Federica Consiglio

29 total papers · 886 total citations
21 papers, 602 citations indexed

About

Federica Consiglio is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Federica Consiglio has authored 21 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 15 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Federica Consiglio's work include Plant Molecular Biology Research (9 papers), Plant Reproductive Biology (7 papers) and Chromosomal and Genetic Variations (5 papers). Federica Consiglio is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Reproductive Biology (7 papers) and Chromosomal and Genetic Variations (5 papers). Federica Consiglio collaborates with scholars based in Italy, United States and Spain. Federica Consiglio's co-authors include Clara Conicella, Gaetana Cremona, Riccardo Aiese Cigliano, Ray A. Bressan, Walter Sanseverino, Maria Raffaella Ercolano, Albino Maggio, Pasquale Termolino, Giorgio Perrella and Hans J. Bohnert and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and Journal of Experimental Botany.

In The Last Decade

Federica Consiglio

21 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Federica Consiglio 494 376 33 30 29 21 602
Nancy R. Forsthoefel 517 1.0× 374 1.0× 29 0.9× 16 0.5× 29 1.0× 18 646
Luís Fernando Revers 489 1.0× 477 1.3× 26 0.8× 34 1.1× 32 1.1× 36 636
Aliki Kapazoglou 520 1.1× 283 0.8× 56 1.7× 22 0.7× 18 0.6× 27 594
Ting Shi 496 1.0× 475 1.3× 56 1.7× 38 1.3× 44 1.5× 32 675
Miguel A. López 527 1.1× 248 0.7× 17 0.5× 21 0.7× 41 1.4× 13 670
Vinay Kumar Baranwal 417 0.8× 280 0.7× 37 1.1× 12 0.4× 16 0.6× 18 532
Karel Müller 471 1.0× 429 1.1× 24 0.7× 15 0.5× 50 1.7× 33 623
Goon-Bo Kim 377 0.8× 274 0.7× 93 2.8× 29 1.0× 53 1.8× 23 585
Hirotomo Takatsuka 550 1.1× 418 1.1× 19 0.6× 50 1.7× 18 0.6× 24 647
Aiswarya Baruah 285 0.6× 432 1.1× 13 0.4× 18 0.6× 28 1.0× 18 623

Countries citing papers authored by Federica Consiglio

Since Specialization
Citations

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

Fields of papers citing papers by Federica Consiglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Consiglio

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