Fernando Frei

81 total papers · 1.8k total citations
45 papers, 1.4k citations indexed

About

Fernando Frei is a scholar working on Plant Science, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Fernando Frei has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Fernando Frei's work include Hormonal and reproductive studies (5 papers), Allelopathy and phytotoxic interactions (4 papers) and Neuroendocrine regulation and behavior (4 papers). Fernando Frei is often cited by papers focused on Hormonal and reproductive studies (5 papers), Allelopathy and phytotoxic interactions (4 papers) and Neuroendocrine regulation and behavior (4 papers). Fernando Frei collaborates with scholars based in Brazil, Italy and Colombia. Fernando Frei's co-authors include Frederico Guilherme Graeff, Antônio Pedro de Mello Cruz, João Tadeu Ribeiro‐Paes, Luiz Fernando Rolim de Almeida, Emilia Mancini, Laura De Martino, Vincenzo De Feo, Isabel Cristina Cherici Camargo, Talita Stessuk and Carolina Arruda de Faria and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.

In The Last Decade

Fernando Frei

37 papers receiving 1.4k citations

Hit Papers

Ethopharmacological analy... 1994 2026 2004 2015 1994 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Fernando Frei 390 287 256 245 198 45 1.4k
Jorge Camilo Flório 242 0.6× 226 0.8× 292 1.1× 176 0.7× 184 0.9× 68 1.3k
M.A. Morales 466 1.2× 87 0.3× 127 0.5× 372 1.5× 44 0.2× 87 1.7k
Monika Majewska 644 1.7× 308 1.1× 270 1.1× 566 2.3× 68 0.3× 44 1.6k
Xinshe Li 806 2.1× 418 1.5× 446 1.7× 429 1.8× 45 0.2× 31 1.6k
Adem Can 401 1.0× 334 1.2× 162 0.6× 383 1.6× 37 0.2× 39 1.8k
Toshifumi YOKOYAMA 206 0.5× 115 0.4× 90 0.4× 422 1.7× 171 0.9× 121 1.7k
Mario Caba 284 0.7× 101 0.4× 397 1.6× 119 0.5× 115 0.6× 84 1.4k
G.F. Heuser 338 0.9× 67 0.2× 63 0.2× 144 0.6× 147 0.7× 67 1.6k
Jorge M. Rosner 369 0.9× 134 0.5× 102 0.4× 291 1.2× 67 0.3× 84 1.5k
Yuko Hara 165 0.4× 110 0.4× 152 0.6× 268 1.1× 41 0.2× 90 1.8k

Countries citing papers authored by Fernando Frei

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Frei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Frei

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