Norbert Nagy

2.1k citations
56 papers · 1.1k · h-index 17

Impact in

Papers in

Norbert Nagy

54 papers receiving 1.1k citations

Peers

Norbert Nagy
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 584
  • Biochemistry 150
  • Cellular and Molecular Neuroscience 180
  • Molecular Biology 598
  • Pathology and Forensic Medicine 118
Replace Youyou Zhao with:
Youyou Zhao United Kingdom
Semir Özdemir Türkiye
Yumi Katano Japan
R Sotníková Slovakia
Leonardo del Valle‐Mondragón Mexico
Sandra Lauton‐Santos Brazil
Alicia Sánchez-Mendoza Mexico
J Török Slovakia
Yu Dong China
Yoshioki Satoh Japan
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Citations per field
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Citations per year

Countries citing papers authored by Norbert Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008189
2 2020140
3 200979
4 200463
5 200657
6 201350
7 200738
8 201437
9 202033
10 201328
11 200824
12 200823
13 200422
14 201921
15 202020
16 200718
17 202016
18
The role of exogenous carbon monoxide in the recovery of post-ischemic cardiac function in buffer perfused isolated rat hearts.
200516
19 201115
20 199815

About Norbert Nagy

Norbert Nagy is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Physiology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (42 papers), Ion channel regulation and function (31 papers), Neuroscience and Neural Engineering (10 papers), Cardiac pacing and defibrillation studies (9 papers), Cardiovascular Effects of Exercise (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (584 citations), Biochemistry (150 citations), Cellular and Molecular Neuroscience (180 citations), Molecular Biology (598 citations) and Pathology and Forensic Medicine (118 citations). Norbert Nagy has collaborated with scholars based in Hungary, Finland and United Kingdom. Frequent co-authors include András Varró, László Virág, Julius Gy. Papp, Joël de Leiris, François Boucher, Blanca Rodríguez, István Baczkó, Elisa Passini, Károly Acsai and Péter P. Nánási. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Scientific Reports, Journal of Molecular and Cellular Cardiology, British Journal of Pharmacology and European Journal of Pharmacology.

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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