Lucía Cassani

97 total papers · 2.1k total citations
71 papers, 1.4k citations indexed

About

Lucía Cassani is a scholar working on Food Science, Biochemistry and Aquatic Science. According to data from OpenAlex, Lucía Cassani has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Food Science, 28 papers in Biochemistry and 19 papers in Aquatic Science. Recurrent topics in Lucía Cassani's work include Phytochemicals and Antioxidant Activities (26 papers), Seaweed-derived Bioactive Compounds (16 papers) and Essential Oils and Antimicrobial Activity (13 papers). Lucía Cassani is often cited by papers focused on Phytochemicals and Antioxidant Activities (26 papers), Seaweed-derived Bioactive Compounds (16 papers) and Essential Oils and Antimicrobial Activity (13 papers). Lucía Cassani collaborates with scholars based in Spain, Portugal and Argentina. Lucía Cassani's co-authors include Jesús Simal‐Gándara, Andrea Gómez‐Zavaglia, Miguel A. Prieto, B. Tomadoni, Alejandra Ponce, Catarina Lourenço‐Lopes, Paula Garcia‐Oliveira, María del Rosario Moreira, Maria Fraga‐Corral and Gabriela E. Viacava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Lucía Cassani

69 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Lucía Cassani 552 337 317 263 262 71 1.4k
Ivona Elez Garofulić 772 1.4× 656 1.9× 449 1.4× 192 0.7× 285 1.1× 59 1.8k
Javier Echave 409 0.7× 324 1.0× 323 1.0× 289 1.1× 365 1.4× 39 1.4k
Anca Corina Fărcaș 602 1.1× 348 1.0× 295 0.9× 116 0.4× 331 1.3× 85 1.6k
Seng Joe Lim 602 1.1× 152 0.5× 276 0.9× 522 2.0× 605 2.3× 86 1.8k
Adane Tilahun Getachew 356 0.6× 154 0.5× 232 0.7× 362 1.4× 308 1.2× 39 1.3k
Lina Yonekura 865 1.6× 430 1.3× 235 0.7× 148 0.6× 399 1.5× 41 1.7k
Enma Conde 342 0.6× 331 1.0× 342 1.1× 448 1.7× 271 1.0× 31 1.4k
Weibao Kong 485 0.9× 363 1.1× 530 1.7× 135 0.5× 306 1.2× 61 1.8k
Cecilia Jiménez-López 487 0.9× 434 1.3× 350 1.1× 497 1.9× 378 1.4× 24 1.8k
Armando Burgos‐Hernández 362 0.7× 159 0.5× 474 1.5× 257 1.0× 420 1.6× 97 1.7k

Countries citing papers authored by Lucía Cassani

Since Specialization
Citations

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

Fields of papers citing papers by Lucía Cassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucía Cassani

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