Jakub Rydzewski
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
Papers in
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- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 2
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- Machine Learning in Materials Science 6
- Co-authors
- Wiesław Nowak (12 shared papers)Ómar Valsson (4 shared papers)Ming Chen (3 shared papers)Helmut Grubmüller (1 shared paper)Tushar K. Ghosh (1 shared paper)Krzysztof Kuczera (1 shared paper)Jacek Błażewicz (1 shared paper)Bruno Lapied (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (4 papers)The Journal of Chemical Physics (3 papers)The Journal of Physical Chemistry Letters (2 papers)Physics of Life Reviews (2 papers)Scientific Reports (1 paper)
- Partner nations
- PolandAzerbaijanUnited States
In The Last Decade
Jakub Rydzewski
24 papers receiving 254 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 52
- Molecular Biology 190
- Materials Chemistry 89
- Condensed Matter Physics 22
- Pharmacology 12
Countries citing papers authored by Jakub Rydzewski
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
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-authors
The 10 scholars most cited alongside Jakub Rydzewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2016 | 36 | |
| 3 | 2021 | 29 | |
| 4 | 2018 | 21 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2023 | 2 |
About Jakub Rydzewski
Jakub Rydzewski is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 256 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Machine Learning in Materials Science (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Theoretical and Computational Physics (3 papers), RNA and protein synthesis mechanisms (2 papers), Neural dynamics and brain function (2 papers), Peptidase Inhibition and Analysis (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Computational Theory and Mathematics (52 citations), Molecular Biology (190 citations), Materials Chemistry (89 citations), Condensed Matter Physics (22 citations) and Pharmacology (12 citations). Jakub Rydzewski has collaborated with scholars based in Poland, Azerbaijan and United States. Frequent co-authors include Wiesław Nowak, Ómar Valsson, Ming Chen, Helmut Grubmüller, Tushar K. Ghosh, Krzysztof Kuczera, Jacek Błażewicz, Bruno Lapied, Wojciech Strzałka and Giuseppe Nicosia. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Chemical Physics, The Journal of Physical Chemistry Letters, Physics of Life Reviews and Scientific Reports.
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.