Paola Candeloro

30 total papers · 2.3k total citations
25 papers, 1.8k citations indexed

About

Paola Candeloro is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Paola Candeloro has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Surgery and 11 papers in Genetics. Recurrent topics in Paola Candeloro's work include Diabetes Management and Research (16 papers), Pancreatic function and diabetes (12 papers) and Diabetes and associated disorders (11 papers). Paola Candeloro is often cited by papers focused on Diabetes Management and Research (16 papers), Pancreatic function and diabetes (12 papers) and Diabetes and associated disorders (11 papers). Paola Candeloro collaborates with scholars based in Italy, Germany and Sweden. Paola Candeloro's co-authors include Alberto Falorni, Filippo Calcinaro, Ciriana Orabona, Paolo Puccetti, Ursula Grohmann, Maria Laura Belladonna, Carmine Vacca, Francesca Fallarino, Roberta Bianchi and Maria C. Fioretti and has published in prestigious journals such as Nature Immunology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Paola Candeloro

25 papers receiving 1.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Paola Candeloro	782	539	413	339	333	25	1.8k
Filippo Calcinaro	885 1.1×	476 0.9×	521 1.3×	382 1.1×	357 1.1×	31	2.0k
J F Bach	982 1.3×	548 1.0×	912 2.2×	266 0.8×	615 1.8×	59	2.2k
H. A. Drexhage	781 1.0×	324 0.6×	278 0.7×	151 0.4×	186 0.6×	57	1.5k
François‐Xavier Hubert	1000 1.3×	230 0.4×	172 0.4×	341 1.0×	57 0.2×	20	1.5k
S Accardo	419 0.5×	261 0.5×	234 0.6×	196 0.6×	115 0.3×	45	1.8k
Melanie Gubbels Bupp	860 1.1×	140 0.3×	272 0.7×	287 0.8×	148 0.4×	17	1.6k
Marika Falcone	1.2k 1.5×	236 0.4×	687 1.7×	737 2.2×	357 1.1×	42	2.3k
Vicki Seyfert‐Margolis	645 0.8×	164 0.3×	265 0.6×	206 0.6×	433 1.3×	26	1.8k
U Fagiolo	775 1.0×	243 0.5×	128 0.3×	319 0.9×	96 0.3×	51	2.0k
Marcin Ł. Pękalski	763 1.0×	184 0.3×	504 1.2×	462 1.4×	278 0.8×	29	1.9k

Countries citing papers authored by Paola Candeloro

Since Specialization

Citations

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

Fields of papers citing papers by Paola Candeloro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Candeloro

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