Máté Gyimesi

778 total citations
27 papers, 560 citations indexed

About

Máté Gyimesi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Máté Gyimesi has authored 27 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cell Biology. Recurrent topics in Máté Gyimesi's work include Cardiomyopathy and Myosin Studies (12 papers), DNA Repair Mechanisms (9 papers) and DNA and Nucleic Acid Chemistry (7 papers). Máté Gyimesi is often cited by papers focused on Cardiomyopathy and Myosin Studies (12 papers), DNA Repair Mechanisms (9 papers) and DNA and Nucleic Acid Chemistry (7 papers). Máté Gyimesi collaborates with scholars based in Hungary, United States and United Kingdom. Máté Gyimesi's co-authors include Mihály Kovács, András Málnási‐Csizmadia, Gábor M. Harami, Kata Sarlós, Anna Á. Rauscher, Bálint Kintses, Clive R. Bagshaw, Neil Billington, Keir C. Neuman and Wei Zeng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Máté Gyimesi

27 papers receiving 559 citations

Peers

Máté Gyimesi
Taku Kashiyama Japan
Marcin Wolny United Kingdom
Olga Nikolaeva Russia
Sherry Wanderling United States
Elizabeth Choe United States
Teresa Bonello United States
Marcus J. Horn United States
Serena Sirigu France
Holger Schmid Germany
Quinn Kleerekoper United States
Taku Kashiyama Japan
Máté Gyimesi
Citations per year, relative to Máté Gyimesi Máté Gyimesi (= 1×) peers Taku Kashiyama

Countries citing papers authored by Máté Gyimesi

Since Specialization
Citations

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

Fields of papers citing papers by Máté Gyimesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Máté Gyimesi

This figure shows the co-authorship network connecting the top 25 collaborators of Máté Gyimesi. A scholar is included among the top collaborators of Máté Gyimesi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Máté Gyimesi. Máté Gyimesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Harami, Gábor M., János Pálinkás, Yeonee Seol, et al.. (2022). The toposiomerase IIIalpha-RMI1-RMI2 complex orients human Bloom’s syndrome helicase for efficient disruption of D-loops. Nature Communications. 13(1). 654–654. 12 indexed citations
2.
Suthar, Sharad Kumar, et al.. (2021). Chiral HPLC separation of enantiomeric blebbistatin derivatives and racemization analysis in vertebrate tissues. Journal of Pharmaceutical and Biomedical Analysis. 204. 114246–114246. 2 indexed citations
3.
Gyimesi, Máté, Anna Á. Rauscher, Sharad Kumar Suthar, et al.. (2021). Improved Inhibitory and Absorption, Distribution, Metabolism, Excretion, and Toxicology (ADMET) Properties of Blebbistatin Derivatives Indicate That Blebbistatin Scaffold Is Ideal for drug Development Targeting Myosin-2. Journal of Pharmacology and Experimental Therapeutics. 376(3). 358–373. 6 indexed citations
4.
Suthar, Sharad Kumar, et al.. (2020). SAR Analysis of Linker Derivatives of the Smooth Muscle Myosin Specific CK-571 Compound. Biophysical Journal. 118(3). 495a–495a. 1 indexed citations
5.
Gyimesi, Máté, Sharad Kumar Suthar, Carlos Kikuti, et al.. (2020). Single Residue Variation in Skeletal Muscle Myosin Enables Direct and Selective Drug Targeting for Spasticity and Muscle Stiffness. Cell. 183(2). 335–346.e13. 25 indexed citations
6.
Gyimesi, Máté, et al.. (2020). The New-Generation Muscle Relaxant MPH-220 Dissolves Spasticity in Muscles After Cns Injury - a Promising Drug to Address Post-Stroke Spasticity. Biophysical Journal. 118(3). 434a–434a. 1 indexed citations
7.
Gyimesi, Máté, Boglárka H. Várkuti, Miklós Képiró, et al.. (2020). Effect of allosteric inhibition of non-muscle myosin 2 on its intracellular diffusion. Scientific Reports. 10(1). 13341–13341. 5 indexed citations
8.
Máthé, Domokos, Krisztián Szigeti, Nikolett Hegedűs, et al.. (2020). Direct myosin-2 inhibition enhances cerebral perfusion resulting in functional improvement after ischemic stroke. Theranostics. 10(12). 5341–5356. 10 indexed citations
9.
Rauscher, Anna Á., Máté Gyimesi, Mihály Kovács, & András Málnási‐Csizmadia. (2018). Targeting Myosin by Blebbistatin Derivatives: Optimization and Pharmacological Potential. Trends in Biochemical Sciences. 43(9). 700–713. 72 indexed citations
10.
Harami, Gábor M., Yeonee Seol, Máté Gyimesi, et al.. (2017). RecQ helicase triggers a binding mode change in the SSB–DNA complex to efficiently initiate DNA unwinding. Nucleic Acids Research. 45(20). 11878–11890. 20 indexed citations
11.
12.
Sarlós, Kata, Máté Gyimesi, Zoltán Kele, & Mihály Kovács. (2014). Mechanism of RecQ helicase mechanoenzymatic coupling reveals that the DNA interactions of the ADP-bound enzyme control translocation run terminations. Nucleic Acids Research. 43(2). 1090–1097. 4 indexed citations
13.
Harami, Gábor M., Máté Gyimesi, & Mihály Kovács. (2013). From keys to bulldozers: expanding roles for winged helix domains in nucleic-acid-binding proteins. Trends in Biochemical Sciences. 38(7). 364–371. 68 indexed citations
14.
Gyimesi, Máté, Neil Billington, Kata Sarlós, et al.. (2013). Visualization of human Bloom's syndrome helicase molecules bound to homologous recombination intermediates. The FASEB Journal. 27(12). 4954–4964. 13 indexed citations
15.
Gyimesi, Máté, Kata Sarlós, Imre Derényi, & Mihály Kovács. (2010). Streamlined determination of processive run length and mechanochemical coupling of nucleic acid motor activities. Nucleic Acids Research. 38(7). e102–e102. 11 indexed citations
16.
Gyimesi, Máté, Kata Sarlós, & Mihály Kovács. (2010). Processive translocation mechanism of the human Bloom’s syndrome helicase along single-stranded DNA. Nucleic Acids Research. 38(13). 4404–4414. 37 indexed citations
17.
Billington, Neil, Máté Gyimesi, Bálint Kintses, et al.. (2010). Myosin complexed with ADP and blebbistatin reversibly adopts a conformation resembling the start point of the working stroke. Proceedings of the National Academy of Sciences. 107(15). 6799–6804. 36 indexed citations
18.
Gyimesi, Máté, Bálint Kintses, Andrea Bodor, et al.. (2008). The Mechanism of the Reverse Recovery Step, Phosphate Release, and Actin Activation of Dictyostelium Myosin II. Journal of Biological Chemistry. 283(13). 8153–8163. 40 indexed citations
19.
Kintses, Bálint, Máté Gyimesi, David Pearson, et al.. (2007). Reversible movement of switch 1 loop of myosin determines actin interaction. The EMBO Journal. 26(1). 265–274. 39 indexed citations
20.
Kintses, Bálint, Zoltán Boldizsár Simon, Máté Gyimesi, et al.. (2006). Enzyme Kinetics above Denaturation Temperature: A Temperature-Jump/Stopped-Flow Apparatus. Biophysical Journal. 91(12). 4605–4610. 11 indexed citations

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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