Gino D’Agnolo

8 total papers · 418 total citations
5 papers, 234 citations indexed

About

Gino D’Agnolo is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Gino D’Agnolo has authored 5 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Gino D’Agnolo's work include Cardiovascular Conditions and Treatments (5 papers), Congenital Heart Disease Studies (3 papers) and Cardiovascular Function and Risk Factors (2 papers). Gino D’Agnolo is often cited by papers focused on Cardiovascular Conditions and Treatments (5 papers), Congenital Heart Disease Studies (3 papers) and Cardiovascular Function and Risk Factors (2 papers). Gino D’Agnolo collaborates with scholars based in Italy, United States and Sweden. Gino D’Agnolo's co-authors include David Chiavegato, Michele Borgarelli, Roberto A. Santilli, Alberto Tarducci, Renato Zanatta, Alessandro Mannelli, Eric Zini, Jens Häggström, Marco Prunotto and Claudio Bussadori and has published in prestigious journals such as The Veterinary Journal, Journal of Veterinary Internal Medicine and Veterinary Radiology & Ultrasound.

In The Last Decade

Gino D’Agnolo

5 papers receiving 226 citations

Author Peers

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

Author						Papers	Cites
Gino D’Agnolo	195	129	69	67	31	5	234
Julie R. Coats	148 0.8×	158 1.2×	54 0.8×	29 0.4×	21 0.7×	6	303
C. Amberger	185 0.9×	105 0.8×	107 1.6×	42 0.6×	40 1.3×	8	209
Hannah Stephenson	171 0.9×	154 1.2×	67 1.0×	24 0.4×	41 1.3×	9	294
Rachael James	158 0.8×	239 1.9×	125 1.8×	67 1.0×	10 0.3×	11	318
Philip Watson	92 0.5×	74 0.6×	43 0.6×	19 0.3×	16 0.5×	7	162
Thaibinh P. Nguyenba	227 1.2×	118 0.9×	127 1.8×	29 0.4×	34 1.1×	9	276
H. Koffas	302 1.5×	232 1.8×	118 1.7×	36 0.5×	19 0.6×	12	329
Cynthia W. Pickus	197 1.0×	267 2.1×	28 0.4×	8 0.1×	41 1.3×	8	313
Rebecca L. Malakoff	98 0.5×	60 0.5×	37 0.5×	46 0.7×	4 0.1×	6	185
Aubrey Thompson	175 0.9×	287 2.2×	32 0.5×	30 0.4×	16 0.5×	6	325

Countries citing papers authored by Gino D’Agnolo

Since Specialization

Citations

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

Fields of papers citing papers by Gino D’Agnolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gino D’Agnolo. 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 Gino D’Agnolo. The network helps show where Gino D’Agnolo may publish in the future.

Co-authorship network of co-authors of Gino D’Agnolo

This figure shows the co-authorship network connecting the top 25 collaborators of Gino D’Agnolo. A scholar is included among the top collaborators of Gino D’Agnolo 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 Gino D’Agnolo. Gino D’Agnolo 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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