Rosa Cancelliere

13 total papers · 421 total citations
11 papers, 335 citations indexed

About

Rosa Cancelliere is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Rosa Cancelliere has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Epidemiology. Recurrent topics in Rosa Cancelliere's work include Diet, Metabolism, and Disease (7 papers), Diet and metabolism studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Rosa Cancelliere is often cited by papers focused on Diet, Metabolism, and Disease (7 papers), Diet and metabolism studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Rosa Cancelliere collaborates with scholars based in Italy and Switzerland. Rosa Cancelliere's co-authors include Arianna Mazzoli, Raffaella Crescenzo, Susanna Iossa, Luisa Cigliano, Giovanna Liverini, Maria Stefania Spagnuolo, Francesca Bianco, Lucia Iannotta, Loredana Baccigalupi and Blanda Di Luccia and has published in prestigious journals such as International Journal of Molecular Sciences, Nutrients and Frontiers in Physiology.

In The Last Decade

Rosa Cancelliere

11 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Rosa Cancelliere 162 139 105 102 59 11 335
Annemarie Rietman 219 1.4× 88 0.6× 105 1.0× 72 0.7× 50 0.8× 9 373
Claudia Maria da Penha Oller do Nascimento 102 0.6× 63 0.5× 95 0.9× 83 0.8× 82 1.4× 11 350
David A. Brockman 156 1.0× 63 0.5× 117 1.1× 102 1.0× 100 1.7× 7 380
Aline Alves de Santana 84 0.5× 69 0.5× 105 1.0× 74 0.7× 47 0.8× 13 354
Suélem Aparecida de França 191 1.2× 81 0.6× 51 0.5× 100 1.0× 41 0.7× 25 383
Josiane de Campos Cruz 143 0.9× 58 0.4× 100 1.0× 109 1.1× 35 0.6× 10 392
Takuya Mori 139 0.9× 56 0.4× 60 0.6× 113 1.1× 81 1.4× 23 394
Yoshiko Fukuchi 101 0.6× 98 0.7× 82 0.8× 113 1.1× 46 0.8× 14 380
Roger Mariné-Casadó 118 0.7× 67 0.5× 101 1.0× 142 1.4× 30 0.5× 24 379
Marianne Landmann 112 0.7× 144 1.0× 185 1.8× 113 1.1× 18 0.3× 7 348

Countries citing papers authored by Rosa Cancelliere

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Cancelliere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Cancelliere

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