Alessandro Vacca

56 total papers · 1.8k total citations
20 papers, 457 citations indexed

About

Alessandro Vacca is a scholar working on Psychiatry and Mental health, Neurology and Endocrine and Autonomic Systems. According to data from OpenAlex, Alessandro Vacca has authored 20 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Psychiatry and Mental health, 8 papers in Neurology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Alessandro Vacca's work include Migraine and Headache Studies (10 papers), Neuroscience of respiration and sleep (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Alessandro Vacca is often cited by papers focused on Migraine and Headache Studies (10 papers), Neuroscience of respiration and sleep (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Alessandro Vacca collaborates with scholars based in Italy, Canada and Belgium. Alessandro Vacca's co-authors include Annalisa Gai, Elisa Rubino, Innocenzo Rainero, Flora Govone, Lorenzo Pinessi, Paola Martino, S. Piroso, Paolo Martelletti, Lucas Hendrik Overeem and Simona Sacco and has published in prestigious journals such as Neurobiology of Aging, Current Medicinal Chemistry and Alzheimer s & Dementia.

In The Last Decade

Alessandro Vacca

19 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandro Vacca 299 122 102 74 74 20 457
Stefano Caproni 385 1.3× 111 0.9× 59 0.6× 101 1.4× 64 0.9× 26 527
Beatrice Gallai 250 0.8× 99 0.8× 69 0.7× 33 0.4× 39 0.5× 23 447
Angeliki Vgontzas 347 1.2× 117 1.0× 171 1.7× 39 0.5× 45 0.6× 29 502
Marta Vila‐Pueyo 375 1.3× 124 1.0× 102 1.0× 55 0.7× 70 0.9× 25 514
Willebrordus P. J. van Oosterhout 413 1.4× 150 1.2× 58 0.6× 41 0.6× 59 0.8× 15 470
Rachel Hering‐Hanit 334 1.1× 141 1.2× 39 0.4× 55 0.7× 36 0.5× 19 487
Nu Cindy Chai 235 0.8× 217 1.8× 68 0.7× 46 0.6× 62 0.8× 11 483
L Savi 355 1.2× 122 1.0× 95 0.9× 35 0.5× 50 0.7× 34 501
Francisco Navacerrada 190 0.6× 84 0.7× 78 0.8× 133 1.8× 34 0.5× 29 448
Rosanna Cerbo 218 0.7× 102 0.8× 28 0.3× 75 1.0× 54 0.7× 26 419

Countries citing papers authored by Alessandro Vacca

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Vacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Vacca

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