Gianvito Arpino

17 total papers · 567 total citations
10 papers, 373 citations indexed

About

Gianvito Arpino is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Gianvito Arpino has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Gianvito Arpino's work include Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (7 papers) and Erythrocyte Function and Pathophysiology (4 papers). Gianvito Arpino is often cited by papers focused on Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (7 papers) and Erythrocyte Function and Pathophysiology (4 papers). Gianvito Arpino collaborates with scholars based in United States, Russia and Sweden. Gianvito Arpino's co-authors include Wonchul Shin, Lihao Ge, Edaeni Hamid, Peter J. Wen, Hsueh‐Cheng Chiang, Huisheng Liu, Seth A. Villarreal, Ling-Gang Wu, Oleg Shupliakov and Albert J. Jin and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Gianvito Arpino

9 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Gianvito Arpino 281 231 71 59 45 10 373
Seth A. Villarreal 280 1.0× 175 0.8× 70 1.0× 47 0.8× 37 0.8× 8 346
Lihao Ge 270 1.0× 164 0.7× 103 1.5× 45 0.8× 38 0.8× 19 375
Morgane Rosendale 236 0.8× 174 0.8× 92 1.3× 41 0.7× 70 1.6× 14 387
Adekunle T. Bademosi 240 0.9× 192 0.8× 131 1.8× 55 0.9× 77 1.7× 16 409
Tiberiu Fulop 311 1.1× 278 1.2× 120 1.7× 71 1.2× 20 0.4× 6 387
Nataliya Glyvuk 248 0.9× 229 1.0× 87 1.2× 32 0.5× 16 0.4× 11 359
Johann Bumann 180 0.6× 216 0.9× 83 1.2× 74 1.3× 80 1.8× 8 390
Jihong Gong 278 1.0× 243 1.1× 113 1.6× 52 0.9× 19 0.4× 16 370
Khajak Berberian 279 1.0× 231 1.0× 188 2.6× 40 0.7× 25 0.6× 9 443
Seiichi Koike 355 1.3× 202 0.9× 33 0.5× 56 0.9× 9 0.2× 16 444

Countries citing papers authored by Gianvito Arpino

Since Specialization
Citations

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

Fields of papers citing papers by Gianvito Arpino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianvito Arpino

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