Gaetano Arcuri

24 total papers · 884 total citations
19 papers, 708 citations indexed

About

Gaetano Arcuri is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Gaetano Arcuri has authored 19 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Immunology. Recurrent topics in Gaetano Arcuri's work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (6 papers) and Ubiquitin and proteasome pathways (4 papers). Gaetano Arcuri is often cited by papers focused on Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (6 papers) and Ubiquitin and proteasome pathways (4 papers). Gaetano Arcuri collaborates with scholars based in Italy, United States and Sweden. Gaetano Arcuri's co-authors include Augusto Orlandi, Maria Giovanna Scioli, Amedeo Ferlosio, Elena Doldo, Alessandra Bielli, Gaetana Costanza, Luigi Giusto Spagnoli, Silvia Fortuni, Roberto Testi and Ivano Condò and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Gaetano Arcuri

19 papers receiving 698 citations

Author Peers

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

Author						Papers	Cites
Gaetano Arcuri	402	165	100	88	81	19	708
Hesham M. El‐Shewy	455 1.1×	99 0.6×	105 1.1×	85 1.0×	50 0.6×	19	743
Anne Marilise Marrache	366 0.9×	91 0.6×	137 1.4×	74 0.8×	67 0.8×	16	740
Steven D. Funk	281 0.7×	132 0.8×	59 0.6×	105 1.2×	104 1.3×	16	637
Mousumi Bhattacharya	403 1.0×	139 0.8×	153 1.5×	62 0.7×	57 0.7×	15	883
Masaki Tanaka	375 0.9×	163 1.0×	173 1.7×	73 0.8×	56 0.7×	24	694
Ramón Dı́az-Trelles	634 1.6×	116 0.7×	106 1.1×	58 0.7×	71 0.9×	29	886
Constanza Contreras‐Jurado	568 1.4×	131 0.8×	57 0.6×	57 0.6×	83 1.0×	22	895
Gianluca Figlia	471 1.2×	253 1.5×	91 0.9×	131 1.5×	60 0.7×	17	839
Huafei Zou	486 1.2×	100 0.6×	78 0.8×	143 1.6×	56 0.7×	25	770
Haibo Wu	437 1.1×	151 0.9×	51 0.5×	162 1.8×	70 0.9×	17	712

Countries citing papers authored by Gaetano Arcuri

Since Specialization

Citations

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

Fields of papers citing papers by Gaetano Arcuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaetano Arcuri

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