Federica Sentinelli

64 total papers · 1.8k total citations
52 papers, 1.4k citations indexed

About

Federica Sentinelli is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Federica Sentinelli has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Surgery. Recurrent topics in Federica Sentinelli's work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Pancreatic function and diabetes (9 papers). Federica Sentinelli is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Pancreatic function and diabetes (9 papers). Federica Sentinelli collaborates with scholars based in Italy, Sweden and United Kingdom. Federica Sentinelli's co-authors include Marco Giorgio Baroni, Stefano Romeo, Frida Leonetti, Michela Incani, Marcello Arca, Emanuela Filippi, Efisio Cossu, Maria Gisella Cavallo, Umberto Di Mario and Mara Fallarino and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Federica Sentinelli

51 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Federica Sentinelli 693 411 360 295 263 52 1.4k
Toshihide Oizumi 394 0.6× 361 0.9× 302 0.8× 341 1.2× 237 0.9× 43 1.5k
Wataru Kameda 400 0.6× 292 0.7× 309 0.9× 297 1.0× 194 0.7× 49 1.2k
Flavia Agata Cimini 600 0.9× 348 0.8× 324 0.9× 283 1.0× 136 0.5× 55 1.3k
Jey Sook Chae 438 0.6× 360 0.9× 351 1.0× 256 0.9× 278 1.1× 46 1.4k
Muxun Zhang 396 0.6× 702 1.7× 343 1.0× 414 1.4× 340 1.3× 39 1.6k
Rosa Di Paola 637 0.9× 343 0.8× 537 1.5× 679 2.3× 256 1.0× 63 1.8k
Fabrizio Ceci 412 0.6× 434 1.1× 325 0.9× 217 0.7× 323 1.2× 54 1.4k
Kazuyuki Hida 694 1.0× 276 0.7× 486 1.4× 515 1.7× 336 1.3× 37 1.8k
Stefan Lehr 612 0.9× 381 0.9× 668 1.9× 656 2.2× 207 0.8× 42 1.7k
Mandeep Bajaj 528 0.8× 534 1.3× 471 1.3× 555 1.9× 160 0.6× 38 1.4k

Countries citing papers authored by Federica Sentinelli

Since Specialization
Citations

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

Fields of papers citing papers by Federica Sentinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Sentinelli

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