Ilaria Piccini

49 total papers · 1.8k total citations
23 papers, 1.3k citations indexed

About

Ilaria Piccini is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ilaria Piccini has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ilaria Piccini's work include CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (7 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Ilaria Piccini is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Pluripotent Stem Cells Research (7 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Ilaria Piccini collaborates with scholars based in Germany, Netherlands and Spain. Ilaria Piccini's co-authors include Boris Greber, Marie‐Laure Yaspo, Hans Lehrach, Daniela Balzereit, Guiscard Seebohm, Jyoti Rao, Franziska Welzel, Sylvia Krobitsch, Markus Ralser and Ute Nonhoff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ilaria Piccini

23 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Ilaria Piccini 945 370 255 117 115 23 1.3k
Sutip Navankasattusas 1.1k 1.1× 314 0.8× 147 0.6× 201 1.7× 180 1.6× 25 1.6k
Chantal Allamargot 1.0k 1.1× 245 0.7× 144 0.6× 58 0.5× 134 1.2× 26 1.6k
Pilar Camaño 1.0k 1.1× 252 0.7× 182 0.7× 77 0.7× 68 0.6× 22 1.3k
Michaela Patterson 1.4k 1.5× 304 0.8× 182 0.7× 60 0.5× 282 2.5× 34 1.7k
Marylou Zuzarte 955 1.0× 342 0.9× 207 0.8× 22 0.2× 79 0.7× 18 1.2k
Ikuya Nonaka 1.6k 1.7× 275 0.7× 281 1.1× 51 0.4× 101 0.9× 49 1.8k
James M. Dunn 749 0.8× 94 0.3× 257 1.0× 83 0.7× 107 0.9× 29 1.3k
Elisabeth Krämer 742 0.8× 718 1.9× 63 0.2× 78 0.7× 123 1.1× 42 1.4k
Rashmi Rawat 933 1.0× 117 0.3× 140 0.5× 37 0.3× 112 1.0× 25 1.4k
Chi Keung Lam 981 1.0× 629 1.7× 186 0.7× 21 0.2× 154 1.3× 34 1.4k

Countries citing papers authored by Ilaria Piccini

Since Specialization
Citations

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

Fields of papers citing papers by Ilaria Piccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilaria Piccini

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