Matteo Bernabucci

29 total papers · 1.4k total citations
15 papers, 477 citations indexed

About

Matteo Bernabucci is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matteo Bernabucci has authored 15 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matteo Bernabucci's work include Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pharmacological Effects of Natural Compounds (2 papers). Matteo Bernabucci is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pharmacological Effects of Natural Compounds (2 papers). Matteo Bernabucci collaborates with scholars based in United States, Canada and Italy. Matteo Bernabucci's co-authors include Min Zhuo, Shalaka Mulherkar, Philipp Berens, Yves Bernaerts, Ferdinando Nicoletti, Dmitry Kobak, Rickard Sandberg, Zheng Huan Tan, Zizhen Yao and Xiaolong Jiang and has published in prestigious journals such as Nature, Journal of Neuroscience and Cell stem cell.

In The Last Decade

Matteo Bernabucci

14 papers receiving 475 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Bernabucci 224 179 124 107 94 15 477
Hugo Rı́os 170 0.8× 152 0.8× 121 1.0× 56 0.5× 65 0.7× 25 480
Florian Gerich 200 0.9× 138 0.8× 69 0.6× 78 0.7× 117 1.2× 10 524
Manuel Mittag 128 0.6× 304 1.7× 101 0.8× 156 1.5× 135 1.4× 15 508
Н. В. Бобкова 245 1.1× 92 0.5× 201 1.6× 65 0.6× 110 1.2× 25 520
Michael J. Vasek 219 1.0× 134 0.7× 86 0.7× 51 0.5× 171 1.8× 11 501
Stefanie Poll 106 0.5× 276 1.5× 119 1.0× 144 1.3× 175 1.9× 10 477
Mathieu Charvériat 231 1.0× 116 0.6× 116 0.9× 73 0.7× 59 0.6× 31 447
Inna V. Nesterova 243 1.1× 119 0.7× 186 1.5× 47 0.4× 103 1.1× 15 494
Sandrine Sanchez 210 0.9× 144 0.8× 181 1.5× 39 0.4× 83 0.9× 18 466
Jonathan Zapata 226 1.0× 268 1.5× 56 0.5× 82 0.8× 118 1.3× 12 534

Countries citing papers authored by Matteo Bernabucci

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Bernabucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Bernabucci

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Bernabucci. A scholar is included among the top collaborators of Matteo Bernabucci 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 Matteo Bernabucci. Matteo Bernabucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026