Francesca Pastorelli

57 total papers · 2.8k total citations
28 papers, 973 citations indexed

About

Francesca Pastorelli is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Francesca Pastorelli has authored 28 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Neurology. Recurrent topics in Francesca Pastorelli's work include Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Cancer Treatment and Pharmacology (6 papers) and Multiple Myeloma Research and Treatments (3 papers). Francesca Pastorelli is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Cancer Treatment and Pharmacology (6 papers) and Multiple Myeloma Research and Treatments (3 papers). Francesca Pastorelli collaborates with scholars based in Italy, Slovakia and Japan. Francesca Pastorelli's co-authors include R. Plasmati, Fabrizio Salvi, Francesco Vommaro, Mario Di Silvestre, Roberto Michelucci, Francesco Lolli, Michèle Cavo, Chiara Briani, Gabriella Zara and Guido Cavaletti and has published in prestigious journals such as Neurology, Neurobiology of Aging and Movement Disorders.

In The Last Decade

Francesca Pastorelli

28 papers receiving 943 citations

Author Peers

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

Author						Papers	Cites
Francesca Pastorelli	409	278	265	231	183	28	973
Gabriella Zara	303 0.7×	169 0.6×	219 0.8×	245 1.1×	262 1.4×	26	931
Marta Campagnolo	433 1.1×	144 0.5×	226 0.9×	109 0.5×	480 2.6×	56	1.1k
Alby Elias	522 1.3×	213 0.8×	123 0.5×	116 0.5×	105 0.6×	38	1.2k
Çağnur Ulukuş	184 0.4×	204 0.7×	359 1.4×	178 0.8×	72 0.4×	36	1.2k
C.C.P. Verstappen	333 0.8×	143 0.5×	86 0.3×	53 0.2×	213 1.2×	17	888
Barbara Frigeni	729 1.8×	134 0.5×	317 1.2×	41 0.2×	195 1.1×	24	1.1k
T.J. Postma	539 1.3×	86 0.3×	148 0.6×	66 0.3×	180 1.0×	15	1.2k
Sherry L. Wolf	892 2.2×	109 0.4×	212 0.8×	105 0.5×	112 0.6×	17	1.2k
Alessandro Lozza	137 0.3×	220 0.8×	59 0.2×	257 1.1×	638 3.5×	47	1.1k
Susan Booher	169 0.4×	182 0.7×	45 0.2×	151 0.7×	133 0.7×	16	842

Countries citing papers authored by Francesca Pastorelli

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Pastorelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Pastorelli

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