Csaba Hetényi
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 23
- Protein Interaction Studies and Fluorescence Analysis 10
- Receptor Mechanisms and Signaling 6
-
- Computational Drug Discovery Methods 33
- Co-authors
- David van der Spoel (9 shared papers)András Málnási‐Csizmadia (3 shared papers)Mihály Kovács (2 shared papers)James R. Sellers (1 shared paper)Judit Tóth (1 shared paper)Uko Maran (9 shared papers)Mónika Bálint (20 shared papers)Miklós Poór (22 shared papers)
In The Last Decade
Csaba Hetényi
90 papers receiving 3.5k citations
Csaba Hetényi's Hit Papers
Peers
Comparison fields: 5 of 129
- Cell Biology 570
- Computational Theory and Mathematics 580
- Molecular Biology 1.9k
- Pharmacology 154
- Immunology and Allergy 81
Countries citing papers authored by Csaba Hetényi
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
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-authors
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.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanism of Blebbistatin Inhibition of Myosin II Hit paper breakdown → | 2004 | 810 |
| 2 | 2002 | 390 | |
| 3 | 2006 | 269 | |
| 4 | 2008 | 193 | |
| 5 | 2008 | 90 | |
| 6 | 2000 | 82 | |
| 7 | 2011 | 66 | |
| 8 | 2004 | 63 | |
| 9 | 2002 | 58 | |
| 10 | 2017 | 52 | |
| 11 | 2011 | 52 | |
| 12 | 2006 | 50 | |
| 13 | 2009 | 49 | |
| 14 | 2017 | 48 | |
| 15 | 2020 | 48 | |
| 16 | 2002 | 46 | |
| 17 | 2005 | 44 | |
| 18 | 2008 | 43 | |
| 19 | 2020 | 42 | |
| 20 | 2015 | 40 |
About Csaba Hetényi
Csaba Hetényi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Plant Science, Cellular and Molecular Neuroscience and Pharmacology, having authored 94 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Protein Structure and Dynamics (23 papers), Mycotoxins in Agriculture and Food (10 papers), Protein Interaction Studies and Fluorescence Analysis (10 papers), Pharmacogenetics and Drug Metabolism (8 papers), Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Cell Biology (570 citations), Computational Theory and Mathematics (580 citations), Molecular Biology (1.9k citations), Pharmacology (154 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.