Elisa Passini

2.0k total citations
45 papers, 1.1k citations indexed

About

Elisa Passini is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Elisa Passini has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 19 papers in Molecular Biology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Elisa Passini's work include Cardiac electrophysiology and arrhythmias (36 papers), Neuroscience and Neural Engineering (14 papers) and Ion channel regulation and function (14 papers). Elisa Passini is often cited by papers focused on Cardiac electrophysiology and arrhythmias (36 papers), Neuroscience and Neural Engineering (14 papers) and Ion channel regulation and function (14 papers). Elisa Passini collaborates with scholars based in United Kingdom, Italy and United States. Elisa Passini's co-authors include Blanca Rodríguez, Alfonso Bueno‐Orovio, Stefano Severi, Oliver J. Britton, András Varró, László Virág, Jakub Tomek, Xin Zhou, Michelangelo Paci and Hua Rong Lu and has published in prestigious journals such as Physiological Reviews, SHILAP Revista de lepidopterología and Biophysical Journal.

In The Last Decade

Elisa Passini

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Elisa Passini United Kingdom	16	886	599	269	85	75	45	1.1k
Yi Cui United Kingdom	15	636 0.7×	640 1.1×	238 0.9×	92 1.1×	70 0.9×	23	962
Oliver J. Britton United Kingdom	8	649 0.7×	558 0.9×	161 0.6×	67 0.8×	57 0.8×	11	945
Lars Johannesen United States	22	1.5k 1.7×	819 1.4×	263 1.0×	223 2.6×	116 1.5×	57	1.9k
Jennifer Pierson United States	14	476 0.5×	382 0.6×	251 0.9×	122 1.4×	71 0.9×	29	782
James Kramer United States	7	549 0.6×	491 0.8×	210 0.8×	49 0.6×	63 0.8×	13	741
Karel Van Ammel Belgium	13	593 0.7×	501 0.8×	151 0.6×	51 0.6×	42 0.6×	26	790
Najah Abi‐Gerges United Kingdom	30	1.5k 1.7×	1.4k 2.3×	521 1.9×	215 2.5×	108 1.4×	63	2.1k
Beatriz Trénor Spain	20	792 0.9×	509 0.8×	162 0.6×	44 0.5×	25 0.3×	90	962
David J. Gallacher Belgium	14	375 0.4×	348 0.6×	186 0.7×	117 1.4×	52 0.7×	30	821
An N. Hermans Belgium	9	502 0.6×	446 0.7×	126 0.5×	48 0.6×	49 0.7×	12	696

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-authorship network of co-authors of Elisa Passini

This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Passini. A scholar is included among the top collaborators of Elisa Passini 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 Elisa Passini. Elisa Passini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Passini, Elisa, et al.. (2025). In silico predictions of drug-induced changes in human cardiac contractility align with experimental recordings. Frontiers in Pharmacology. 16. 1500668–1500668. 3 indexed citations

Passini, Elisa, Adeyemi O. Adedeji, Rich Allen, et al.. (2025). Applying the 3Rs to urinalysis assessments in toxicity studies: refining procedures and adopting a case-by-case approach. Comparative Clinical Pathology. 34(2). 311–322.

Barros, Michael Taynnan, Michelangelo Paci, Elisa Passini, et al.. (2024). From Multiscale Biophysics to Digital Twins of Tissues and Organs: Future Opportunities for in-silico Pharmacology. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 10(4). 576–594. 4 indexed citations

Grimm, Herwig, Nikola Biller‐Andorno, Thorsten Buch, et al.. (2023). Advancing the 3Rs: innovation, implementation, ethics and society. Frontiers in Veterinary Science. 10. 1185706–1185706. 38 indexed citations

Delaunois, Annie, François‐Xavier Mathy, Vitalina Gryshkova, et al.. (2023). Testing the nonclinical Comprehensive In Vitro Proarrhythmia Assay (CiPA) paradigm with an established anti‐seizure medication: Levetiracetam case study. Pharmacology Research & Perspectives. 11(1). e01059–e01059. 3 indexed citations

Schmidt, Friedemann, et al.. (2022). Cross clinical-experimental-computational qualification of in silico drug trials on human cardiac purkinje cells for proarrhythmia risk prediction. SHILAP Revista de lepidopterología. 4. 992650–992650. 9 indexed citations

Zhou, Xin, Yusheng Qu, Elisa Passini, et al.. (2020). Blinded In Silico Drug Trial Reveals the Minimum Set of Ion Channels for Torsades de Pointes Risk Assessment. Frontiers in Pharmacology. 10. 1643–1643. 28 indexed citations

Paci, Michelangelo, Elisa Passini, Aleksandra Klimas, et al.. (2020). All-Optical Electrophysiology Refines Populations of In Silico Human iPSC-CMs for Drug Evaluation. Biophysical Journal. 118(10). 2596–2611. 42 indexed citations

Passini, Elisa, Jakub Tomek, Xin Zhou, Alfonso Bueno‐Orovio, & Blanca Rodríguez. (2020). Human in silico drug trials with a novel human ventricular electrophysiology model. Journal of Pharmacological and Toxicological Methods. 105. 106805–106805.

10.

Morissette, Pierre, Sebastian Polak, Anne Chain, et al.. (2020). Combining an in silico proarrhythmic risk assay with a tPKPD model to predict QTc interval prolongation in the anesthetized guinea pig assay. Toxicology and Applied Pharmacology. 390. 114883–114883. 5 indexed citations

11.

Bartolucci, Chiara, Michelangelo Paci, Jari Hyttinen, Elisa Passini, & Stefano Severi. (2019). Evolution of the Seminal O'Hara Rudy Model to More Accurately Simulate the Electrophysiology of Human Ventricular Cardiomyocytes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1 indexed citations

12.

Paci, Michelangelo, Elisa Passini, Aleksandra Klimas, et al.. (2018). In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. Computing in cardiology. 45. 6 indexed citations

13.

Paci, Michelangelo, Elisa Passini, Stefano Severi, Jari Hyttinen, & Blanca Rodríguez. (2017). Phenotypic variability in LQT3 human induced pluripotent stem cell-derived cardiomyocytes and their response to antiarrhythmic pharmacologic therapy: An in silico approach. Heart Rhythm. 14(11). 1704–1712. 47 indexed citations

14.

Passini, Elisa, Oliver J. Britton, Hua Rong Lu, et al.. (2017). Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity. Frontiers in Physiology. 8. 668–668. 216 indexed citations

15.

Muszkiewicz, Anna, Oliver J. Britton, Elisa Passini, et al.. (2015). Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm. Progress in Biophysics and Molecular Biology. 120(1-3). 115–127. 120 indexed citations

16.

Passini, Elisa, Blanca Rodríguez, Ana Mincholé, et al.. (2014). Late sodium current inhibition counteracts pro-arrhythmic mechanisms in human hypertrophic cardiomyopathy. Computing in Cardiology Conference. 41. 861–864. 1 indexed citations

17.

Passini, Elisa & Stefano Severi. (2014). Computational Analysis of Extracellular Calcium Effect on Action Potential Duration. Biophysical Journal. 106(2). 721a–721a. 1 indexed citations

18.

Passini, Elisa, Alessandro Pellegrini, Enrico G. Caiani, & Stefano Severi. (2013). Computational analysis of Head-Down Bed Rest effects on cardiac action potential duration. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40. 357–360. 2 indexed citations

19.

Passini, Elisa & Stefano Severi. (2013). Extracellular calcium and L-type calcium current inactivation mechanisms: A computational study. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40. 839–842. 3 indexed citations

20.

Passini, Elisa & Stefano Severi. (2012). Computational analysis of extracellular calcium effects on an improved human ventricular action potential model. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 39. 873–876. 3 indexed citations

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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