M. Abbruzzese

93 total papers · 1.4k total citations
59 papers, 917 citations indexed

About

M. Abbruzzese is a scholar working on Cellular and Molecular Neuroscience, Neurology and Biomedical Engineering. According to data from OpenAlex, M. Abbruzzese has authored 59 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 23 papers in Neurology and 17 papers in Biomedical Engineering. Recurrent topics in M. Abbruzzese's work include Hereditary Neurological Disorders (20 papers), Muscle activation and electromyography studies (16 papers) and Transcranial Magnetic Stimulation Studies (13 papers). M. Abbruzzese is often cited by papers focused on Hereditary Neurological Disorders (20 papers), Muscle activation and electromyography studies (16 papers) and Transcranial Magnetic Stimulation Studies (13 papers). M. Abbruzzese collaborates with scholars based in Italy, United States and Germany. M. Abbruzzese's co-authors include E Favale, S. Ratto, Angelo Schenone, Giovanni Abbruzzese, Gianluigi Mancardi, Paola Mandich, Lucilla Nobbio, Giovanni Abbruzzese, Lizia Reni and Massimo Leandri and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

M. Abbruzzese

58 papers receiving 888 citations

Author Peers

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

Author Last Decade Papers Cites
M. Abbruzzese 397 300 288 212 152 59 917
Detlef Claus 204 0.5× 237 0.8× 409 1.4× 151 0.7× 121 0.8× 26 1.0k
Travis S. Tierney 384 1.0× 132 0.4× 567 2.0× 202 1.0× 90 0.6× 37 1.1k
David J. Anschel 251 0.6× 453 1.5× 209 0.7× 286 1.3× 116 0.8× 42 1.1k
Alexander R. Kent 346 0.9× 160 0.5× 323 1.1× 141 0.7× 51 0.3× 38 957
Raffaele Dubbioso 238 0.6× 417 1.4× 525 1.8× 238 1.1× 110 0.7× 81 1.2k
Futoshi Mori 284 0.7× 192 0.6× 101 0.4× 233 1.1× 176 1.2× 61 1.0k
Noriyuki Higo 378 1.0× 330 1.1× 104 0.4× 254 1.2× 102 0.7× 61 1.0k
M. M. Gassel 161 0.4× 214 0.7× 183 0.6× 512 2.4× 200 1.3× 34 1.1k
Clemens Neudorfer 307 0.8× 202 0.7× 548 1.9× 235 1.1× 233 1.5× 46 1.1k
Ananda Weerasuriya 391 1.0× 174 0.6× 142 0.5× 119 0.6× 60 0.4× 30 1.1k

Countries citing papers authored by M. Abbruzzese

Since Specialization
Citations

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

Fields of papers citing papers by M. Abbruzzese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Abbruzzese

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