Sara Migliarini

43 total papers · 1.1k total citations
25 papers, 783 citations indexed

About

Sara Migliarini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Sara Migliarini has authored 25 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Sara Migliarini's work include Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (9 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Sara Migliarini is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (9 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Sara Migliarini collaborates with scholars based in Italy, United States and France. Sara Migliarini's co-authors include Massimo Pasqualetti, Barbara Pelosi, Giulia Pacini, Marta Pratelli, Alessandro Usiello, Giacomo Maddaloni, Francesco Napolitano, Francesco Errico, Andrea U. De Giorgi and Alessandro Gozzi and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sara Migliarini

25 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Migliarini 405 296 189 99 81 25 783
Katsuya Harada 325 0.8× 254 0.9× 128 0.7× 66 0.7× 95 1.2× 33 855
Silvia Mandillo 360 0.9× 471 1.6× 139 0.7× 101 1.0× 60 0.7× 35 888
Giorgio Gorini 317 0.8× 290 1.0× 212 1.1× 100 1.0× 61 0.8× 19 849
Wanpeng Cui 347 0.9× 288 1.0× 138 0.7× 83 0.8× 40 0.5× 19 748
Gajanan P. Shelkar 414 1.0× 225 0.8× 132 0.7× 41 0.4× 67 0.8× 30 653
Laura K. Nisenbaum 436 1.1× 303 1.0× 96 0.5× 62 0.6× 81 1.0× 25 874
Alipi V. Naydenov 380 0.9× 257 0.9× 119 0.6× 50 0.5× 27 0.3× 18 749
Jamie McQueen 288 0.7× 209 0.7× 128 0.7× 91 0.9× 53 0.7× 20 802
Claudio M. Queiroz 416 1.0× 166 0.6× 232 1.2× 64 0.6× 53 0.7× 38 785
Azar Omrani 374 0.9× 243 0.8× 171 0.9× 53 0.5× 57 0.7× 23 703

Countries citing papers authored by Sara Migliarini

Since Specialization
Citations

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

Fields of papers citing papers by Sara Migliarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Migliarini

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