Rita Di Leo

41 total papers · 1.0k total citations
21 papers, 504 citations indexed

About

Rita Di Leo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rita Di Leo has authored 21 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rita Di Leo's work include Heart Rate Variability and Autonomic Control (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Hereditary Neurological Disorders (3 papers). Rita Di Leo is often cited by papers focused on Heart Rate Variability and Autonomic Control (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Hereditary Neurological Disorders (3 papers). Rita Di Leo collaborates with scholars based in Italy and United States. Rita Di Leo's co-authors include Giuseppe Vita, Anna Teresa Mazzeo, Enrico Monaca, L. B. Santamaria, Anna Mazzeo, C Messina, António Toscano, Carmelo Rodolico, Fabio Minutoli and Claudia Stancanelli and has published in prestigious journals such as Neurology, Kidney International and American Journal of Kidney Diseases.

In The Last Decade

Rita Di Leo

21 papers receiving 492 citations

Author Peers

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

Author Last Decade Papers Cites
Rita Di Leo 202 200 120 74 69 21 504
Marvin Murray 49 0.2× 244 1.2× 132 1.1× 42 0.6× 76 1.1× 32 616
Albert S. Chang 118 0.6× 195 1.0× 86 0.7× 29 0.4× 171 2.5× 17 586
Helen N. Duke 110 0.5× 87 0.4× 39 0.3× 20 0.3× 78 1.1× 20 532
L. V. Brown 169 0.8× 85 0.4× 28 0.2× 108 1.5× 59 0.9× 24 533
Reynaldo P. Lazaro 63 0.3× 195 1.0× 76 0.6× 79 1.1× 95 1.4× 23 460
Tadayoshi Hata 156 0.8× 194 1.0× 133 1.1× 29 0.4× 56 0.8× 40 522
G Danieli 165 0.8× 348 1.7× 138 1.1× 46 0.6× 56 0.8× 20 486
A. H. Goodman 173 0.9× 110 0.6× 42 0.3× 24 0.3× 158 2.3× 34 607
Yong Kyu Lee 37 0.2× 210 1.1× 87 0.7× 81 1.1× 80 1.2× 35 543
Aude Lafoux 52 0.3× 303 1.5× 74 0.6× 72 1.0× 39 0.6× 23 525

Countries citing papers authored by Rita Di Leo

Since Specialization
Citations

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

Fields of papers citing papers by Rita Di Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Di Leo. 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 Rita Di Leo. The network helps show where Rita Di Leo may publish in the future.

Co-authorship network of co-authors of Rita Di Leo

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Di Leo. A scholar is included among the top collaborators of Rita Di Leo 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 Rita Di Leo. Rita Di Leo 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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