Alessandra Calzetta

8 total papers · 658 total citations
4 papers, 476 citations indexed

About

Alessandra Calzetta is a scholar working on Surgery, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Alessandra Calzetta has authored 4 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 2 papers in Computational Theory and Mathematics and 2 papers in Cancer Research. Recurrent topics in Alessandra Calzetta's work include Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (2 papers) and Computational Drug Discovery Methods (2 papers). Alessandra Calzetta is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (2 papers) and Computational Drug Discovery Methods (2 papers). Alessandra Calzetta collaborates with scholars based in Italy and United States. Alessandra Calzetta's co-authors include Paola Lo Surdo, Ayesha Sitlani, Andrea Carfı́, Shilpa Pandit, Matthew J. Bottomley, Agostino Cirillo, Ni Yan, Ethan C. Settembre, Brian K. Hubbard and Raffaele De Francesco and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Lipid Research and EMBO Reports.

In The Last Decade

Alessandra Calzetta

4 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandra Calzetta 398 140 89 85 80 4 476
Sanae Kourimate 395 1.0× 101 0.7× 53 0.6× 67 0.8× 64 0.8× 5 446
Guenther Staffler 243 0.6× 96 0.7× 162 1.8× 53 0.6× 56 0.7× 9 439
Ricardo E. Dent‐Acosta 385 1.0× 111 0.8× 43 0.5× 34 0.4× 50 0.6× 7 542
Mary Elliott‐Davey 413 1.0× 69 0.5× 84 0.9× 26 0.3× 94 1.2× 8 498
Alexander R. Chait 31 0.1× 300 2.1× 37 0.4× 70 0.8× 38 0.5× 7 499
Jiawen Dai 56 0.1× 177 1.3× 55 0.6× 7 0.1× 68 0.8× 7 538
Darab Kamanabrou 41 0.1× 306 2.2× 139 1.6× 20 0.2× 24 0.3× 7 517
Michael E. Severino 106 0.3× 138 1.0× 101 1.1× 8 0.1× 53 0.7× 10 457
Jee Hae Kim 167 0.4× 172 1.2× 75 0.8× 4 0.0× 61 0.8× 6 476
A E Hornby 65 0.2× 304 2.2× 49 0.6× 19 0.2× 62 0.8× 7 540

Countries citing papers authored by Alessandra Calzetta

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Calzetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Calzetta

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Calzetta. A scholar is included among the top collaborators of Alessandra Calzetta 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 Alessandra Calzetta. Alessandra Calzetta 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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2026