G. Prezioso

32 total papers · 930 total citations
25 papers, 789 citations indexed

About

G. Prezioso is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Prezioso has authored 25 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Clinical Biochemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Prezioso's work include Mitochondrial Function and Pathology (14 papers), Metabolism and Genetic Disorders (8 papers) and ATP Synthase and ATPases Research (5 papers). G. Prezioso is often cited by papers focused on Mitochondrial Function and Pathology (14 papers), Metabolism and Genetic Disorders (8 papers) and ATP Synthase and ATPases Research (5 papers). G. Prezioso collaborates with scholars based in Italy, Germany and France. G. Prezioso's co-authors include Ferdinando Palmieri, Martin Klingenberg, Vito De Pinto, Ernesto Quagliariello, Cesare Indiveri, Annamaria Tonazzi, Annalisa De Palma, Thomas A. Link, E Quagliariello and Vito Scalera and has published in prestigious journals such as Biochemistry, FEBS Letters and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

G. Prezioso

25 papers receiving 751 citations

Author Peers

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

Author						Papers	Cites
G. Prezioso	621	293	154	98	77	25	789
Italo Stipani	696 1.1×	453 1.5×	192 1.2×	121 1.2×	49 0.6×	28	863
F. Palmieri	678 1.1×	268 0.9×	94 0.6×	116 1.2×	96 1.2×	36	823
Ferdinando Palmieri	675 1.1×	183 0.6×	102 0.7×	59 0.6×	76 1.0×	19	806
James E. Bishop	688 1.1×	196 0.7×	146 0.9×	128 1.3×	33 0.4×	18	881
Elsa Wiame	397 0.6×	282 1.0×	189 1.2×	109 1.1×	48 0.6×	22	742
Koichi Hiraga	482 0.8×	167 0.6×	167 1.1×	89 0.9×	42 0.5×	35	831
Amedeo F. D’Adamo	355 0.6×	204 0.7×	128 0.8×	169 1.7×	109 1.4×	28	756
Józef Zborowski	662 1.1×	181 0.6×	174 1.1×	140 1.4×	66 0.9×	37	843
A L Lehninger	626 1.0×	103 0.4×	108 0.7×	114 1.2×	91 1.2×	16	833
Vito Porcelli	503 0.8×	169 0.6×	136 0.9×	99 1.0×	63 0.8×	27	737

Countries citing papers authored by G. Prezioso

Since Specialization

Citations

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

Fields of papers citing papers by G. Prezioso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Prezioso

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