Miroslav Krepl

2.6k total citations · 1 hit paper
55 papers, 1.8k citations indexed

About

Miroslav Krepl is a scholar working on Molecular Biology, Ecology and Virology. According to data from OpenAlex, Miroslav Krepl has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 6 papers in Ecology and 3 papers in Virology. Recurrent topics in Miroslav Krepl's work include RNA and protein synthesis mechanisms (41 papers), DNA and Nucleic Acid Chemistry (24 papers) and RNA modifications and cancer (23 papers). Miroslav Krepl is often cited by papers focused on RNA and protein synthesis mechanisms (41 papers), DNA and Nucleic Acid Chemistry (24 papers) and RNA modifications and cancer (23 papers). Miroslav Krepl collaborates with scholars based in Czechia, United States and Germany. Miroslav Krepl's co-authors include Jiřı́ Šponer, Michal Otyepka, Pavel Banáš, Petr Jurečka, Petr Stadlbauer, Marie Zgarbová, Jaroslav Koča, Giovanni Bussi, Thomas E. Cheatham and Petra Kührová and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Miroslav Krepl

53 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview

2018 398 citations Jiřı́ Šponer, Giovanni Bussi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Miroslav Krepl Czechia	22	1.7k	204	107	86	78	55	1.8k
Federica Battistini Spain	17	1.5k 0.9×	172 0.8×	120 1.1×	110 1.3×	79 1.0×	34	1.7k
Iván Ivani Spain	9	1.2k 0.7×	131 0.6×	116 1.1×	57 0.7×	83 1.1×	10	1.3k
Ignacio Faustino Spain	12	1.3k 0.8×	170 0.8×	212 2.0×	77 0.9×	96 1.2×	20	1.5k
Agnes Noy United Kingdom	19	1.7k 1.0×	315 1.5×	165 1.5×	142 1.7×	134 1.7×	33	1.9k
Jürgen Walther Spain	7	1.0k 0.6×	145 0.7×	103 1.0×	56 0.7×	68 0.9×	7	1.1k
Stephen R. Lynch United States	16	974 0.6×	73 0.4×	68 0.6×	74 0.9×	53 0.7×	27	1.2k
Alexandra Balaceanu Spain	9	912 0.5×	130 0.6×	95 0.9×	50 0.6×	53 0.7×	9	1.1k
Ana Maria Soto United States	16	914 0.5×	63 0.3×	63 0.6×	138 1.6×	65 0.8×	34	1.1k
Patrick Weinkam United States	14	1.3k 0.7×	134 0.7×	323 3.0×	57 0.7×	87 1.1×	15	1.5k
Erik D. Holmstrom United States	20	905 0.5×	72 0.4×	85 0.8×	47 0.5×	85 1.1×	32	1.1k

Countries citing papers authored by Miroslav Krepl

Since Specialization

Citations

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

Fields of papers citing papers by Miroslav Krepl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Krepl

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Krepl. A scholar is included among the top collaborators of Miroslav Krepl 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 Miroslav Krepl. Miroslav Krepl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mlýnský, Vojtěch, Jiřı́ Šponer, Martin Pykal, et al.. (2025). The Kink-Turn 7 Motif: An Additional Test for RNA Force Field Performance. Journal of Chemical Theory and Computation. 21(24). 12796–12809.

Vögele, Jennifer, Elke Duchardt‐Ferner, Jasleen Kaur Bains, et al.. (2024). Structure of an internal loop motif with three consecutive U•U mismatches from stem–loop 1 in the 3′-UTR of the SARS-CoV-2 genomic RNA. Nucleic Acids Research. 52(11). 6687–6706. 5 indexed citations

Mlýnský, Vojtěch, Martin Pykal, Jiřı́ Šponer, et al.. (2024). Comprehensive Assessment of Force-Field Performance in Molecular Dynamics Simulations of DNA/RNA Hybrid Duplexes. Journal of Chemical Theory and Computation. 20(15). 6917–6929. 13 indexed citations

Meyer, J, Miroslav Krepl, Karine Lapouge, et al.. (2024). The Drosophila RNA binding protein Hrp48 binds a specific RNA sequence of the msl-2 mRNA 3’ UTR to regulate translation. Biophysical Chemistry. 316. 107346–107346. 2 indexed citations

Bussi, Giovanni, Massimiliano Bonomi, Paraskevi Gkeka, et al.. (2024). RNA dynamics from experimental and computational approaches. Structure. 32(9). 1281–1287. 6 indexed citations

Krepl, Miroslav, et al.. (2024). Molecular Simulations to Investigate the Impact of N6-Methylation in RNA Recognition: Improving Accuracy and Precision of Binding Free Energy Prediction. The Journal of Physical Chemistry B. 128(37). 8896–8907. 2 indexed citations

Vögele, Jennifer, Elke Duchardt‐Ferner, Holger Kruse, et al.. (2023). Structural and dynamic effects of pseudouridine modifications on noncanonical interactions in RNA. RNA. 29(6). 790–807. 12 indexed citations

Šponer, Jiřı́, Giovanni Bussi, Vojtěch Mlýnský, et al.. (2023). Atomistic Picture of Opening–Closing Dynamics of DNA Holliday Junction Obtained by Molecular Simulations. Journal of Chemical Information and Modeling. 63(9). 2794–2809. 7 indexed citations

Krepl, Miroslav, et al.. (2022). Spontaneous binding of single-stranded RNAs to RRM proteins visualized by unbiased atomistic simulations with a rescaled RNA force field. Nucleic Acids Research. 50(21). 12480–12496. 13 indexed citations

10.

Simmons, C.R., Miroslav Krepl, Michael Matthies, et al.. (2022). The influence of Holliday junction sequence and dynamics on DNA crystal self-assembly. Nature Communications. 13(1). 3112–3112. 37 indexed citations

11.

Krepl, Miroslav, Tom Dendooven, Ben F. Luisi, & Jiřı́ Šponer. (2021). MD simulations reveal the basis for dynamic assembly of Hfq–RNA complexes. Journal of Biological Chemistry. 296. 100656–100656. 8 indexed citations

12.

Górecka, Karolina Maria, Miroslav Krepl, Aleksandra Szlachcic, et al.. (2019). RuvC uses dynamic probing of the Holliday junction to achieve sequence specificity and efficient resolution. Nature Communications. 10(1). 4102–4102. 23 indexed citations

13.

Krepl, Miroslav, et al.. (2018). Molecular basis for the increased affinity of an RNA recognition motif with re-engineered specificity: A molecular dynamics and enhanced sampling simulations study. PLoS Computational Biology. 14(12). e1006642–e1006642. 8 indexed citations

14.

Campagne, Sébastien, Miroslav Krepl, Jiřı́ Šponer, & Frédéric H.‐T. Allain. (2018). Combining NMR Spectroscopy and Molecular Dynamic Simulations to Solve and Analyze the Structure of Protein–RNA Complexes. Methods in enzymology on CD-ROM/Methods in enzymology. 614. 393–422. 6 indexed citations

15.

Krepl, Miroslav, Markus Blatter, Antoine Cléry, et al.. (2017). Structural study of the Fox-1 RRM protein hydration reveals a role for key water molecules in RRM-RNA recognition. Nucleic Acids Research. 45(13). 8046–8063. 25 indexed citations

16.

Figiel, Małgorzata, Miroslav Krepl, Sangwoo Park, et al.. (2017). Mechanism of polypurine tract primer generation by HIV-1 reverse transcriptase. Journal of Biological Chemistry. 293(1). 191–202. 20 indexed citations

17.

Figiel, Małgorzata, et al.. (2017). Coordination between the polymerase and RNase H activity of HIV-1 reverse transcriptase. Nucleic Acids Research. 45(6). gkx004–gkx004. 31 indexed citations

18.

Krepl, Miroslav, Antoine Cléry, Markus Blatter, Frédéric H.‐T. Allain, & Jiřı́ Šponer. (2016). Synergy between NMR measurements and MD simulations of protein/RNA complexes: application to the RRMs, the most common RNA recognition motifs. Nucleic Acids Research. 44(13). 6452–6470. 40 indexed citations

19.

Estarellas, Carolina, Michal Otyepka, Jaroslav Koča, et al.. (2014). Molecular dynamic simulations of protein/RNA complexes: CRISPR/Csy4 endoribonuclease. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(5). 1072–1090. 17 indexed citations

20.

Stadlbauer, Petr, Miroslav Krepl, Thomas E. Cheatham, Jaroslav Koča, & Jiřı́ Šponer. (2013). Structural dynamics of possible late-stage intermediates in folding of quadruplex DNA studied by molecular simulations. Nucleic Acids Research. 41(14). 7128–7143. 95 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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