Chiara Villa

94 total papers · 1.5k total citations
47 papers, 988 citations indexed

About

Chiara Villa is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Chiara Villa has authored 47 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in Chiara Villa's work include Muscle Physiology and Disorders (17 papers), Exercise and Physiological Responses (8 papers) and Diverticular Disease and Complications (4 papers). Chiara Villa is often cited by papers focused on Muscle Physiology and Disorders (17 papers), Exercise and Physiological Responses (8 papers) and Diverticular Disease and Complications (4 papers). Chiara Villa collaborates with scholars based in Italy, United States and Switzerland. Chiara Villa's co-authors include Yvan Torrente, Andrea Farini, Camillo Ricordi, Alice A. Tomei, M. Belicchi, Silvia Erratico, Massimo Tonolini, Angelo Monguzzi, R. Damaris Molano and Vita Manzoli and has published in prestigious journals such as Nature Communications, Biomaterials and Advanced Functional Materials.

In The Last Decade

Chiara Villa

46 papers receiving 973 citations

Author Peers

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

Author Last Decade Papers Cites
Chiara Villa 368 337 198 136 125 47 988
Robert C. Long 288 0.8× 419 1.2× 183 0.9× 116 0.9× 115 0.9× 57 1.2k
Melissa L. Hill 212 0.6× 287 0.9× 130 0.7× 98 0.7× 97 0.8× 36 1.2k
Yu‐Hee Kim 169 0.5× 397 1.2× 109 0.6× 55 0.4× 112 0.9× 52 1.2k
Mechthild Wagner 197 0.5× 450 1.3× 154 0.8× 49 0.4× 68 0.5× 24 1.2k
Hatem Boulahdour 382 1.0× 107 0.3× 156 0.8× 94 0.7× 139 1.1× 62 1.1k
Kazuhiko Asanuma 338 0.9× 294 0.9× 135 0.7× 45 0.3× 52 0.4× 34 870
Yue Zhou 151 0.4× 469 1.4× 89 0.4× 49 0.4× 69 0.6× 60 988
Koichi Oishi 381 1.0× 280 0.8× 138 0.7× 66 0.5× 78 0.6× 71 867
Ming‐Ying Lan 196 0.5× 127 0.4× 140 0.7× 76 0.6× 107 0.9× 70 966
Xiaoni Ma 80 0.2× 423 1.3× 129 0.7× 107 0.8× 134 1.1× 52 1.1k

Countries citing papers authored by Chiara Villa

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Villa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Villa

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