Roberto Volpe

124 total papers · 887 total citations
56 papers, 547 citations indexed

About

Roberto Volpe is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Roberto Volpe has authored 56 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Roberto Volpe's work include Nutritional Studies and Diet (12 papers), Lipoproteins and Cardiovascular Health (6 papers) and Consumer Attitudes and Food Labeling (6 papers). Roberto Volpe is often cited by papers focused on Nutritional Studies and Diet (12 papers), Lipoproteins and Cardiovascular Health (6 papers) and Consumer Attitudes and Food Labeling (6 papers). Roberto Volpe collaborates with scholars based in Italy, Canada and United States. Roberto Volpe's co-authors include Rita Mencucci, Cristina Giannattasio, Giampiero Salvi, Stefano Boros, Giuseppe Mancia, S. Guidi, Alberto Bosi, VAS V. ROW, Makoto Iitaka and Claudio Giovannini and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Roberto Volpe

51 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Roberto Volpe	102	89	84	80	75	56	547
Dong Li	61 0.6×	58 0.7×	109 1.3×	132 1.6×	64 0.9×	58	527
Hakan Türkön	53 0.5×	65 0.7×	96 1.1×	79 1.0×	42 0.6×	50	572
Minfang Tao	57 0.6×	65 0.7×	53 0.6×	71 0.9×	37 0.5×	36	588
Koichi Hashimoto	56 0.5×	111 1.2×	131 1.6×	69 0.9×	38 0.5×	44	494
Elena Nardi	56 0.5×	45 0.5×	110 1.3×	106 1.3×	43 0.6×	51	509
Hongmei Wang	58 0.6×	102 1.1×	60 0.7×	154 1.9×	31 0.4×	68	579
Lèlita Santos	104 1.0×	38 0.4×	30 0.4×	86 1.1×	56 0.7×	52	526
Beytullah Yıldırım	55 0.5×	74 0.8×	43 0.5×	59 0.7×	44 0.6×	44	516
Huijuan Zhang	59 0.6×	93 1.0×	34 0.4×	109 1.4×	28 0.4×	40	576
Robert W. Prichard	70 0.7×	32 0.4×	76 0.9×	69 0.9×	78 1.0×	43	562

Countries citing papers authored by Roberto Volpe

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Volpe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Volpe

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