Author

A. Panfilov

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Physiology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:electrophysiology· 3 Organism:human· 3 Research Focus:synaptic & neural circuits· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

O. Solovyova· 2 shared A. Demolder· 1 shared A. Dokuchaev· 1 shared D. Mangileva· 1 shared E. Van Nieuwenhuyse· 1 shared J. De Neve· 1 shared J. Goedgebeur· 1 shared L. B. Katsnelson· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersPhysiology

O. Solovyova

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Rotational Activity Around an Obstacle in 2D Cardiac Tissue in Presence of Cellular Heterogeneity

P. Konovalov, D. Mangileva, A. Dokuchaev, O. Solovyova, A. Panfilov

This study numerically examines wave rotation patterns in 2D cardiac tissue with obstacles and gray zones, identifying new rotation regimes and their periodicity factors.

bioRxiv · Sep 28, 2021Physiology

Mechano-calcium and mechano-electric feedbacks in the human cardiomyocyte analyzed in a mathematical model

N. A. Balakina-Vikulova, A. Panfilov, O. Solovyova, L. B. Katsnelson

This study develops a mathematical model of human cardiomyocytes to analyze mechano-calcium and mechano-electric feedbacks and their effects on excitation-contraction coupling.

bioRxiv · Dec 19, 2019Biophysics

Directed networks as a novel way to describe and analyze cardiac excitation: Directed Graph mapping

N. Vandersickel, E. Van Nieuwenhuyse, N. Van Cleemput, J. Goedgebeur, M. El Haddad, J. De Neve, A. Demolder, T. Strisciuglio, M. Duytschaever, A. Panfilov

This study applies directed network analysis to cardiac excitation data to characterize arrhythmias, showing improved accuracy and potential insights into arrhythmia mechanisms.

bioRxiv · Apr 17, 2019Physiology