Frédérique Pasquali

92 total papers · 2.4k total citations
54 papers, 839 citations indexed

About

Frédérique Pasquali is a scholar working on Food Science, Biotechnology and Endocrinology. According to data from OpenAlex, Frédérique Pasquali has authored 54 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Food Science, 21 papers in Biotechnology and 13 papers in Endocrinology. Recurrent topics in Frédérique Pasquali's work include Listeria monocytogenes in Food Safety (19 papers), Salmonella and Campylobacter epidemiology (19 papers) and Food Safety and Hygiene (13 papers). Frédérique Pasquali is often cited by papers focused on Listeria monocytogenes in Food Safety (19 papers), Salmonella and Campylobacter epidemiology (19 papers) and Food Safety and Hygiene (13 papers). Frédérique Pasquali collaborates with scholars based in Italy, Spain and Denmark. Frédérique Pasquali's co-authors include Gerardo Manfreda, Alessandra De Cesare, Alex Lucchi, Chiara Cevoli, Marcello Trevisani, Luigi Ragni, Annachiara Berardinelli, Féderica Palma, Rocco Mancusi and Antonio Parisi and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Frédérique Pasquali

49 papers receiving 812 citations

Author Peers

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

Author						Papers	Cites
Frédérique Pasquali	400	300	176	156	150	54	839
Ravindranath Shashidhar	351 0.9×	185 0.6×	76 0.4×	242 1.6×	29 0.2×	61	830
Guodong Zhang	512 1.3×	413 1.4×	37 0.2×	242 1.6×	46 0.3×	54	1.0k
John C. Galland	352 0.9×	139 0.5×	121 0.7×	78 0.5×	24 0.2×	37	978
Laura Gieraltowski	582 1.5×	362 1.2×	83 0.5×	121 0.8×	15 0.1×	42	899
Cristina Bacci	255 0.6×	67 0.2×	148 0.8×	139 0.9×	24 0.2×	54	720
Paul Ebner	377 0.9×	61 0.2×	147 0.8×	144 0.9×	27 0.2×	46	923
Rodrigo Alonso	411 1.0×	69 0.2×	258 1.5×	223 1.4×	29 0.2×	44	962
Jong‐Hyun Park	337 0.8×	110 0.4×	61 0.3×	351 2.3×	26 0.2×	79	985
Roya Ghanavati	275 0.7×	86 0.3×	106 0.6×	414 2.7×	32 0.2×	49	914
Caterina Graziani	669 1.7×	168 0.6×	314 1.8×	99 0.6×	25 0.2×	34	1.0k

Countries citing papers authored by Frédérique Pasquali

Since Specialization

Citations

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

Fields of papers citing papers by Frédérique Pasquali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédérique Pasquali

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