Rossella Menghini

105 total papers · 10.3k total citations
71 papers, 3.5k citations indexed

About

Rossella Menghini is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Rossella Menghini has authored 71 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Physiology and 18 papers in Cancer Research. Recurrent topics in Rossella Menghini's work include Diet and metabolism studies (12 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and MicroRNA in disease regulation (9 papers). Rossella Menghini is often cited by papers focused on Diet and metabolism studies (12 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and MicroRNA in disease regulation (9 papers). Rossella Menghini collaborates with scholars based in Italy, Germany and United States. Rossella Menghini's co-authors include Massimo Federici, Renato Lauro, Viviana Casagrande, Marina Cardellini, Davide Lauro, Alessandro Mauriello, Marta Letizia Hribal, Paolo Sbraccia, Loredana Fiorentino and Arnaldo Ippoliti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Rossella Menghini

70 papers receiving 3.4k citations

Author Peers

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

Author Last Decade Papers Cites
Rossella Menghini 1.7k 979 666 652 617 71 3.5k
Franck Peiretti 1.5k 0.8× 583 0.6× 599 0.9× 655 1.0× 842 1.4× 82 3.6k
Ping Song 1.7k 1.0× 515 0.5× 443 0.7× 688 1.1× 493 0.8× 93 3.5k
Yingyi Zhang 2.0k 1.2× 1.2k 1.2× 357 0.5× 564 0.9× 242 0.4× 105 4.0k
Yunchao Su 2.1k 1.2× 579 0.6× 634 1.0× 1.2k 1.8× 538 0.9× 105 4.9k
Hou‐Zao Chen 2.6k 1.5× 898 0.9× 671 1.0× 1.2k 1.8× 775 1.3× 107 5.7k
Michelle S. Johnson 2.0k 1.1× 542 0.6× 358 0.5× 616 0.9× 582 0.9× 59 3.7k
Masatoshi Kusuhara 1.6k 0.9× 634 0.6× 629 0.9× 433 0.7× 345 0.6× 123 3.4k
Sophie Trefely 2.0k 1.1× 816 0.8× 411 0.6× 763 1.2× 555 0.9× 38 3.2k
Guadalupe Sabio 2.5k 1.4× 435 0.4× 735 1.1× 923 1.4× 1.1k 1.7× 70 4.6k
Aijuan Qu 1.3k 0.8× 593 0.6× 267 0.4× 610 0.9× 661 1.1× 66 2.8k

Countries citing papers authored by Rossella Menghini

Since Specialization
Citations

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

Fields of papers citing papers by Rossella Menghini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rossella Menghini

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