Elisabetta Rosa

32 total papers · 508 total citations
26 papers, 394 citations indexed

About

Elisabetta Rosa is a scholar working on Biomaterials, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Elisabetta Rosa has authored 26 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomaterials, 12 papers in Molecular Biology and 9 papers in Organic Chemistry. Recurrent topics in Elisabetta Rosa's work include Supramolecular Self-Assembly in Materials (19 papers), RNA Interference and Gene Delivery (9 papers) and Polydiacetylene-based materials and applications (9 papers). Elisabetta Rosa is often cited by papers focused on Supramolecular Self-Assembly in Materials (19 papers), RNA Interference and Gene Delivery (9 papers) and Polydiacetylene-based materials and applications (9 papers). Elisabetta Rosa collaborates with scholars based in Italy, Brazil and United Kingdom. Elisabetta Rosa's co-authors include Antonella Accardo, Carlo Diaferia, Giancarlo Morelli, Enrico Gallo, Giovanni Smaldone, Mariano Stornaiuolo, Teresa Sibillano, Cinzia Giannini, Ian W. Hamley and Luigi Vitagliano and has published in prestigious journals such as Scientific Reports, Journal of Colloid and Interface Science and International Journal of Molecular Sciences.

In The Last Decade

Elisabetta Rosa

23 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Elisabetta Rosa 291 155 122 69 65 26 394
Enrico Gallo 333 1.1× 194 1.3× 135 1.1× 70 1.0× 78 1.2× 27 440
Michael A. VandenBerg 188 0.6× 150 1.0× 122 1.0× 55 0.8× 53 0.8× 17 374
Wonmin Choi 152 0.5× 149 1.0× 135 1.1× 26 0.4× 84 1.3× 20 397
Shaofeng Lou 206 0.7× 121 0.8× 66 0.5× 48 0.7× 104 1.6× 21 395
Yoseop Kim 228 0.8× 135 0.9× 173 1.4× 36 0.5× 81 1.2× 17 436
Francisco José Ostos 109 0.4× 145 0.9× 135 1.1× 38 0.6× 67 1.0× 28 412
Priyadharshini Kumaraswamy 237 0.8× 121 0.8× 79 0.6× 27 0.4× 76 1.2× 11 336
Surendra H. Mahadevegowda 82 0.3× 70 0.5× 100 0.8× 36 0.5× 141 2.2× 20 412
Yanfeng Chu 183 0.6× 123 0.8× 116 1.0× 59 0.9× 76 1.2× 18 339
Jingjing Sun 165 0.6× 220 1.4× 105 0.9× 14 0.2× 69 1.1× 29 436

Countries citing papers authored by Elisabetta Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Rosa

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