Matej Praprotnik

3.5k total citations
67 papers, 2.5k citations indexed

About

Matej Praprotnik is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Matej Praprotnik has authored 67 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 28 papers in Biomedical Engineering and 22 papers in Molecular Biology. Recurrent topics in Matej Praprotnik's work include Nanopore and Nanochannel Transport Studies (21 papers), Block Copolymer Self-Assembly (17 papers) and Protein Structure and Dynamics (16 papers). Matej Praprotnik is often cited by papers focused on Nanopore and Nanochannel Transport Studies (21 papers), Block Copolymer Self-Assembly (17 papers) and Protein Structure and Dynamics (16 papers). Matej Praprotnik collaborates with scholars based in Slovenia, Germany and Switzerland. Matej Praprotnik's co-authors include Kurt Kremer, Luigi Delle Site, Dušanka Janežič, Julija Zavadlav, Rafael Delgado‐Buscalioni, ‪Siewert J. Marrink, Christoph Junghans, Janez Mavri, Manuel N. Melo and Rudolf Podgornik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Matej Praprotnik

65 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matej Praprotnik Slovenia 27 1.2k 975 824 743 388 67 2.5k
Dirk Reith Germany 22 1.3k 1.2× 682 0.7× 478 0.6× 614 0.8× 231 0.6× 87 2.9k
Haim Diamant Israel 28 739 0.6× 464 0.5× 497 0.6× 728 1.0× 349 0.9× 85 2.4k
W. G. Noid United States 30 2.4k 2.1× 1.9k 2.0× 828 1.0× 665 0.9× 799 2.1× 65 4.1k
Søren Toxværd Denmark 32 1.4k 1.2× 493 0.5× 837 1.0× 1000 1.3× 593 1.5× 120 3.0k
Christoph Junghans United States 20 882 0.8× 493 0.5× 382 0.5× 355 0.5× 316 0.8× 44 1.6k
Binny J. Cherayil India 23 594 0.5× 1.3k 1.3× 935 1.1× 568 0.8× 209 0.5× 105 2.9k
B. Pouligny France 26 969 0.8× 372 0.4× 544 0.7× 790 1.1× 183 0.5× 73 2.2k
Harald Pleiner Germany 33 668 0.6× 504 0.5× 603 0.7× 968 1.3× 525 1.4× 205 3.6k
Robert M. Suter United States 39 2.4k 2.1× 1.8k 1.9× 1.2k 1.5× 601 0.8× 377 1.0× 123 5.9k
Shigeyuki Komura Japan 26 915 0.8× 765 0.8× 604 0.7× 546 0.7× 431 1.1× 167 2.4k

Countries citing papers authored by Matej Praprotnik

Since Specialization
Citations

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

Fields of papers citing papers by Matej Praprotnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matej Praprotnik

This figure shows the co-authorship network connecting the top 25 collaborators of Matej Praprotnik. A scholar is included among the top collaborators of Matej Praprotnik 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 Matej Praprotnik. Matej Praprotnik 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.
Svenšek, Daniel, et al.. (2024). Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids. Computer Methods in Applied Mechanics and Engineering. 432. 117379–117379.
2.
Merzel, Franci, et al.. (2023). Sub-THz acoustic excitation of protein motion. The Journal of Chemical Physics. 159(13). 1 indexed citations
3.
Svenšek, Daniel, et al.. (2023). Analyte‐Driven Clustering of Bio‐Conjugated Magnetic Nanoparticles. Advanced Theory and Simulations. 6(5). 1 indexed citations
4.
Zavadlav, Julija, et al.. (2023). Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media. Journal of Chemical Theory and Computation. 20(1). 411–420. 8 indexed citations
5.
López, Núria, Luigi Del Debbio, Marc Baaden, et al.. (2021). Lessons learned from urgent computing in Europe: Tackling the COVID-19 pandemic. Proceedings of the National Academy of Sciences. 118(46). 4 indexed citations
6.
Cortes–Huerto, Robinson, Matej Praprotnik, Kurt Kremer, & Luigi Delle Site. (2021). From adaptive resolution to molecular dynamics of open systems. The European Physical Journal B. 94(9). 189–189. 18 indexed citations
7.
Zavadlav, Julija, et al.. (2018). Open-Boundary Molecular Dynamics of a DNA Molecule in a Hybrid Explicit/Implicit Salt Solution. Biophysical Journal. 114(10). 2352–2362. 19 indexed citations
8.
Zavadlav, Julija, Rudolf Podgornik, & Matej Praprotnik. (2017). Order and interactions in DNA arrays: Multiscale molecular dynamics simulation. Scientific Reports. 7(1). 4775–4775. 23 indexed citations
9.
Cruz-Chú, Eduardo R., et al.. (2017). On phonons and water flow enhancement in carbon nanotubes. Nature Nanotechnology. 12(12). 1106–1108. 17 indexed citations
10.
Zavadlav, Julija, et al.. (2017). Adaptive resolution simulations of biomolecular systems. European Biophysics Journal. 46(8). 821–835. 14 indexed citations
11.
Zavadlav, Julija, Manuel N. Melo, Ana V. Cunha, et al.. (2014). Adaptive Resolution Simulation of MARTINI Solvents. Journal of Chemical Theory and Computation. 10(6). 2591–2598. 45 indexed citations
12.
Praprotnik, Matej & Luigi Delle Site. (2012). Multiscale Molecular Modeling. Methods in molecular biology. 924. 567–583. 7 indexed citations
13.
Konc, Janez, et al.. (2011). ENZO: A Web Tool for Derivation and Evaluation of Kinetic Models of Enzyme Catalyzed Reactions. PLoS ONE. 6(7). e22265–e22265. 62 indexed citations
14.
Junghans, Christoph, Matej Praprotnik, & Kurt Kremer. (2007). Transport properties controlled by a thermostat: An extended dissipative particle dynamics thermostat. Soft Matter. 4(1). 156–161. 117 indexed citations
15.
Praprotnik, Matej, et al.. (2007). New all‐atom force field for molecular dynamics simulation of an AlPO4‐34 molecular sieve. Journal of Computational Chemistry. 29(1). 122–129. 8 indexed citations
16.
Praprotnik, Matej, Kurt Kremer, & Luigi Delle Site. (2007). Adaptive molecular resolution via a continuous change of the phase space dimensionality. Physical Review E. 75(1). 17701–17701. 44 indexed citations
17.
Praprotnik, Matej, Luigi Delle Site, & Kurt Kremer. (2007). A macromolecule in a solvent: Adaptive resolution molecular dynamics simulation. The Journal of Chemical Physics. 126(13). 134902–134902. 64 indexed citations
18.
Praprotnik, Matej, Luigi Delle Site, & Kurt Kremer. (2006). Adaptive resolution scheme for efficient hybrid atomistic-mesoscale molecular dynamics simulations of dense liquids. Physical Review E. 73(6). 66701–66701. 99 indexed citations
19.
Praprotnik, Matej & Dušanka Janežič. (2002). The split integration symplectic method.. PubMed. 7(1). 147–8. 3 indexed citations
20.
Janežič, Dušanka & Matej Praprotnik. (2001). Symplectic molecular dynamics integration using normal mode analysis. International Journal of Quantum Chemistry. 84(1). 2–12. 13 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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