Giorgio Iraci

74 total papers · 723 total citations
51 papers, 552 citations indexed

About

Giorgio Iraci is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Giorgio Iraci has authored 51 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 13 papers in Surgery and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Giorgio Iraci's work include Cerebrospinal fluid and hydrocephalus (12 papers), Cerebral Venous Sinus Thrombosis (11 papers) and Glioma Diagnosis and Treatment (10 papers). Giorgio Iraci is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (12 papers), Cerebral Venous Sinus Thrombosis (11 papers) and Glioma Diagnosis and Treatment (10 papers). Giorgio Iraci collaborates with scholars based in Italy. Giorgio Iraci's co-authors include Massimo Gerosa, Daniele L. Fiore, K. Pardatscher, Claudio Licata, G. Salar, Renzo Giordano, A. Benedetti, Laura Tomazzoli, G. C. Andrioli and G Marín and has published in prestigious journals such as Journal of neurosurgery, American Journal of Roentgenology and Journal of Pediatric Surgery.

In The Last Decade

Giorgio Iraci

48 papers receiving 480 citations

Author Peers

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

Author Last Decade Papers Cites
Giorgio Iraci 318 143 136 114 87 51 552
Guy Wilms 189 0.6× 55 0.4× 112 0.8× 112 1.0× 98 1.1× 44 536
Caroline Apra 227 0.7× 62 0.4× 106 0.8× 223 2.0× 59 0.7× 32 486
Murat Uçar 175 0.6× 126 0.9× 182 1.3× 118 1.0× 108 1.2× 66 567
Fabio Roberti 228 0.7× 66 0.5× 301 2.2× 253 2.2× 46 0.5× 33 517
K Yada 407 1.3× 183 1.3× 135 1.0× 77 0.7× 75 0.9× 52 606
Sinan Çakırer 181 0.6× 132 0.9× 132 1.0× 42 0.4× 93 1.1× 31 514
R Raskind 178 0.6× 63 0.4× 178 1.3× 80 0.7× 186 2.1× 57 590
Shunya Hanakita 347 1.1× 85 0.6× 208 1.5× 304 2.7× 66 0.8× 51 584
Anne-Laure Bernat 236 0.7× 82 0.6× 116 0.9× 212 1.9× 99 1.1× 28 503
Robert G. Peyster 145 0.5× 55 0.4× 177 1.3× 103 0.9× 53 0.6× 39 544

Countries citing papers authored by Giorgio Iraci

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Iraci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Iraci

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