Itay Perlstein

727 citations
28 papers · 586 · h-index 13

Impact in

Papers in

Itay Perlstein

25 papers receiving 558 citations

Peers

Itay Perlstein
Comparison fields: 5 of 79
  • Internal Medicine 36
  • Cardiology and Cardiovascular Medicine 139
  • Endocrinology, Diabetes and Metabolism 94
  • Molecular Biology 253
  • Neurology 34
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Zsolt Márton Hungary
Zhao Han China
Elke Schüler Germany
Jiahui Liu China
Kamil Przyborowski Poland
Andrew O. Kadlec United States
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Akira Kato Japan
Steven K. Engle United States
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Citations per field
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Citations per year

Countries citing papers authored by Itay Perlstein

Since Specialization
Citations

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

Fields of papers citing papers by Itay Perlstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006172
2 201485
3 200375
4 201742
5 201526
6 200324
7 202223
8 200522
9 200220
10 201815
11 201413
12 200913
13 202212
14 20019
15 20009
16 20097
17 19976
18 20253
19 19992
20 20022

About Itay Perlstein

Itay Perlstein is a scholar working on Cardiology and Cardiovascular Medicine, Psychiatry and Mental health, Molecular Biology, Statistics and Probability and Biomedical Engineering, having authored 28 papers that have together received 586 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Statistical Methods in Clinical Trials (4 papers), Epilepsy research and treatment (3 papers), Advanced Chemical Sensor Technologies (3 papers), Pharmaceutical studies and practices (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Internal Medicine (36 citations), Cardiology and Cardiovascular Medicine (139 citations), Endocrinology, Diabetes and Metabolism (94 citations), Molecular Biology (253 citations) and Neurology (34 citations). Itay Perlstein has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David C. Lobe, Nicolas Ancellin, David G. Hassall, Christine Massien, Tony G. Johnson, Timothy M. Willson, Greg Pearce, Dennis L. Sprecher, Scott D. Patterson and Andrew N. Billin. Their work appears in journals such as European Neuropsychopharmacology, American Journal of Physiology-Heart and Circulatory Physiology, Neurology and Therapy, The AAPS Journal and Human Gene Therapy.

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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