Péter Mináry

2.0k total citations
33 papers, 1.4k citations indexed

About

Péter Mináry is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Péter Mináry has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Péter Mináry's work include RNA and protein synthesis mechanisms (12 papers), Advanced Chemical Physics Studies (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Péter Mináry is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Advanced Chemical Physics Studies (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Péter Mináry collaborates with scholars based in United States, United Kingdom and Hungary. Péter Mináry's co-authors include Mark E. Tuckerman, Radu Iftimie, Glenn Martyna, Michael Levitt, Lula Rosso, Zhongwei Zhu, Adelene Y. L. Sim, László Túri, Peter J. Rossky and Samuel Demharter and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Péter Mináry

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Mináry United States 20 628 534 339 120 117 33 1.4k
Lianqing Zheng United States 23 628 1.0× 367 0.7× 687 2.0× 121 1.0× 135 1.2× 70 1.8k
Alexander J. Sodt United States 23 1.2k 1.9× 832 1.6× 218 0.6× 164 1.4× 117 1.0× 69 1.9k
Christian Rischel Denmark 23 778 1.2× 683 1.3× 389 1.1× 105 0.9× 149 1.3× 47 2.4k
Claude Pradervand Switzerland 15 1.1k 1.8× 332 0.6× 600 1.8× 214 1.8× 110 0.9× 31 1.9k
Vinod Krishna United States 21 790 1.3× 475 0.9× 701 2.1× 164 1.4× 166 1.4× 45 2.1k
W. Schildkamp United States 14 818 1.3× 289 0.5× 654 1.9× 232 1.9× 75 0.6× 35 1.7k
Joachim Friedrich Germany 28 240 0.4× 934 1.7× 508 1.5× 280 2.3× 155 1.3× 74 2.1k
Antti Lignell Finland 22 347 0.6× 797 1.5× 280 0.8× 242 2.0× 39 0.3× 40 1.7k
Hyung‐June Woo United States 14 663 1.1× 228 0.4× 446 1.3× 171 1.4× 54 0.5× 24 1.3k
Ralf Biehl Germany 23 641 1.0× 299 0.6× 501 1.5× 138 1.1× 50 0.4× 61 1.3k

Countries citing papers authored by Péter Mináry

Since Specialization
Citations

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

Fields of papers citing papers by Péter Mináry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Mináry

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Mináry. A scholar is included among the top collaborators of Péter Mináry 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 Péter Mináry. Péter Mináry 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.
Mináry, Péter, et al.. (2025). Orthogonal Sequential Fusion in Multimodal Learning. 1–8. 1 indexed citations
2.
Moraes, Fábio Rogério de, et al.. (2025). Learning to utilize internal protein 3D nanoenvironment descriptors in predicting CRISPR–Cas9 off-target activity. NAR Genomics and Bioinformatics. 7(2). lqaf054–lqaf054.
3.
4.
Mináry, Péter, et al.. (2024). Learning to quantify uncertainty in off-target activity for CRISPR guide RNAs. Nucleic Acids Research. 52(18). e87–e87. 5 indexed citations
5.
Mináry, Péter, et al.. (2023). piCRISPR: Physically informed deep learning models for CRISPR/Cas9 off-target cleavage prediction. SHILAP Revista de lepidopterología. 3. 100075–100075. 14 indexed citations
6.
Mináry, Péter, et al.. (2022). Comprehensive computational analysis of epigenetic descriptors affecting CRISPR-Cas9 off-target activity. BMC Genomics. 23(1). 805–805. 12 indexed citations
7.
Chang, Jeng-Yih, Zhicheng Cui, Kailu Yang, et al.. (2020). Hierarchical natural move Monte Carlo refines flexible RNA structures into cryo-EM densities. RNA. 26(12). 1755–1766. 6 indexed citations
8.
Krawczyk, Konrad, Samuel Demharter, Bernhard Knapp, Charlotte M. Deane, & Péter Mináry. (2017). In silico structural modeling of multiple epigenetic marks on DNA. Bioinformatics. 34(1). 41–48. 5 indexed citations
9.
Demharter, Samuel, Bernhard Knapp, Charlotte M. Deane, & Péter Mináry. (2016). Modeling Functional Motions of Biological Systems by Customized Natural Moves. Biophysical Journal. 111(4). 710–721. 6 indexed citations
10.
Moraga, Ignacio, Gerlinde Wernig, Stephan Wilmes, et al.. (2015). Tuning Cytokine Receptor Signaling by Re-orienting Dimer Geometry with Surrogate Ligands. Cell. 160(6). 1196–1208. 123 indexed citations
11.
Knapp, Bernhard, Samuel Demharter, Charlotte M. Deane, & Péter Mináry. (2015). Exploring peptide/MHC detachment processes using hierarchical natural move Monte Carlo. Bioinformatics. 32(2). 181–186. 19 indexed citations
12.
Mináry, Péter & Michael Levitt. (2014). Training-free atomistic prediction of nucleosome occupancy. Proceedings of the National Academy of Sciences. 111(17). 6293–6298. 22 indexed citations
13.
Sim, Adelene Y. L., Péter Mináry, & Michael Levitt. (2012). Modeling nucleic acids. Current Opinion in Structural Biology. 22(3). 273–278. 73 indexed citations
14.
Sim, Adelene Y. L., Michael Levitt, & Péter Mináry. (2012). Modeling and design by hierarchical natural moves. Proceedings of the National Academy of Sciences. 109(8). 2890–2895. 38 indexed citations
15.
Mináry, Péter & Michael Levitt. (2010). Conformational Optimization with Natural Degrees of Freedom: A Novel Stochastic Chain Closure Algorithm. Journal of Computational Biology. 17(8). 993–1010. 22 indexed citations
16.
Mináry, Péter & Michael Levitt. (2007). Probing Protein Fold Space with a Simplified Model. Journal of Molecular Biology. 375(4). 920–933. 31 indexed citations
17.
Mináry, Péter & Mark E. Tuckerman. (2005). Reaction Mechanism of cis-1,3-Butadiene Addition to the Si(100)-2 × 1 Surface. Journal of the American Chemical Society. 127(4). 1110–1111. 23 indexed citations
18.
Mináry, Péter, Mark E. Tuckerman, & Glenn Martyna. (2004). Long Time Molecular Dynamics for Enhanced Conformational Sampling in Biomolecular Systems. Physical Review Letters. 93(15). 150201–150201. 84 indexed citations
19.
Mináry, Péter, et al.. (2004). Long range interactions on wires: A reciprocal space based formalism. The Journal of Chemical Physics. 121(23). 11949–11956. 21 indexed citations
20.
Mináry, Péter, Pál Jedlovszky, Mihaly Mezei, & László Túri. (2000). A Comprehensive Liquid Simulation Study of Neat Formic Acid. The Journal of Physical Chemistry B. 104(34). 8287–8294. 31 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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