Elisabetta Golini

38 total papers · 2.0k total citations
22 papers, 693 citations indexed

About

Elisabetta Golini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Elisabetta Golini has authored 22 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Elisabetta Golini's work include Receptor Mechanisms and Signaling (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Elisabetta Golini is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Elisabetta Golini collaborates with scholars based in Italy, France and United States. Elisabetta Golini's co-authors include Glauco P. Tocchini‐Valentini, Daniela Marazziti, Rafaele Matteoni, Silvia Mandillo, Chiara Di Pietro, Angela Gallo, Gina La Sala, Armando Magrelli, Walter Witke and Maria Stella Lombardi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Nature Structural & Molecular Biology.

In The Last Decade

Elisabetta Golini

22 papers receiving 687 citations

Author Peers

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

Author						Papers	Cites
Elisabetta Golini	495	236	132	104	67	22	693
Patrick Lüningschrör	365 0.7×	232 1.0×	103 0.8×	138 1.3×	79 1.2×	25	745
Oğuz Gözen	380 0.8×	254 1.1×	94 0.7×	68 0.7×	48 0.7×	27	709
Aleksandra Janusz	422 0.9×	155 0.7×	91 0.7×	37 0.4×	82 1.2×	16	739
Sally Timm	281 0.6×	121 0.5×	154 1.2×	108 1.0×	15 0.2×	16	731
Joan Ribera	373 0.8×	251 1.1×	49 0.4×	76 0.7×	77 1.1×	35	727
Hyun-Hee Ryu	330 0.7×	160 0.7×	28 0.2×	154 1.5×	82 1.2×	25	672
Matthias Stanke	407 0.8×	215 0.9×	32 0.2×	58 0.6×	53 0.8×	9	605
Miriam Fernández	310 0.6×	225 1.0×	45 0.3×	26 0.3×	47 0.7×	29	720
Ming Sum Ruby Chiang	375 0.8×	156 0.7×	154 1.2×	95 0.9×	53 0.8×	11	685
Barbara Mioduszewska	397 0.8×	276 1.2×	202 1.5×	40 0.4×	82 1.2×	12	723

Countries citing papers authored by Elisabetta Golini

Since Specialization

Citations

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

Fields of papers citing papers by Elisabetta Golini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Golini

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