G. Coppolino

31 total papers · 532 total citations
18 papers, 413 citations indexed

About

G. Coppolino is a scholar working on Immunology, Rheumatology and Surgery. According to data from OpenAlex, G. Coppolino has authored 18 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Rheumatology and 4 papers in Surgery. Recurrent topics in G. Coppolino's work include Systemic Lupus Erythematosus Research (5 papers), Diabetes Management and Research (4 papers) and Pancreatic function and diabetes (4 papers). G. Coppolino is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Diabetes Management and Research (4 papers) and Pancreatic function and diabetes (4 papers). G. Coppolino collaborates with scholars based in Italy, Czechia and Spain. G. Coppolino's co-authors include Antonella Afeltra, Marta Vadacca, Fabio Cacciapaglia, Maria P. Abbracchio, Davide Lecca, Antonio Amoroso, Domenico Paolo Emanuele Margiotta, Davide Marangon, Marta Fumagalli and Amelia Rigon and has published in prestigious journals such as PLoS ONE, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

G. Coppolino

18 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
G. Coppolino	119	109	103	65	55	18	413
Norma Adán	161 1.4×	47 0.4×	89 0.9×	18 0.3×	20 0.4×	16	452
Bibiana Moreno-Carranza	150 1.3×	39 0.4×	56 0.5×	25 0.4×	18 0.3×	18	454
Alexandru Tatomir	130 1.1×	161 1.5×	32 0.3×	14 0.2×	38 0.7×	29	437
J Asai	189 1.6×	39 0.4×	21 0.2×	57 0.9×	39 0.7×	16	456
Yujun Pan	145 1.2×	158 1.4×	80 0.8×	31 0.5×	39 0.7×	15	429
Dallas Boodhoo	153 1.3×	131 1.2×	25 0.2×	21 0.3×	38 0.7×	21	393
Rainer Akkermann	131 1.1×	175 1.6×	20 0.2×	111 1.7×	35 0.6×	14	438
Jihui Zhang	141 1.2×	41 0.4×	34 0.3×	132 2.0×	29 0.5×	14	467
Hai Yu	83 0.7×	75 0.7×	54 0.5×	45 0.7×	31 0.6×	23	454
S. Sallmann	134 1.1×	101 0.9×	59 0.6×	16 0.2×	37 0.7×	10	395

Countries citing papers authored by G. Coppolino

Since Specialization

Citations

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

Fields of papers citing papers by G. Coppolino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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