Simona D’Aguanno

69 total papers · 2.3k total citations
44 papers, 1.7k citations indexed

About

Simona D’Aguanno is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Simona D’Aguanno has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Simona D’Aguanno's work include Amino Acid Enzymes and Metabolism (6 papers), Enzyme Structure and Function (6 papers) and Ubiquitin and proteasome pathways (5 papers). Simona D’Aguanno is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Enzyme Structure and Function (6 papers) and Ubiquitin and proteasome pathways (5 papers). Simona D’Aguanno collaborates with scholars based in Italy, United States and Argentina. Simona D’Aguanno's co-authors include Donatella Del Bufalo, Andrea Urbani, Alessandro Paiardini, Roberto Contestabile, Martino L. di Salvo, Giorgio Federici, Marta Di Martile, Damiana Pieragostino, Carmine Di Ilio and Piero Del Boccio and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Simona D’Aguanno

44 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Simona D’Aguanno 1.1k 301 276 249 158 44 1.7k
Michelle Palmer 1.1k 1.0× 188 0.6× 152 0.6× 122 0.5× 85 0.5× 64 2.0k
Eduardo N. Maldonado 1.5k 1.4× 471 1.6× 107 0.4× 204 0.8× 145 0.9× 55 2.1k
Stephanie E. Brown 1.7k 1.6× 140 0.5× 176 0.6× 239 1.0× 271 1.7× 27 2.3k
Qiang Xie 756 0.7× 275 0.9× 239 0.9× 103 0.4× 55 0.3× 66 1.4k
Stefani N. Thomas 1.4k 1.3× 180 0.6× 192 0.7× 475 1.9× 38 0.2× 60 2.1k
Melissa A. Fath 1.4k 1.3× 496 1.6× 272 1.0× 405 1.6× 95 0.6× 36 2.2k
Réjean Ruel 1.4k 1.3× 152 0.5× 309 1.1× 184 0.7× 133 0.8× 31 2.4k
Diego Sbardella 747 0.7× 187 0.6× 257 0.9× 287 1.2× 32 0.2× 66 1.5k
Nancy E. Ward 1.3k 1.3× 98 0.3× 454 1.6× 192 0.8× 137 0.9× 65 1.9k
Xiaoming Gong 744 0.7× 155 0.5× 105 0.4× 120 0.5× 212 1.3× 47 1.4k

Countries citing papers authored by Simona D’Aguanno

Since Specialization
Citations

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

Fields of papers citing papers by Simona D’Aguanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simona D’Aguanno. 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 Simona D’Aguanno. The network helps show where Simona D’Aguanno may publish in the future.

Co-authorship network of co-authors of Simona D’Aguanno

This figure shows the co-authorship network connecting the top 25 collaborators of Simona D’Aguanno. A scholar is included among the top collaborators of Simona D’Aguanno 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 Simona D’Aguanno. Simona D’Aguanno 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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