Mateusz Kurciński
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Co-authors
- Sebastian KmiecikAndrzej KolińskiMaciej BłaszczykMaciej Paweł CiemnyMichał H. JamrózAleksander KuriataNawsad AlamOra Schueler‐Furman
- Topics
- Protein Structure and Dynamics (12 papers)Computational Drug Discovery Methods (8 papers)Enzyme Structure and Function (8 papers)
- Partner nations
- PolandUnited StatesSpain
In The Last Decade
Mateusz Kurciński
28 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Computational Theory and Mathematics 256
- Materials Chemistry 219
- Radiology, Nuclear Medicine and Imaging 186
- Oncology 124
Countries citing papers authored by Mateusz Kurciński
This map shows the geographic impact of Mateusz Kurciński'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 Mateusz Kurciński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Kurciński more than expected).
Fields of papers citing papers by Mateusz Kurciński
This network shows the impact of papers produced by Mateusz Kurciński. 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 Mateusz Kurciński. The network helps show where Mateusz Kurciński may publish in the future.
Co-authorship network of co-authors of Mateusz Kurciński
This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Kurciński. A scholar is included among the top collaborators of Mateusz Kurciński 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 Mateusz Kurciński. Mateusz Kurciński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 8 | |
| 3 | 59 | |
| 4 | 24 | |
| 5 | 121 | |
| 6 | 30 | |
| 7 | 88 | |
| 8 | 201 | |
| 9 | 34 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 40 | |
| 13 | 115 | |
| 14 | CABS-dock web server for the flexible docking of peptides to proteins without prior knowledge of the binding sitebreakdown → | 303 |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 16 | |
| 19 | Modeling protein structure, dynamics and thermodynamics with reduced representation of conformational space | 1 |
| 20 | 22 |
About Mateusz Kurciński
Mateusz Kurciński is a scholar working on Computational Theory and Mathematics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Computational Theory and Mathematics (256 citations), Molecular Biology (1.1k citations) and Microbiology (58 citations). Mateusz Kurciński has collaborated with scholars based in Poland, United States and Spain. Frequent co-authors include Sebastian Kmiecik, Andrzej Koliński, Maciej Błaszczyk, Maciej Paweł Ciemny, Michał H. Jamróz, Aleksander Kuriata, Nawsad Alam, Ora Schueler‐Furman, Aleksandra E. Badaczewska-Dawid and Valentín Iglesias. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.
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.