G Ardito

64 total papers · 744 total citations
32 papers, 537 citations indexed

About

G Ardito is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, G Ardito has authored 32 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 7 papers in Oncology. Recurrent topics in G Ardito's work include Thyroid Cancer Diagnosis and Treatment (21 papers), Thyroid and Parathyroid Surgery (15 papers) and Head and Neck Anomalies (5 papers). G Ardito is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (21 papers), Thyroid and Parathyroid Surgery (15 papers) and Head and Neck Anomalies (5 papers). G Ardito collaborates with scholars based in Italy, United States and Japan. G Ardito's co-authors include Luca Revelli, Francesco Ardito, Massimo Salvatori, Guido Fadda, Domenico Rubello, Lucia D’Alatri, Nicola Avenia, Vittoria Rufini, Pietro Modugno and Claudio Vincenzoni and has published in prestigious journals such as British Journal of Haematology, The American Journal of Surgery and Biomedicine & Pharmacotherapy.

In The Last Decade

G Ardito

32 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
G Ardito	393	342	85	62	49	32	537
Carlo Enrico Ambrosini	429 1.1×	331 1.0×	58 0.7×	50 0.8×	68 1.4×	44	543
Yasemin Giles Şenyürek	382 1.0×	354 1.0×	37 0.4×	44 0.7×	26 0.5×	46	524
Beata Wojtczak	360 0.9×	312 0.9×	85 1.0×	35 0.6×	104 2.1×	55	592
Ioannis Vasileiadis	375 1.0×	365 1.1×	30 0.4×	52 0.8×	32 0.7×	24	534
Gian Luigi Canu	302 0.8×	306 0.9×	24 0.3×	43 0.7×	50 1.0×	43	463
Andreas Kiriakopoulos	530 1.3×	181 0.5×	68 0.8×	169 2.7×	43 0.9×	34	616
Joon‐Hyop Lee	221 0.6×	212 0.6×	56 0.7×	87 1.4×	18 0.4×	46	496
Jonathan Young	305 0.8×	233 0.7×	151 1.8×	87 1.4×	26 0.5×	21	563
Fatih Tunca	378 1.0×	236 0.7×	26 0.3×	111 1.8×	22 0.4×	53	515
Umberto Caliceti	352 0.9×	117 0.3×	99 1.2×	101 1.6×	71 1.4×	34	483

Countries citing papers authored by G Ardito

Since Specialization

Citations

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

Fields of papers citing papers by G Ardito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Ardito

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