Gabriella Marini

38 total papers · 816 total citations
31 papers, 666 citations indexed

About

Gabriella Marini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Gabriella Marini has authored 31 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 15 papers in Cognitive Neuroscience and 6 papers in Neurology. Recurrent topics in Gabriella Marini's work include Neuroscience and Neuropharmacology Research (15 papers), Sleep and Wakefulness Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Gabriella Marini is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Sleep and Wakefulness Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Gabriella Marini collaborates with scholars based in Italy and Switzerland. Gabriella Marini's co-authors include M Mancia, G Tredici, F. Baldissera, Paolo Cavallari, Maria Luisa Sotgiu, Giovanna Cantarella, F Ottaviani, L. Provini, A. Rosina and Alessandro Vercelli and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Journal of Applied Physiology.

In The Last Decade

Gabriella Marini

31 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Gabriella Marini	396	213	114	110	100	31	666
E Balzamo	318 0.8×	229 1.1×	149 1.3×	45 0.4×	126 1.3×	48	746
P. Jissendi	208 0.5×	100 0.5×	82 0.7×	45 0.4×	93 0.9×	21	593
P.M.E. Waite	197 0.5×	368 1.7×	46 0.4×	64 0.6×	45 0.5×	27	724
Flavia Venetucci Gouveia	273 0.7×	215 1.0×	53 0.5×	72 0.7×	197 2.0×	55	748
Anne Kitsikis	270 0.7×	299 1.4×	75 0.7×	43 0.4×	66 0.7×	25	693
W. Baust	416 1.1×	155 0.7×	242 2.1×	96 0.9×	36 0.4×	50	762
J. P. Segundo	466 1.2×	347 1.6×	65 0.6×	83 0.8×	64 0.6×	19	753
Chan‐Nao Liu	174 0.4×	260 1.2×	113 1.0×	93 0.8×	71 0.7×	11	685
Martha Anne Clendenin	162 0.4×	312 1.5×	124 1.1×	115 1.0×	59 0.6×	30	770
Tom A.P. Roeling	362 0.9×	165 0.8×	110 1.0×	62 0.6×	71 0.7×	18	750

Countries citing papers authored by Gabriella Marini

Since Specialization

Citations

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

Fields of papers citing papers by Gabriella Marini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Marini

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