Francesca Fardo

81 total papers · 1.3k total citations
31 papers, 634 citations indexed

About

Francesca Fardo is a scholar working on Cognitive Neuroscience, Physiology and Experimental and Cognitive Psychology. According to data from OpenAlex, Francesca Fardo has authored 31 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 13 papers in Physiology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Francesca Fardo's work include Pain Mechanisms and Treatments (10 papers), Olfactory and Sensory Function Studies (6 papers) and Pain Management and Placebo Effect (6 papers). Francesca Fardo is often cited by papers focused on Pain Mechanisms and Treatments (10 papers), Olfactory and Sensory Function Studies (6 papers) and Pain Management and Placebo Effect (6 papers). Francesca Fardo collaborates with scholars based in Denmark, United Kingdom and Belgium. Francesca Fardo's co-authors include Micah Allen, Geraint Rees, Darya Frank, Andreas Roepstorff, D. Samuel Schwarzkopf, Karl Friston, Martin Dietz, Nanna Brix Finnerup, Tobias U. Hauser and Joel S. Winston and has published in prestigious journals such as PLoS ONE, NeuroImage and Annals of Neurology.

In The Last Decade

Francesca Fardo

30 papers receiving 625 citations

Author Peers

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

Author						Papers	Cites
Francesca Fardo	417	186	133	116	101	31	634
Rebecca Boehme	505 1.2×	239 1.3×	180 1.4×	132 1.1×	43 0.4×	30	774
Natasha Matthews	327 0.8×	244 1.3×	91 0.7×	113 1.0×	28 0.3×	33	607
Stephanie Schmidt	505 1.2×	124 0.7×	188 1.4×	133 1.1×	61 0.6×	31	717
Grégory Tio	227 0.5×	245 1.3×	127 1.0×	62 0.5×	90 0.9×	30	658
Anatolia Salone	259 0.6×	299 1.6×	129 1.0×	162 1.4×	95 0.9×	21	760
John M. Cleghorn	276 0.7×	247 1.3×	137 1.0×	102 0.9×	50 0.5×	24	704
Davide Duzzi	506 1.2×	170 0.9×	99 0.7×	150 1.3×	147 1.5×	17	672
Christina Elfgren	364 0.9×	299 1.6×	98 0.7×	32 0.3×	165 1.6×	23	721
Éva Bányai	478 1.1×	113 0.6×	103 0.8×	91 0.8×	30 0.3×	35	608
Heiner Stuke	394 0.9×	118 0.6×	166 1.2×	43 0.4×	24 0.2×	32	651

Countries citing papers authored by Francesca Fardo

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Fardo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Fardo

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