Monica Norcini

25 total papers · 691 total citations
23 papers, 566 citations indexed

About

Monica Norcini is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Monica Norcini has authored 23 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 12 papers in Physiology and 10 papers in Molecular Biology. Recurrent topics in Monica Norcini's work include Pain Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuropeptides and Animal Physiology (4 papers). Monica Norcini is often cited by papers focused on Pain Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuropeptides and Animal Physiology (4 papers). Monica Norcini collaborates with scholars based in Italy, United States and China. Monica Norcini's co-authors include Carla Ghelardini, Alexandra Sideris, Esperanza Recio‐Pinto, Elisa Vivoli, Nicoletta Galeotti, Thomas J. J. Blanck, Enrica Bianchi, Alessandro Quattrone, Alessandro Bartolini and Alan V. Smrcka and has published in prestigious journals such as Neuroscience, Journal of Medicinal Chemistry and PLoS Biology.

In The Last Decade

Monica Norcini

22 papers receiving 556 citations

Author Peers

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

Author						Papers	Cites
Monica Norcini	220	210	165	141	72	23	566
Shunji Shinohara	255 1.2×	250 1.2×	300 1.8×	69 0.5×	138 1.9×	27	631
William Z. Suo	321 1.5×	164 0.8×	155 0.9×	68 0.5×	92 1.3×	25	684
Eun Jeong Lim	134 0.6×	157 0.7×	268 1.6×	66 0.5×	92 1.3×	22	511
Kiyomi Yamatsu	249 1.1×	249 1.2×	89 0.5×	81 0.6×	82 1.1×	34	528
Laura Serafina Cerasa	201 0.9×	94 0.4×	109 0.7×	130 0.9×	118 1.6×	22	641
Suzan Gonçalves Rosa	147 0.7×	116 0.6×	138 0.8×	74 0.5×	70 1.0×	38	614
Jolanta Orzelska‐Górka	192 0.9×	198 0.9×	74 0.4×	64 0.5×	73 1.0×	40	564
Juliana Trevisan da Rocha	102 0.5×	80 0.4×	118 0.7×	139 1.0×	92 1.3×	30	685
R. PELLICCIARI	249 1.1×	160 0.8×	38 0.2×	174 1.2×	66 0.9×	25	627
Ai‐Niu Ma	210 1.0×	139 0.7×	180 1.1×	44 0.3×	37 0.5×	18	580

Countries citing papers authored by Monica Norcini

Since Specialization

Citations

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

Fields of papers citing papers by Monica Norcini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Norcini

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