Attila Tóth

5.9k citations
151 papers · 4.5k · h-index 38

Impact in

Papers in

Attila Tóth

148 papers receiving 4.4k citations

Peers

Attila Tóth
Comparison fields: 5 of 147
  • Sensory Systems 1.1k
  • Physiology 904
  • Cardiology and Cardiovascular Medicine 716
  • Cellular and Molecular Neuroscience 477
  • Biochemistry 146
Replace Miguel A. Valverde with:
Miguel A. Valverde Spain
Masashi Imai Japan
Else K. Hoffmann Denmark
Hideaki Karaki Japan
Andrew P. Somlyo United States
Munekazu Shigekawa Japan
Seth L. Alper United States
Douglas C. Eaton United States
Siegfried Waldegger Germany
Florian Hofmann United States
Attila Tóth relative to Miguel A. Valverde Spain Miguel A. Valverde's profile →
Citations per field
00.5×1.5×
Miguel A. Valverde · 1×
Citations per year

Countries citing papers authored by Attila Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Attila Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005376
2 2004292
3 2004168
4 1997153
5 2005131
6 1995124
7 2006113
8 2008108
9 200398
10 201697
11 200994
12 200693
13 201986
14 200281
15 201578
16 201477
17 202172
18 200571
19 200070
20 197367

About Attila Tóth

Attila Tóth is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Sensory Systems and Surgery, having authored 151 papers that have together received 4.5k indexed citations. Recurring topics across this work include Ion Channels and Receptors (28 papers), Cardiomyopathy and Myosin Studies (17 papers), Pain Mechanisms and Treatments (14 papers), Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (10 papers), Renin-Angiotensin System Studies (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Biochemical Analysis and Sensing Techniques (8 papers). The work is most often cited by research in Sensory Systems (1.1k citations), Physiology (904 citations), Cardiology and Cardiovascular Medicine (716 citations), Cellular and Molecular Neuroscience (477 citations) and Biochemistry (146 citations). Attila Tóth has collaborated with scholars based in Hungary, United States and South Korea. Frequent co-authors include Peter M. Blumberg, Zoltán Papp, István Édes, Noémi Kedei, Zsolt Bagi, Judit Boczán, Erzsébet Lizanecz, Katherine J. Willis, Mihály Braun and Pál Sümegi. Their work appears in journals such as PLoS ONE, GeroScience, Molecular Pharmacology, Cardiovascular Research and Bioorganic & Medicinal Chemistry.

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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