Gian Mario Mariuzzi

30 total papers · 1.4k total citations
20 papers, 1.0k citations indexed

About

Gian Mario Mariuzzi is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Gian Mario Mariuzzi has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Gian Mario Mariuzzi's work include Neuroendocrine Tumor Research Advances (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Gian Mario Mariuzzi is often cited by papers focused on Neuroendocrine Tumor Research Advances (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Gian Mario Mariuzzi collaborates with scholars based in Italy and Finland. Gian Mario Mariuzzi's co-authors include Giuseppe Zamboni, Aldo Scarpa, Calogero Iacono, Franco Bonetti, Claudio Bassi, Enrico Solcia, Fabienne Rickaert, Fausto Sessa, G. Talamini and Giuseppe Bogina and has published in prestigious journals such as The American Journal of Surgical Pathology, Biochemical Society Transactions and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

In The Last Decade

Gian Mario Mariuzzi

20 papers receiving 956 citations

Author Peers

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

Author						Papers	Cites
Gian Mario Mariuzzi	614	477	262	244	182	20	1.0k
Raphael Levey	204 0.3×	175 0.4×	95 0.4×	142 0.6×	138 0.8×	15	912
K Shimizu	135 0.2×	240 0.5×	157 0.6×	110 0.5×	239 1.3×	23	944
Merlın Hamre	424 0.7×	203 0.4×	303 1.2×	49 0.2×	83 0.5×	29	1.1k
Masatoshi Kida	175 0.3×	263 0.6×	274 1.0×	195 0.8×	64 0.4×	24	801
August Garin	509 0.8×	386 0.8×	637 2.4×	53 0.2×	66 0.4×	13	1.2k
J. G. Ribot	452 0.7×	507 1.1×	221 0.8×	27 0.1×	58 0.3×	20	1.2k
Servando Cardona‐Huerta	496 0.8×	218 0.5×	371 1.4×	121 0.5×	58 0.3×	40	938
Toby Silverman	213 0.3×	239 0.5×	319 1.2×	84 0.3×	49 0.3×	21	1.2k
Tomoko Haba	169 0.3×	253 0.5×	150 0.6×	145 0.6×	164 0.9×	30	925
T Elhakim	594 1.0×	258 0.5×	310 1.2×	63 0.3×	45 0.2×	14	948

Countries citing papers authored by Gian Mario Mariuzzi

Since Specialization

Citations

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

Fields of papers citing papers by Gian Mario Mariuzzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Mario Mariuzzi. 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 Gian Mario Mariuzzi. The network helps show where Gian Mario Mariuzzi may publish in the future.

Co-authorship network of co-authors of Gian Mario Mariuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Mario Mariuzzi. A scholar is included among the top collaborators of Gian Mario Mariuzzi 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 Gian Mario Mariuzzi. Gian Mario Mariuzzi 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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