Csaba Hetényi

4.3k citations
94 papers · 3.4k indexed · 1 hit paper · h-index 30

Csaba Hetényi

89 papers receiving 3.4k citations

Hit Papers

Mechanism of Blebbistatin Inhibition of Myosin II7862004202620112018250500750

Peers

Csaba Hetényi
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 593
  • Cell Biology 573
  • Molecular Biology 1.9k
  • Pharmacology 162
  • Immunology and Allergy 81
Replace Christina Kiel with:
Christina Kiel Spain
Donna M. Huryn United States
Scott D. Larsen United States
Peter Hodder United States
Oded Livnah Israel
Igor F. Tsigelny United States
Avner Schlessinger United States
Roberto Sánchez United States
Sandro Cosconati Italy
Dan Chen China
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Citations per field
00.5×1.5×2.3×
Christina Kiel · 1×
Citations per year

Countries citing papers authored by Csaba Hetényi

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Hetényi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20243
5 20241
6 20243
7 20233
8 202312
9 20238
10 20237
11 20231
12 202210
13 20227
14 202026
15 202020
16 202013
17 20199
18 20175
19 201725
20 201525

About Csaba Hetényi

Csaba Hetényi is a scholar working on Computational Theory and Mathematics, Pharmacology, Sensory Systems, Molecular Biology and Biochemistry, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Protein Structure and Dynamics (26 papers), Protein Interaction Studies and Fluorescence Analysis (10 papers), Mycotoxins in Agriculture and Food (10 papers), Pharmacogenetics and Drug Metabolism (8 papers), Receptor Mechanisms and Signaling (6 papers), Analytical Chemistry and Chromatography (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (593 citations), Cell Biology (573 citations), Molecular Biology (1.9k citations), Pharmacology (162 citations) and Immunology and Allergy (81 citations). Csaba Hetényi has collaborated with scholars based in Hungary, Sweden and Estonia. Frequent co-authors include David van der Spoel, András Málnási‐Csizmadia, Mihály Kovács, James R. Sellers, Judit Tóth, Uko Maran, Mónika Bálint, Miklós Poór, Alfonso T. García‐Sosa and Beáta Lemli. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Chemical Information and Modeling, Toxins, Biomolecules and Biochemistry.

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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2026