Mario Negrello

74 total papers · 1.2k total citations
31 papers, 685 citations indexed

About

Mario Negrello is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mario Negrello has authored 31 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 15 papers in Neurology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mario Negrello's work include Neural dynamics and brain function (16 papers), Vestibular and auditory disorders (14 papers) and Hearing, Cochlea, Tinnitus, Genetics (8 papers). Mario Negrello is often cited by papers focused on Neural dynamics and brain function (16 papers), Vestibular and auditory disorders (14 papers) and Hearing, Cochlea, Tinnitus, Genetics (8 papers). Mario Negrello collaborates with scholars based in Netherlands, Japan and Germany. Mario Negrello's co-authors include Chris I. De Zeeuw, Laurens W. J. Bosman, Christos Strydis, Vincenzo Romano, Tycho M. Hoogland, Jochen K. Spanke, Erik De Schutter, Sungho Hong, Jan-Willem Potters and Sebastiaan K. E. Koekkoek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Mario Negrello

29 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Mario Negrello 359 315 266 120 88 31 685
Daniela Gandolfi 329 0.9× 352 1.1× 236 0.9× 82 0.7× 80 0.9× 31 664
Suzanne Tyč-Dumont 329 0.9× 464 1.5× 176 0.7× 55 0.5× 149 1.7× 48 719
Nicholas A. Hartell 131 0.4× 365 1.2× 265 1.0× 109 0.9× 237 2.7× 27 758
Charly V. Rousseau 402 1.1× 463 1.5× 179 0.7× 113 0.9× 168 1.9× 17 730
Rémi Proville 290 0.8× 229 0.7× 214 0.8× 73 0.6× 63 0.7× 11 630
Sen Jin 201 0.6× 260 0.8× 109 0.4× 91 0.8× 187 2.1× 23 658
P. Gogan 315 0.9× 383 1.2× 92 0.3× 30 0.3× 115 1.3× 34 663
Raudel Sánchez‐Campusano 347 1.0× 346 1.1× 339 1.3× 62 0.5× 72 0.8× 22 682
Samuel J. Barnes 319 0.9× 360 1.1× 173 0.7× 44 0.4× 168 1.9× 24 715
Selmaan N. Chettih 511 1.4× 367 1.2× 94 0.4× 75 0.6× 84 1.0× 12 758

Countries citing papers authored by Mario Negrello

Since Specialization
Citations

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

Fields of papers citing papers by Mario Negrello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Negrello

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