Paola Sacchetti

26 total papers · 2.0k total citations
19 papers, 1.6k citations indexed

About

Paola Sacchetti is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Paola Sacchetti has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Paola Sacchetti's work include Nuclear Receptors and Signaling (9 papers), Cholesterol and Lipid Metabolism (4 papers) and Diet and metabolism studies (3 papers). Paola Sacchetti is often cited by papers focused on Nuclear Receptors and Signaling (9 papers), Cholesterol and Lipid Metabolism (4 papers) and Diet and metabolism studies (3 papers). Paola Sacchetti collaborates with scholars based in United States, Sweden and France. Paola Sacchetti's co-authors include Michael J. Bannon, James G. Granneman, Philippe Lefèbvre, Sharon K. Michelhaugh, Marwa Elamin, Susan A. Masino, David N. Ruskin, Jun Wang, Ernest Arenas and Daniel Poulain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Paola Sacchetti

19 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
Paola Sacchetti 692 603 214 209 203 19 1.6k
W. Ruch 512 0.7× 549 0.9× 191 0.9× 173 0.8× 108 0.5× 41 1.7k
Élisabeth André 622 0.9× 271 0.4× 231 1.1× 145 0.7× 104 0.5× 20 1.4k
Roy B. Dyer 820 1.2× 316 0.5× 237 1.1× 104 0.5× 347 1.7× 46 1.7k
Monique Dussaillant 624 0.9× 474 0.8× 82 0.4× 215 1.0× 157 0.8× 44 1.3k
P. Donatsch 927 1.3× 576 1.0× 257 1.2× 132 0.6× 401 2.0× 45 2.2k
Bosheng Qiu 294 0.4× 219 0.4× 226 1.1× 275 1.3× 249 1.2× 20 1.4k
Jean‐Claude Marie 825 1.2× 491 0.8× 249 1.2× 515 2.5× 284 1.4× 37 1.9k
Devin S. Gary 734 1.1× 435 0.7× 265 1.2× 148 0.7× 130 0.6× 33 1.9k
Klara Szigeti‐Buck 358 0.5× 538 0.9× 305 1.4× 85 0.4× 81 0.4× 21 2.2k
Pierre de Coppet 1.1k 1.5× 185 0.3× 448 2.1× 160 0.8× 261 1.3× 25 2.0k

Countries citing papers authored by Paola Sacchetti

Since Specialization
Citations

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

Fields of papers citing papers by Paola Sacchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Sacchetti

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