Eleonora Corradini

30 total papers · 1.3k total citations
18 papers, 953 citations indexed

About

Eleonora Corradini is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Eleonora Corradini has authored 18 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Eleonora Corradini's work include Receptor Mechanisms and Signaling (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Signaling Pathways in Disease (2 papers). Eleonora Corradini is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Signaling Pathways in Disease (2 papers). Eleonora Corradini collaborates with scholars based in Netherlands, United States and Germany. Eleonora Corradini's co-authors include Albert J. R. Heck, Alba Cristobal, Shabaz Mohammed, Mingliang Ye, Jing Dong, Hanfa Zou, Houjiang Zhou, Riccardo Gubbiotti, Roberto Samperi and Aldo Laganà and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Eleonora Corradini

17 papers receiving 941 citations

Author Peers

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

Author Last Decade Papers Cites
Eleonora Corradini 581 290 98 65 59 18 953
Beverly B. DaGue 485 0.8× 396 1.4× 51 0.5× 46 0.7× 50 0.8× 22 1.0k
Chengjie Ji 393 0.7× 138 0.5× 51 0.5× 19 0.3× 152 2.6× 38 913
Claude R. Gunter 582 1.0× 110 0.4× 44 0.4× 45 0.7× 106 1.8× 8 1.2k
Keith Waddell 441 0.8× 301 1.0× 69 0.7× 14 0.2× 31 0.5× 33 1.1k
Yuping Zhu 424 0.7× 75 0.3× 79 0.8× 21 0.3× 54 0.9× 58 955
De Lin 527 0.9× 128 0.4× 56 0.6× 130 2.0× 90 1.5× 23 1.1k
Heikki Mikola 299 0.5× 101 0.3× 28 0.3× 40 0.6× 109 1.8× 31 1.1k
Antonio Malorni 565 1.0× 79 0.3× 33 0.3× 104 1.6× 49 0.8× 28 952
Kohei Takeuchi 419 0.7× 82 0.3× 35 0.4× 32 0.5× 30 0.5× 25 899
Brian G. Lawhorn 439 0.8× 281 1.0× 57 0.6× 20 0.3× 32 0.5× 22 817

Countries citing papers authored by Eleonora Corradini

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Corradini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Corradini

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