Gabriele Chelini

39 total papers · 776 total citations
21 papers, 442 citations indexed

About

Gabriele Chelini is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Gabriele Chelini has authored 21 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Genetics. Recurrent topics in Gabriele Chelini's work include Genetics and Neurodevelopmental Disorders (8 papers), Autism Spectrum Disorder Research (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Gabriele Chelini is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Autism Spectrum Disorder Research (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Gabriele Chelini collaborates with scholars based in Italy, United States and Austria. Gabriele Chelini's co-authors include Sabina Berretta, Harry Pantazopoulos, Yuri Bozzi, Giovanni Provenzano, Riccardo Melani, Tommaso Pizzorusso, Elena Putignano, Gian Michele Ratto, Elena Amendola and Eleonora Calcagno and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Biological Psychiatry.

In The Last Decade

Gabriele Chelini

20 papers receiving 436 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriele Chelini 166 156 154 144 67 21 442
Kyungdeok Kim 180 1.1× 164 1.1× 162 1.1× 135 0.9× 31 0.5× 24 482
Esther Yang 211 1.3× 229 1.5× 94 0.6× 124 0.9× 43 0.6× 28 447
Haram Park 177 1.1× 182 1.2× 156 1.0× 153 1.1× 44 0.7× 15 469
Shlomo Sragovich 130 0.8× 213 1.4× 133 0.9× 88 0.6× 39 0.6× 17 443
Ayse Özge Sungur 144 0.9× 153 1.0× 178 1.2× 210 1.5× 35 0.5× 14 454
Erica J. Young 168 1.0× 214 1.4× 59 0.4× 125 0.9× 48 0.7× 15 439
Mary Muhia 222 1.3× 221 1.4× 106 0.7× 78 0.5× 102 1.5× 13 492
Martijn Selten 155 0.9× 207 1.3× 96 0.6× 109 0.8× 29 0.4× 13 387
Mei Yuan 151 0.9× 190 1.2× 201 1.3× 223 1.5× 46 0.7× 17 457
Toshikazu Kakizaki 322 1.9× 212 1.4× 63 0.4× 108 0.8× 51 0.8× 14 483

Countries citing papers authored by Gabriele Chelini

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Chelini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Chelini

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