Laura Pelizzari

74 total papers · 499 total citations
37 papers, 341 citations indexed

About

Laura Pelizzari is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Laura Pelizzari has authored 37 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 15 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Laura Pelizzari's work include Advanced Neuroimaging Techniques and Applications (11 papers), Neurological disorders and treatments (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Laura Pelizzari is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (11 papers), Neurological disorders and treatments (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Laura Pelizzari collaborates with scholars based in Italy and United States. Laura Pelizzari's co-authors include Maria Marcella Laganà, Francesca Baglio, Niels Bergsland, Raffaello Nemni, Sonia Di Tella, Giuseppe Baselli, Federica Rossetto, Mario Clerici, Alice Pirastru and Robert Zivadinov and has published in prestigious journals such as Neuropsychologia, American Journal of Neuroradiology and Frontiers in Neuroscience.

In The Last Decade

Laura Pelizzari

36 papers receiving 339 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Pelizzari 171 141 72 52 46 37 341
Spyridon Komaitis 156 0.9× 112 0.8× 44 0.6× 41 0.8× 73 1.6× 40 388
Julien Lamy 78 0.5× 96 0.7× 79 1.1× 24 0.5× 75 1.6× 34 346
Mark Sedrak 290 1.7× 100 0.7× 24 0.3× 87 1.7× 41 0.9× 27 384
Haruka Takeshige‐Amano 197 1.2× 188 1.3× 42 0.6× 39 0.8× 38 0.8× 26 398
Mila Ćetković 141 0.8× 64 0.5× 86 1.2× 33 0.6× 15 0.3× 31 378
Seongjin Choi 64 0.4× 103 0.7× 76 1.1× 23 0.4× 39 0.8× 21 330
Hyeong Cheol Moon 80 0.5× 53 0.4× 42 0.6× 120 2.3× 50 1.1× 30 310
Joe Senda 255 1.5× 81 0.6× 32 0.4× 49 0.9× 36 0.8× 24 389
Tony R. Wang 196 1.1× 51 0.4× 52 0.7× 74 1.4× 24 0.5× 18 358
Anna Gotzamani‐Psarrakou 97 0.6× 54 0.4× 38 0.5× 38 0.7× 24 0.5× 36 340

Countries citing papers authored by Laura Pelizzari

Since Specialization
Citations

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

Fields of papers citing papers by Laura Pelizzari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Pelizzari

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