Matteo Castelli

42 total papers · 1.0k total citations
26 papers, 456 citations indexed

About

Matteo Castelli is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matteo Castelli has authored 26 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matteo Castelli's work include Aortic Disease and Treatment Approaches (8 papers), Protein Structure and Dynamics (7 papers) and Aortic aneurysm repair treatments (6 papers). Matteo Castelli is often cited by papers focused on Aortic Disease and Treatment Approaches (8 papers), Protein Structure and Dynamics (7 papers) and Aortic aneurysm repair treatments (6 papers). Matteo Castelli collaborates with scholars based in Italy, United Kingdom and United States. Matteo Castelli's co-authors include Peiman Nazerian, Simone Vanni, Stefano Grifoni, Fulvio Morello, Giorgio Colombo, P Botti, Giuseppe Pepe, Francesco Gambassi, Stefano A. Serapian and Ruben Vergara and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Chemistry - A European Journal.

In The Last Decade

Matteo Castelli

25 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Castelli 207 166 141 67 57 26 456
William J.H. Caldicott 70 0.3× 119 0.7× 83 0.6× 91 1.4× 32 0.6× 22 438
Rector FC 152 0.7× 139 0.8× 35 0.2× 73 1.1× 29 0.5× 19 513
Kenjiro Honda 99 0.5× 84 0.5× 73 0.5× 60 0.9× 30 0.5× 28 503
Bodil Petersen 82 0.4× 164 1.0× 68 0.5× 27 0.4× 28 0.5× 18 522
Wolfgang Kaisers 169 0.8× 109 0.7× 74 0.5× 44 0.7× 26 0.5× 26 465
U Wais 84 0.4× 76 0.5× 107 0.8× 28 0.4× 13 0.2× 25 419
T. R. Snow 127 0.6× 112 0.7× 117 0.8× 84 1.3× 24 0.4× 21 550
George Morris 65 0.3× 84 0.5× 41 0.3× 119 1.8× 46 0.8× 18 502
A Grandchamp 157 0.8× 112 0.7× 63 0.4× 80 1.2× 14 0.2× 23 477
Govind Singh 73 0.4× 44 0.3× 81 0.6× 82 1.2× 22 0.4× 26 446

Countries citing papers authored by Matteo Castelli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Castelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Castelli

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