Francesco De Rango

73 total papers · 2.4k total citations
52 papers, 1.7k citations indexed

About

Francesco De Rango is a scholar working on Physiology, Molecular Biology and Aging. According to data from OpenAlex, Francesco De Rango has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 19 papers in Molecular Biology and 15 papers in Aging. Recurrent topics in Francesco De Rango's work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Frailty in Older Adults (8 papers) and Diet and metabolism studies (7 papers). Francesco De Rango is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (15 papers), Frailty in Older Adults (8 papers) and Diet and metabolism studies (7 papers). Francesco De Rango collaborates with scholars based in Italy, United States and United Kingdom. Francesco De Rango's co-authors include Giuseppe Passarino, Alberto Montesanto, Giuseppina Rose, Serena Dato, Vincenzo Mari, Claudio Franceschi, Dina Bellizzi, Patrizia D’Aquila, Paolina Crocco and E Feraco and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Francesco De Rango

51 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Francesco De Rango 626 597 337 319 201 52 1.7k
Alberto Montesanto 683 1.1× 571 1.0× 243 0.7× 189 0.6× 192 1.0× 84 1.8k
Joris Deelen 732 1.2× 607 1.0× 474 1.4× 137 0.4× 268 1.3× 51 2.1k
Serena Dato 904 1.4× 908 1.5× 619 1.8× 508 1.6× 233 1.2× 60 2.1k
Sofiya Milman 567 0.9× 649 1.1× 363 1.1× 224 0.7× 158 0.8× 57 1.8k
Min Zhu 683 1.1× 869 1.5× 307 0.9× 133 0.4× 246 1.2× 55 2.0k
Marissa J. Schafer 818 1.3× 1.2k 2.1× 298 0.9× 137 0.4× 95 0.5× 34 2.2k
Dena E. Cohen 696 1.1× 716 1.2× 163 0.5× 758 2.4× 170 0.8× 35 2.1k
Sergio Giunta 619 1.0× 689 1.2× 141 0.4× 167 0.5× 117 0.6× 52 2.2k
Mikael Thinggaard 359 0.6× 558 0.9× 217 0.6× 188 0.6× 119 0.6× 50 1.7k
G. De Benedictis 915 1.5× 722 1.2× 784 2.3× 291 0.9× 481 2.4× 49 2.3k

Countries citing papers authored by Francesco De Rango

Since Specialization
Citations

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

Fields of papers citing papers by Francesco De Rango

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco De Rango. 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 Francesco De Rango. The network helps show where Francesco De Rango may publish in the future.

Co-authorship network of co-authors of Francesco De Rango

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco De Rango. A scholar is included among the top collaborators of Francesco De Rango 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 Francesco De Rango. Francesco De Rango 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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