Eleonora Grandi

5.2k citations
89 papers · 3.5k indexed · h-index 31

Eleonora Grandi

86 papers receiving 3.5k citations

Peers

Eleonora Grandi
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 2.9k
  • Cellular and Molecular Neuroscience 703
  • Molecular Biology 2.2k
  • Electrochemistry 141
  • Nephrology 111
Replace Kaichiro Kamiya with:
Kaichiro Kamiya Japan
Jordi Heijman Netherlands
Marc A. Vos Netherlands
Barry London United States
Steven M. Pogwizd United States
Hua Rong Lu Belgium
Tamás Bányász Hungary
Fadi G. Akar United States
Carlos F. Méndez Argentina
Gan‐Xin Yan United States
Eleonora Grandi relative to Kaichiro Kamiya Japan Kaichiro Kamiya's profile →
Citations per field
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Kaichiro Kamiya · 1×
Citations per year

Countries citing papers authored by Eleonora Grandi

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Grandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eleonora Grandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eleonora Grandi Line = papers co-authored together Eleonora Grandi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 202310
5 20236
6 202326
7 20238
8 202210
9 202212
10 202112
11 202125
12 201937
13 201925
14 201919
15 201980
16 201785
17 201717
18 201714
19 201683
20 201630

About Eleonora Grandi

Eleonora Grandi is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (83 papers), Ion channel regulation and function (54 papers), Atrial Fibrillation Management and Outcomes (19 papers), Receptor Mechanisms and Signaling (17 papers), Cardiac Arrhythmias and Treatments (13 papers), Neuroscience and Neural Engineering (12 papers), ECG Monitoring and Analysis (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.9k citations), Cellular and Molecular Neuroscience (703 citations) and Molecular Biology (2.2k citations). Eleonora Grandi has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Donald M. Bers, Stefano Morotti, Francesco S. Pasqualini, Crystal M. Ripplinger, Dobromir Dobrev, Jośe L. Puglisi, Daniel C. Bartos, Stefano Severi, José Jalife and Haibo Ni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

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