P. D. Ragonesi

12 total papers · 427 total citations
10 papers, 360 citations indexed

About

P. D. Ragonesi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, P. D. Ragonesi has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in P. D. Ragonesi's work include Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). P. D. Ragonesi is often cited by papers focused on Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). P. D. Ragonesi collaborates with scholars based in Italy. P. D. Ragonesi's co-authors include Giuseppe Derosa, Angela D’Angelo, Sibilla Salvadeo, Arrigo F.G. Cicero, Leonardina Ciccarelli, Ilaria Ferrari, Mario N. Piccinni, Alessia Gravina, Pamela Maffioli and Fabrizio Querci and has published in prestigious journals such as American Journal of Hypertension, Archives of Gerontology and Geriatrics and Diabetes Technology & Therapeutics.

In The Last Decade

P. D. Ragonesi

9 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
P. D. Ragonesi 270 173 85 57 51 10 360
John D. Bucheit 222 0.8× 120 0.7× 109 1.3× 62 1.1× 64 1.3× 17 349
P Andréadis 287 1.1× 153 0.9× 85 1.0× 64 1.1× 27 0.5× 14 389
Hyo Jin Maeng 195 0.7× 157 0.9× 133 1.6× 26 0.5× 39 0.8× 9 358
Christian Anholm 253 0.9× 131 0.8× 86 1.0× 67 1.2× 130 2.5× 16 394
Richard Cosgrove 124 0.5× 96 0.6× 84 1.0× 46 0.8× 46 0.9× 12 305
Flavia Impronta 219 0.8× 137 0.8× 136 1.6× 30 0.5× 30 0.6× 9 317
Guoyu Tong 231 0.9× 117 0.7× 93 1.1× 32 0.6× 22 0.4× 10 335
Evangelia Tzeravini 190 0.7× 94 0.5× 83 1.0× 26 0.5× 36 0.7× 13 295
Lalita Prasad‐Reddy 261 1.0× 141 0.8× 92 1.1× 80 1.4× 21 0.4× 12 374
S Ohgaku 211 0.8× 158 0.9× 82 1.0× 22 0.4× 36 0.7× 16 383

Countries citing papers authored by P. D. Ragonesi

Since Specialization
Citations

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

Fields of papers citing papers by P. D. Ragonesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. D. Ragonesi. 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 P. D. Ragonesi. The network helps show where P. D. Ragonesi may publish in the future.

Co-authorship network of co-authors of P. D. Ragonesi

This figure shows the co-authorship network connecting the top 25 collaborators of P. D. Ragonesi. A scholar is included among the top collaborators of P. D. Ragonesi 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 P. D. Ragonesi. P. D. Ragonesi 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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2026