winek 239 1.0× 207 1.0× 128 0.7× 521 3.0× 188 1.1× 95 1.7k
Abir T. El‐Alfy 296 1.2× 531 2.6× 333 1.7× 76 0.4× 136 0.8× 40 1.4k
Takashi Hakamatsuka 618 2.6× 358 1.8× 352 1.8× 183 1.0× 255 1.5× 114 1.7k
Yvan Gaillard 281 1.2× 231 1.1× 122 0.6× 507 2.9× 205 1.2× 86 1.7k
Fumiko Nagai 438 1.8× 93 0.5× 114 0.6× 196 1.1× 122 0.7× 45 1.4k
Alain Turcant 166 0.7× 154 0.8× 65 0.3× 222 1.3× 134 0.8× 98 1.3k
R A Braithwaite 199 0.8× 612 3.0× 73 0.4× 334 1.9× 177 1.0× 79 1.8k
L.A. Woods 410 1.7× 165 0.8× 95 0.5× 129 0.7× 203 1.2× 66 1.5k

Countries citing papers authored by Marcelo Dutra Arbo

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Dutra Arbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Dutra Arbo. 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 Dutra Arbo. The network helps show where Marcelo Dutra Arbo may publish in the future.

Co-authorship network of co-authors of Marcelo Dutra Arbo

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Dutra Arbo. A scholar is included among the top collaborators of Marcelo Dutra Arbo 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 Dutra Arbo. Marcelo Dutra Arbo 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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2026