Fabio Busonero

87 total papers · 18.7k total citations
23 papers, 1.1k citations indexed

About

Fabio Busonero is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Fabio Busonero has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Fabio Busonero's work include Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Fabio Busonero is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Fabio Busonero collaborates with scholars based in Italy, United States and Bulgaria. Fabio Busonero's co-authors include Giovanni Biggio, Enrico Sanna, Giuseppe Talani, Maria Giuseppina Pisu, Maria Cristina Mostallino, Elisabetta Maciocco, Paolo Follesa, Mariangela Serra, Robert H. Purdy and Federico Massa and has published in prestigious journals such as Nature Genetics, Journal of Neuroscience and Genome Research.

In The Last Decade

Fabio Busonero

22 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Fabio Busonero 469 376 172 147 123 23 1.1k
Luca Murru 365 0.8× 354 0.9× 150 0.9× 79 0.5× 95 0.8× 32 920
Radmila Manev 422 0.9× 387 1.0× 116 0.7× 139 0.9× 150 1.2× 36 1.2k
Karen Brown 243 0.5× 656 1.7× 316 1.8× 160 1.1× 83 0.7× 20 1.3k
Argel Aguilar‐Valles 418 0.9× 253 0.7× 100 0.6× 132 0.9× 197 1.6× 31 1.2k
Douglas W. Sapp 959 2.0× 721 1.9× 206 1.2× 164 1.1× 94 0.8× 21 1.5k
Pablo R. Moya 547 1.2× 361 1.0× 107 0.6× 253 1.7× 110 0.9× 43 1.3k
Yuki Yagasaki 392 0.8× 398 1.1× 135 0.8× 139 0.9× 142 1.2× 20 969
Anti Kalda 362 0.8× 556 1.5× 176 1.0× 62 0.4× 77 0.6× 33 1.0k
Ramkumar Kuruba 533 1.1× 259 0.7× 74 0.4× 106 0.7× 105 0.9× 15 1.0k
Vladimir M. Pogorelov 624 1.3× 484 1.3× 84 0.5× 188 1.3× 120 1.0× 29 1.3k

Countries citing papers authored by Fabio Busonero

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Busonero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Busonero

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