Marcela Rosato

45 total papers · 793 total citations
41 papers, 612 citations indexed

About

Marcela Rosato is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Marcela Rosato has authored 41 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 16 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Marcela Rosato's work include Chromosomal and Genetic Variations (32 papers), Plant Disease Resistance and Genetics (11 papers) and Plant Taxonomy and Phylogenetics (10 papers). Marcela Rosato is often cited by papers focused on Chromosomal and Genetic Variations (32 papers), Plant Disease Resistance and Genetics (11 papers) and Plant Taxonomy and Phylogenetics (10 papers). Marcela Rosato collaborates with scholars based in Spain, Argentina and Italy. Marcela Rosato's co-authors include Josep A. Rosselló, M. J. Puertas, Lidia Poggio, José Galián, C. A. Naranjo, M. González-Sánchez, Gonzalo Nieto Feliner, Inés Álvarez, Silvia Manzanero and Aleš Kovařı́k and has published in prestigious journals such as PLoS ONE, Genetics and Frontiers in Plant Science.

In The Last Decade

Marcela Rosato

39 papers receiving 604 citations

Author Peers

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

Author Last Decade Papers Cites
Marcela Rosato 536 269 191 151 26 41 612
Andrzej Joachimiak 537 1.0× 334 1.2× 146 0.8× 280 1.9× 12 0.5× 63 648
Hokuto Nakayama 493 0.9× 364 1.4× 55 0.3× 107 0.7× 45 1.7× 32 591
Ruth Wingender 548 1.0× 298 1.1× 106 0.6× 96 0.6× 16 0.6× 25 685
Alfredo de Bustos 535 1.0× 226 0.8× 133 0.7× 84 0.6× 29 1.1× 33 642
Anita A. Severn‐Ellis 426 0.8× 254 0.9× 166 0.9× 43 0.3× 73 2.8× 33 637
Kenji Takayanagi 401 0.7× 364 1.4× 108 0.6× 108 0.7× 11 0.4× 45 588
Ana Maria Rocha de Almeida 417 0.8× 370 1.4× 64 0.3× 171 1.1× 34 1.3× 27 602
Kevin A. Bird 480 0.9× 301 1.1× 145 0.8× 67 0.4× 14 0.5× 22 616
Tomosaburo Yabuno 471 0.9× 163 0.6× 117 0.6× 77 0.5× 12 0.5× 35 539
Olga Rotreklová 408 0.8× 244 0.9× 106 0.6× 326 2.2× 47 1.8× 28 608

Countries citing papers authored by Marcela Rosato

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Rosato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Rosato

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela Rosato. A scholar is included among the top collaborators of Marcela Rosato 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 Marcela Rosato. Marcela Rosato 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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