Francesca Bagnoli

103 total papers · 2.1k total citations
41 papers, 999 citations indexed

About

Francesca Bagnoli is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Francesca Bagnoli has authored 41 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 18 papers in Plant Science and 11 papers in Molecular Biology. Recurrent topics in Francesca Bagnoli's work include Genetic diversity and population structure (23 papers), Genetic and phenotypic traits in livestock (7 papers) and Mediterranean and Iberian flora and fauna (6 papers). Francesca Bagnoli is often cited by papers focused on Genetic diversity and population structure (23 papers), Genetic and phenotypic traits in livestock (7 papers) and Mediterranean and Iberian flora and fauna (6 papers). Francesca Bagnoli collaborates with scholars based in Italy, France and Spain. Francesca Bagnoli's co-authors include Giovanni G. Vendramin, Silvia Fineschi, Santiago C. González‐Martínez, Marco Racchi, Glenn R. Iason, Francesco Loreto, Donatella Magri, Delphine Grivet, Ladislav Paule and Mária Höhn and has published in prestigious journals such as New Phytologist, Trends in Plant Science and Molecular Ecology.

In The Last Decade

Francesca Bagnoli

38 papers receiving 968 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Bagnoli 484 319 292 224 161 41 999
Magda Bou Dagher Kharrat 490 1.0× 272 0.9× 203 0.7× 335 1.5× 205 1.3× 54 1.0k
Anna Buonamici 502 1.0× 505 1.6× 256 0.9× 301 1.3× 128 0.8× 27 1.0k
Alan T. Whittemore 410 0.8× 222 0.7× 231 0.8× 409 1.8× 141 0.9× 47 859
Sabine Brodbeck 407 0.8× 520 1.6× 334 1.1× 348 1.6× 212 1.3× 35 1.1k
Ivan Scotti 314 0.6× 556 1.7× 260 0.9× 274 1.2× 185 1.1× 54 1.0k
Heino Konrad 349 0.7× 438 1.4× 178 0.6× 366 1.6× 242 1.5× 57 1.1k
M. Thompson Conkle 327 0.7× 406 1.3× 219 0.8× 274 1.2× 216 1.3× 29 891
Yoshiaki Tsuda 367 0.8× 617 1.9× 325 1.1× 304 1.4× 211 1.3× 60 1.0k
Gabriele Bucci 312 0.6× 450 1.4× 241 0.8× 173 0.8× 229 1.4× 22 841
Kentaro Uchiyama 540 1.1× 586 1.8× 394 1.3× 306 1.4× 158 1.0× 74 1.2k

Countries citing papers authored by Francesca Bagnoli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Bagnoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Bagnoli

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