Fabrizio Fanella

8 total papers · 401 total citations
5 papers, 279 citations indexed

About

Fabrizio Fanella is a scholar working on Cognitive Neuroscience, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Fabrizio Fanella has authored 5 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Neurology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Fabrizio Fanella's work include Transcranial Magnetic Stimulation Studies (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Alcohol Consumption and Health Effects (1 paper). Fabrizio Fanella is often cited by papers focused on Transcranial Magnetic Stimulation Studies (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Alcohol Consumption and Health Effects (1 paper). Fabrizio Fanella collaborates with scholars based in Italy, United Kingdom and United States. Fabrizio Fanella's co-authors include Carlo Lai, Pietro Bria, Federico Tonioni, Paola Aceto, Giovanni Martinotti, Chiara Montemitro, Mauro Pettorruso, Massimo di Giannantonio, Primavera A. Spagnolo and Francesco Di Carlo and has published in prestigious journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Frontiers in Psychiatry and General Hospital Psychiatry.

In The Last Decade

Fabrizio Fanella

5 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Fabrizio Fanella	129	76	74	53	45	5	279
Renata Maria Silva Santos	87 0.7×	71 0.9×	31 0.4×	15 0.3×	28 0.6×	12	224
Patricia Cirillo	45 0.3×	27 0.4×	59 0.8×	81 1.5×	110 2.4×	10	258
Sabine Grüsser-Sinopoli	41 0.3×	29 0.4×	59 0.8×	122 2.3×	6 0.1×	5	323
Chetan Joshi	103 0.8×	31 0.4×	31 0.4×	27 0.5×	7 0.2×	9	319
Allison Auchter	43 0.3×	31 0.4×	81 1.1×	86 1.6×	18 0.4×	8	326
A Ruem Choi	227 1.8×	131 1.7×	72 1.0×	86 1.6×	11 0.2×	12	329
Antonella Sociali	17 0.1×	19 0.3×	94 1.3×	45 0.8×	60 1.3×	8	251
Emily S. Davidson	32 0.2×	29 0.4×	63 0.9×	45 0.8×	4 0.1×	10	296
Meihui Qiu	35 0.3×	34 0.4×	50 0.7×	191 3.6×	18 0.4×	13	314
Donald L. Diefenbach	73 0.6×	14 0.2×	71 1.0×	15 0.3×	22 0.5×	9	253

Countries citing papers authored by Fabrizio Fanella

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Fanella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Fanella

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