1988•The Annual Review of Pharmacology and ToxicologyRequires access

Advances in Cardiac Cellular Electrophysiology: Implications for Automaticity and Therapeutics

Gary A. Gintant, IS Cohen

Open publisher page 12 citations

Abstract

Over the past two decades, deadly coronaviruses, with the most recent being the severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) 2019 pandemic, have majorly challenged public health. The path for virus invasion into humans and other ...Read More

About this research paper

What this paper is about

Over the past two decades, deadly coronaviruses, with the most recent being the severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) 2019 pandemic, have majorly challenged public health. The path for virus invasion into humans and other ...Read More

Why it matters

OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Over the past two decades, deadly coronaviruses, with the most recent being the severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) 2019 pandemic, have majorly challenged public health. The path for virus invasion into humans and other ...Read More

Key concepts: Pandemic, Automaticity, Medicine, Coronavirus, Coronavirus disease 2019 (COVID-19), Cardiac electrophysiology, 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Related papers

Back to paper searchBrowse research topicsOriginal source
Advances in Cardiac Cellular Electrophysiology: Implications for Automaticity and Therapeutics — Research Paper | ScholarLens