Silvia Cardarelli

66 total papers · 787 total citations
43 papers, 464 citations indexed

About

Silvia Cardarelli is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Silvia Cardarelli has authored 43 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Pharmacology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Silvia Cardarelli's work include Phosphodiesterase function and regulation (18 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Receptor Mechanisms and Signaling (6 papers). Silvia Cardarelli is often cited by papers focused on Phosphodiesterase function and regulation (18 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Receptor Mechanisms and Signaling (6 papers). Silvia Cardarelli collaborates with scholars based in Italy, France and United States. Silvia Cardarelli's co-authors include Mauro Giorgi, Stefano Biagioni, Mara Massimi, Giancarlo Poiana, Franco Cozzi, Fabio Naro, Leonardo Punzi, Maria Favarò, Emanuele Cacci and Erika Pigatto and has published in prestigious journals such as Journal of Neuroscience, International Journal of Molecular Sciences and Developmental Cell.

In The Last Decade

Silvia Cardarelli

43 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Silvia Cardarelli	225	98	78	68	50	43	464
Jiawei Zhang	112 0.5×	167 1.7×	33 0.4×	46 0.7×	62 1.2×	29	462
Andrzej Przylipiak	128 0.6×	55 0.6×	87 1.1×	43 0.6×	33 0.7×	44	520
Francisco Tejada Cifuentes	167 0.7×	48 0.5×	60 0.8×	17 0.3×	50 1.0×	38	536
Lingxin Zhang	83 0.4×	63 0.6×	62 0.8×	35 0.5×	94 1.9×	35	446
Zhenzhen Ma	176 0.8×	35 0.4×	68 0.9×	26 0.4×	44 0.9×	46	518
Maria Benedetto	215 1.0×	86 0.9×	36 0.5×	34 0.5×	76 1.5×	25	507
Ping Fan	144 0.6×	70 0.7×	54 0.7×	26 0.4×	38 0.8×	30	450
Bin Qian	165 0.7×	32 0.3×	112 1.4×	18 0.3×	41 0.8×	33	494
Naoto Takahashi	130 0.6×	143 1.5×	110 1.4×	121 1.8×	85 1.7×	41	538
Daying Zhang	83 0.4×	93 0.9×	42 0.5×	92 1.4×	79 1.6×	30	413

Countries citing papers authored by Silvia Cardarelli

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Cardarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Cardarelli

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