G Aliberti

77 total papers · 1.1k total citations
51 papers, 661 citations indexed

About

G Aliberti is a scholar working on Oncology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, G Aliberti has authored 51 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Epidemiology and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in G Aliberti's work include Radiopharmaceutical Chemistry and Applications (7 papers), Neuroendocrine Tumor Research Advances (7 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). G Aliberti is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (7 papers), Neuroendocrine Tumor Research Advances (7 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). G Aliberti collaborates with scholars based in Italy, United States and Armenia. G Aliberti's co-authors include Emilio Bombardieri, Marco Maccauro, Ettore Seregni, Maria Rita Castellani, Elisabetta Romagnoli, G. F. Mazzuoli, E D’Erasmo, Claudio Chiesa, Carlo Villano and E Vecci and has published in prestigious journals such as The Lancet, Cancer and Annals of Oncology.

In The Last Decade

G Aliberti

47 papers receiving 638 citations

Author Peers

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

Author						Papers	Cites
G Aliberti	249	225	119	119	114	51	661
Hyun‐Cheol Kang	119 0.5×	191 0.8×	211 1.8×	156 1.3×	94 0.8×	54	617
Hae Jin Park	172 0.7×	160 0.7×	332 2.8×	90 0.8×	95 0.8×	68	757
Hang Zhou	149 0.6×	243 1.1×	125 1.1×	144 1.2×	26 0.2×	50	767
Bohdan Huszno	143 0.6×	194 0.9×	266 2.2×	62 0.5×	81 0.7×	61	675
Andrea Lo	160 0.6×	76 0.3×	173 1.5×	142 1.2×	148 1.3×	65	778
Serap Akyürek	135 0.5×	143 0.6×	109 0.9×	142 1.2×	98 0.9×	49	620
Ryunosuke Machida	222 0.9×	69 0.3×	298 2.5×	42 0.4×	124 1.1×	61	649
Minoru Kamata	294 1.2×	129 0.6×	324 2.7×	28 0.2×	160 1.4×	48	785
Çiğdem Soydal	238 1.0×	144 0.6×	196 1.6×	300 2.5×	53 0.5×	96	721
Metin Kır	140 0.6×	63 0.3×	181 1.5×	273 2.3×	35 0.3×	58	685

Countries citing papers authored by G Aliberti

Since Specialization

Citations

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

Fields of papers citing papers by G Aliberti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Aliberti

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