Laís Benvenutti

31 total papers · 1.1k total citations
23 papers, 794 citations indexed

About

Laís Benvenutti is a scholar working on Food Science, Biochemistry and Nutrition and Dietetics. According to data from OpenAlex, Laís Benvenutti has authored 23 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Food Science, 14 papers in Biochemistry and 6 papers in Nutrition and Dietetics. Recurrent topics in Laís Benvenutti's work include Phytochemicals and Antioxidant Activities (14 papers), Fermentation and Sensory Analysis (5 papers) and Meat and Animal Product Quality (3 papers). Laís Benvenutti is often cited by papers focused on Phytochemicals and Antioxidant Activities (14 papers), Fermentation and Sensory Analysis (5 papers) and Meat and Animal Product Quality (3 papers). Laís Benvenutti collaborates with scholars based in Brazil, Spain and Colombia. Laís Benvenutti's co-authors include Acácio Antônio Ferreira Zielinski, Sandra Regina Salvador Ferreira, Andrea del Pilar Sánchez‐Camargo, Alessandro Nogueira, Aline Alberti, Débora Gonçalves Bortolini, Ivo Mottin Demiate, Danianni Marinho Zardo, Vívian Maria Burin and Flávio Luís Beltrame and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Food Science & Technology and Journal of the Science of Food and Agriculture.

In The Last Decade

Laís Benvenutti

22 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Laís Benvenutti 341 225 218 136 134 23 794
Filip Dujmić 331 1.0× 198 0.9× 144 0.7× 157 1.2× 106 0.8× 27 673
Sally El Kantar 310 0.9× 288 1.3× 98 0.4× 111 0.8× 175 1.3× 21 796
Emil Zlatić 338 1.0× 230 1.0× 140 0.6× 73 0.5× 345 2.6× 39 877
Soukaina Hilali 234 0.7× 149 0.7× 121 0.6× 50 0.4× 104 0.8× 11 650
Daniella Carisa Murador 283 0.8× 365 1.6× 80 0.4× 125 0.9× 140 1.0× 16 757
Milena Ivanović 252 0.7× 197 0.9× 308 1.4× 30 0.2× 117 0.9× 15 752
Vanja Šeregelj 493 1.4× 293 1.3× 81 0.4× 178 1.3× 139 1.0× 43 837
Thalia Tsiaka 189 0.6× 219 1.0× 80 0.4× 67 0.5× 173 1.3× 41 682
Caroline Marques 229 0.7× 71 0.3× 102 0.5× 101 0.7× 128 1.0× 34 644
Bruno Baréa 185 0.5× 248 1.1× 148 0.7× 74 0.5× 47 0.4× 15 758

Countries citing papers authored by Laís Benvenutti

Since Specialization
Citations

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

Fields of papers citing papers by Laís Benvenutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laís Benvenutti

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