G Annoni

73 total papers · 536 total citations
35 papers, 277 citations indexed

About

G Annoni is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, G Annoni has authored 35 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 9 papers in Epidemiology. Recurrent topics in G Annoni's work include Metabolism and Genetic Disorders (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cardiac Structural Anomalies and Repair (4 papers). G Annoni is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cardiac Structural Anomalies and Repair (4 papers). G Annoni collaborates with scholars based in Italy, United States and Belgium. G Annoni's co-authors include A. Cantaluppi, Gabriele Vignati, Claudio Ponticelli, Pier Carlo Braga, M. Dal Sasso, M. Cecchettin, A. De Vecchi, G Barbi, Diego Brancaccio and Carlo Vergani and has published in prestigious journals such as The Lancet, The Annals of Thoracic Surgery and Current Pharmaceutical Design.

In The Last Decade

G Annoni

30 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
G Annoni	75	69	51	43	32	35	277
Xiaoqiang Ding	79 1.1×	82 1.2×	24 0.5×	50 1.2×	11 0.3×	37	312
Hermann Kathrein	79 1.1×	52 0.8×	64 1.3×	16 0.4×	49 1.5×	24	259
Ahmed Hassan	80 1.1×	63 0.9×	47 0.9×	28 0.7×	11 0.3×	27	287
Weichao Huang	58 0.8×	50 0.7×	32 0.6×	73 1.7×	39 1.2×	29	294
D. G. Vidt	138 1.8×	68 1.0×	23 0.5×	19 0.4×	57 1.8×	24	327
Jiansheng Xiao	53 0.7×	37 0.5×	38 0.7×	161 3.7×	17 0.5×	24	309
Jaromír Eiselt	58 0.8×	69 1.0×	26 0.5×	30 0.7×	19 0.6×	25	331
Teresa Papalia	59 0.8×	20 0.3×	57 1.1×	63 1.5×	19 0.6×	32	332
Andrzej Oko	53 0.7×	64 0.9×	22 0.4×	68 1.6×	34 1.1×	47	315
Hidehiko Kashiwabara	72 1.0×	18 0.3×	22 0.4×	24 0.6×	20 0.6×	36	285

Countries citing papers authored by G Annoni

Since Specialization

Citations

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

Fields of papers citing papers by G Annoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Annoni

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