Jakub Rydzewski

1.6k total citations
25 papers, 248 citations indexed

About

Jakub Rydzewski is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jakub Rydzewski has authored 25 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Materials Chemistry and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jakub Rydzewski's work include Protein Structure and Dynamics (12 papers), Machine Learning in Materials Science (6 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Jakub Rydzewski is often cited by papers focused on Protein Structure and Dynamics (12 papers), Machine Learning in Materials Science (6 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Jakub Rydzewski collaborates with scholars based in Poland, United States and Azerbaijan. Jakub Rydzewski's co-authors include Wiesław Nowak, Ómar Valsson, Ming Chen, Helmut Grubmüller, Tushar K. Ghosh, Krzysztof Kuczera, Jacek Błażewicz, Wojciech Strzałka, Bruno Lapied and Giuseppe Nicosia and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Jakub Rydzewski

23 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Rydzewski Poland 9 189 87 52 32 24 25 248
Z. Faidon Brotzakis United Kingdom 15 284 1.5× 85 1.0× 79 1.5× 68 2.1× 50 2.1× 30 500
Mauro L. Mugnai United States 11 248 1.3× 82 0.9× 20 0.4× 54 1.7× 36 1.5× 26 385
Mookyung Cheon South Korea 14 578 3.1× 159 1.8× 63 1.2× 23 0.7× 23 1.0× 36 759
Fahimeh Baftizadeh United States 8 260 1.4× 115 1.3× 30 0.6× 42 1.3× 16 0.7× 11 356
Marc Fasnacht United States 6 261 1.4× 90 1.0× 45 0.9× 14 0.4× 8 0.3× 8 348
Wanda Niemyska Poland 11 358 1.9× 103 1.2× 64 1.2× 88 2.8× 12 0.5× 23 509
Mattia Bernetti Italy 11 390 2.1× 86 1.0× 173 3.3× 40 1.3× 16 0.7× 22 477
Juliane Adler Germany 15 229 1.2× 39 0.4× 42 0.8× 14 0.4× 34 1.4× 19 391
Sergio Bacallado United States 8 228 1.2× 70 0.8× 68 1.3× 42 1.3× 17 0.7× 19 353
Xinqiang Ding United States 13 363 1.9× 70 0.8× 66 1.3× 41 1.3× 9 0.4× 19 444

Countries citing papers authored by Jakub Rydzewski

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Rydzewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Rydzewski

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Rydzewski. A scholar is included among the top collaborators of Jakub Rydzewski 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 Jakub Rydzewski. Jakub Rydzewski 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.
Rydzewski, Jakub, et al.. (2025). Machine learning of slow collective variables and enhanced sampling via spatial techniques. Chemical Physics Reviews. 6(1). 6 indexed citations
2.
Rydzewski, Jakub, et al.. (2024). Learning Markovian dynamics with spectral maps. The Journal of Chemical Physics. 160(9). 4 indexed citations
3.
Rydzewski, Jakub, et al.. (2024). Structural visualization of inhibitor binding in prolyl oligopeptidase. PubMed. 5(3). 32105–32105. 1 indexed citations
4.
Rydzewski, Jakub. (2024). Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles. Journal of Chemical Theory and Computation. 4 indexed citations
5.
Rydzewski, Jakub, Ming Chen, & Ómar Valsson. (2023). Manifold learning in atomistic simulations: a conceptual review. Machine Learning Science and Technology. 4(3). 31001–31001. 9 indexed citations
6.
Rydzewski, Jakub, et al.. (2023). Toward Overcoming Pyrethroid Resistance in Mosquito Control: The Role of Sodium Channel Blocker Insecticides. International Journal of Molecular Sciences. 24(12). 10334–10334.
7.
Rydzewski, Jakub. (2023). Selecting High-Dimensional Representations of Physical Systems by Reweighted Diffusion Maps. The Journal of Physical Chemistry Letters. 14(11). 2778–2783. 8 indexed citations
8.
Rydzewski, Jakub, Ming Chen, & Ómar Valsson. (2023). Manifold Learning in Atomistic Simulations: A Conceptual Review. arXiv (Cornell University). 1 indexed citations
9.
Rydzewski, Jakub, et al.. (2022). Inhibition-mediated changes in prolyl oligopeptidase dynamics possibly related to α-synuclein aggregation. Physical Chemistry Chemical Physics. 24(7). 4366–4373. 6 indexed citations
10.
Rydzewski, Jakub, et al.. (2022). Enhancing the Inhomogeneous Photodynamics of Canonical Bacteriophytochrome. The Journal of Physical Chemistry B. 126(14). 2647–2657. 5 indexed citations
11.
Rydzewski, Jakub & Ómar Valsson. (2021). Multiscale Reweighted Stochastic Embedding: Deep Learning of Collective Variables for Enhanced Sampling. The Journal of Physical Chemistry A. 125(28). 6286–6302. 28 indexed citations
12.
Rydzewski, Jakub. (2019). maze: Heterogeneous ligand unbinding along transient protein tunnels. Computer Physics Communications. 247. 106865–106865. 10 indexed citations
13.
14.
Rydzewski, Jakub, et al.. (2018). Kinetics of Huperzine A Dissociation from Acetylcholinesterase via Multiple Unbinding Pathways. Journal of Chemical Theory and Computation. 14(6). 2843–2851. 21 indexed citations
15.
Rydzewski, Jakub & Wiesław Nowak. (2018). Photoinduced transport in an H64Q neuroglobin antidote for carbon monoxide poisoning. The Journal of Chemical Physics. 148(11). 115101–115101. 5 indexed citations
16.
Rydzewski, Jakub & Wiesław Nowak. (2017). Ligand diffusion in proteins via enhanced sampling in molecular dynamics. Physics of Life Reviews. 22-23. 58–74. 51 indexed citations
17.
Rydzewski, Jakub & Wiesław Nowak. (2017). Rare-event sampling in ligand diffusion. Physics of Life Reviews. 22-23. 85–87. 3 indexed citations
18.
Rydzewski, Jakub & Wiesław Nowak. (2017). Thermodynamics of camphor migration in cytochrome P450cam by atomistic simulations. Scientific Reports. 7(1). 7736–7736. 9 indexed citations
19.
Rydzewski, Jakub, Wojciech Strzałka, & Wiesław Nowak. (2015). Nanomechanics of PCNA: A protein-made DNA sliding clamp. Chemical Physics Letters. 634. 236–242. 2 indexed citations
20.
Rydzewski, Jakub, et al.. (2015). Communication: Entropic measure to prevent energy over-minimization in molecular dynamics simulations. The Journal of Chemical Physics. 143(17). 171103–171103. 8 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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