Alexander Kushnir

2.1k citations
46 papers · 1.4k · h-index 15

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 15
    • Atrial Fibrillation Management and Outcomes 12
    • Cardiac pacing and defibrillation studies 5
    • Cardiac Arrhythmias and Treatments 5
    • Cardiovascular Effects of Exercise 2
    • Ion channel regulation and function 14
    • Receptor Mechanisms and Signaling 4

Alexander Kushnir

37 papers receiving 1.3k citations

Peers

Alexander Kushnir
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 825
  • Cellular and Molecular Neuroscience 220
  • Molecular Biology 824
  • Sensory Systems 45
  • Aging 9
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Jin O‐Uchi United States
Frank U. Müller Germany
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Citations per field
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Citations per year

Countries citing papers authored by Alexander Kushnir

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Kushnir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010197
2 2020177
3 2010148
4 2020143
5 2010111
6 201898
7 201087
8 200475
9 201846
10 201044
11 202035
12 201835
13 202018
14 201615
15 202114
16 202013
17 202112
18 201711
19 201210
20 20238

About Alexander Kushnir

Alexander Kushnir is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (14 papers), Atrial Fibrillation Management and Outcomes (12 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Receptor Mechanisms and Signaling (4 papers), COVID-19 Clinical Research Studies (3 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (825 citations), Cellular and Molecular Neuroscience (220 citations), Molecular Biology (824 citations), Sensory Systems (45 citations) and Aging (9 citations). Alexander Kushnir has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Andrew R. Marks, Matthew J. Betzenhauser, Steven Reiken, Jian Shan, Bi-Xing Chen, Stephan E. Lehnart, Ran Zalk, Qi Yuan, Haikel Dridi and Zephan Melville. Their work appears in journals such as Journal of Cardiovascular Electrophysiology, Journal of Interventional Cardiac Electrophysiology, Heart Rhythm, Journal of Clinical Investigation and Nature Reviews Cardiology.

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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