G. Marino

38 total papers · 1.2k total citations
21 papers, 906 citations indexed

About

G. Marino is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, G. Marino has authored 21 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in G. Marino's work include Mesenchymal stem cell research (4 papers), Cell Adhesion Molecules Research (3 papers) and Anodic Oxide Films and Nanostructures (3 papers). G. Marino is often cited by papers focused on Mesenchymal stem cell research (4 papers), Cell Adhesion Molecules Research (3 papers) and Anodic Oxide Films and Nanostructures (3 papers). G. Marino collaborates with scholars based in Italy and Japan. G. Marino's co-authors include Alfonso Barbarisi, Francesco Rosso, Manlio Barbarisi, Antonio Giordano, Domenico Parmeggiani, Livio Muscariello, Shogo Yamamoto, Dominique Melck, Vincenzo Di Marzo and Luciano De Petrocellis and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology and BioMed Research International.

In The Last Decade

G. Marino

20 papers receiving 870 citations

Author Peers

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

Author						Papers	Cites
G. Marino	295	265	205	154	134	21	906
Achim Salamon	229 0.8×	162 0.6×	237 1.2×	171 1.1×	211 1.6×	22	914
Richard P. Tan	219 0.7×	245 0.9×	170 0.8×	44 0.3×	249 1.9×	38	978
David R. Maestas	263 0.9×	206 0.8×	294 1.4×	86 0.6×	241 1.8×	17	902
Bai‐Shuan Liu	360 1.2×	384 1.4×	195 1.0×	88 0.6×	142 1.1×	33	1.0k
EunAh Lee	131 0.4×	101 0.4×	161 0.8×	125 0.8×	238 1.8×	25	764
Daniel T. Bowers	219 0.7×	155 0.6×	413 2.0×	51 0.3×	200 1.5×	20	824
Sandra Manzotti	181 0.6×	195 0.7×	387 1.9×	138 0.9×	88 0.7×	34	923
Kaizhe Chen	448 1.5×	249 0.9×	147 0.7×	52 0.3×	223 1.7×	20	921
Nataša Miljković	219 0.7×	204 0.8×	253 1.2×	132 0.9×	151 1.1×	25	927
Pengzhen Cheng	455 1.5×	232 0.9×	197 1.0×	64 0.4×	202 1.5×	28	923

Countries citing papers authored by G. Marino

Since Specialization

Citations

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

Fields of papers citing papers by G. Marino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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