Elisa Passini

2.0k citations
45 papers · 1.1k · h-index 16

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 36
    • ECG Monitoring and Analysis 8
    • Cardiomyopathy and Myosin Studies 3
    • Cardiovascular Effects of Exercise 3
    • Ion channel regulation and function 14
    • Receptor Mechanisms and Signaling 4

Elisa Passini

41 papers receiving 1.1k citations

Peers

Elisa Passini
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 886
  • Cellular and Molecular Neuroscience 269
  • Molecular Biology 599
  • Computational Theory and Mathematics 75
  • Electrochemistry 25
Replace Yi Cui with:
Yi Cui United Kingdom
Lars Johannesen United States
Oliver J. Britton United Kingdom
Jennifer Pierson United States
Beatriz Trénor Spain
James Kramer United States
Karel Van Ammel Belgium
An N. Hermans Belgium
Najah Abi‐Gerges United Kingdom
David J. Gallacher Belgium
Elisa Passini relative to Yi Cui United Kingdom Yi Cui's profile →
Citations per field
00.5×4.8×
Yi Cui · 1×
Citations per year

Countries citing papers authored by Elisa Passini

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Passini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elisa Passini, 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 Elisa Passini Line = papers co-authored together Elisa Passini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017216
2 2019152
3 2020140
4 2015120
5 201595
6 201747
7 201943
8 202042
9 202338
10 202033
11 202028
12 202028
13 201425
14 202125
15 202119
16 202018
17 20229
18 20147
19 20167
20 20186

About Elisa Passini

Elisa Passini is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Small Animals, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (36 papers), Neuroscience and Neural Engineering (14 papers), Ion channel regulation and function (14 papers), ECG Monitoring and Analysis (8 papers), Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (886 citations), Cellular and Molecular Neuroscience (269 citations), Molecular Biology (599 citations), Computational Theory and Mathematics (75 citations) and Electrochemistry (25 citations). Elisa Passini has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Blanca Rodríguez, Alfonso Bueno‐Orovio, Stefano Severi, Oliver J. Britton, András Varró, Jakub Tomek, László Virág, Xin Zhou, Michelangelo Paci and Hua Rong Lu. Their work appears in journals such as Frontiers in Pharmacology, Journal of Molecular and Cellular Cardiology, EP Europace, Frontiers in Physiology and Biophysical Journal.

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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