G. Acerbi

43 total papers · 1.2k total citations
33 papers, 827 citations indexed

About

G. Acerbi is a scholar working on Surgery, Internal Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, G. Acerbi has authored 33 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 17 papers in Internal Medicine and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in G. Acerbi's work include Diagnosis and Treatment of Venous Diseases (18 papers), Venous Thromboembolism Diagnosis and Management (17 papers) and Pituitary Gland Disorders and Treatments (6 papers). G. Acerbi is often cited by papers focused on Diagnosis and Treatment of Venous Diseases (18 papers), Venous Thromboembolism Diagnosis and Management (17 papers) and Pituitary Gland Disorders and Treatments (6 papers). G. Acerbi collaborates with scholars based in Italy, United Kingdom and Germany. G. Acerbi's co-authors include M R Cesarone, Mark Dugall, A. Ricci, E. Ippolito, Gianni Belcaro, A. Di Renzo, G. Vinciguerra, Gianni Belcaro, L. Incandela and Maurizio Gasperi and has published in prestigious journals such as Scientific Reports, European Journal of Endocrinology and Parasites & Vectors.

In The Last Decade

G. Acerbi

32 papers receiving 764 citations

Author Peers

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

Author						Papers	Cites
G. Acerbi	361	291	156	139	89	33	827
B.M. Errichi	432 1.2×	415 1.4×	83 0.5×	94 0.7×	37 0.4×	42	887
J Pflug	500 1.4×	261 0.9×	157 1.0×	125 0.9×	100 1.1×	35	1.0k
Daniela Ligi	359 1.0×	194 0.7×	141 0.9×	164 1.2×	31 0.3×	41	906
Koji Yamamoto	287 0.8×	52 0.2×	141 0.9×	249 1.8×	87 1.0×	38	930
E. Mazoyer	224 0.6×	138 0.5×	23 0.1×	161 1.2×	71 0.8×	31	722
Jon Ø. Nossen	228 0.6×	43 0.1×	138 0.9×	193 1.4×	102 1.1×	26	1.0k
Sophie Ziegler	161 0.4×	84 0.3×	62 0.4×	302 2.2×	55 0.6×	22	913
Mustard Jf	175 0.5×	88 0.3×	94 0.6×	134 1.0×	175 2.0×	22	1.0k
Dan Wu	280 0.8×	35 0.1×	149 1.0×	227 1.6×	86 1.0×	49	1.0k
Wilbur A. Thomas	176 0.5×	72 0.2×	66 0.4×	131 0.9×	194 2.2×	32	957

Countries citing papers authored by G. Acerbi

Since Specialization

Citations

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

Fields of papers citing papers by G. Acerbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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