Dariusz Plewczyński
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Genetics top 10%
- Plant Science top 10%
- Co-authors
- Krzysztof GinalskiMichał ŁaźniewskiZiad Al BkhetanLeszek RychlewskiIndrajit SahaRafał AugustyniakSubhadip BasuUjjwal Maulik
- Topics
- Genomics and Chromatin Dynamics (40 papers)Machine Learning in Bioinformatics (31 papers)Protein Structure and Dynamics (28 papers)
- Partner nations
- PolandIndiaUnited States
In The Last Decade
Dariusz Plewczyński
157 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 174
- Molecular Biology 1.9k
- Computational Theory and Mathematics 602
- Materials Chemistry 208
- Genetics 187
- Plant Science 177
Countries citing papers authored by Dariusz Plewczyński
This map shows the geographic impact of Dariusz Plewczyński'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 Dariusz Plewczyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dariusz Plewczyński more than expected).
Fields of papers citing papers by Dariusz Plewczyński
This network shows the impact of papers produced by Dariusz Plewczyński. 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 Dariusz Plewczyński. The network helps show where Dariusz Plewczyński may publish in the future.
Co-authorship network of co-authors of Dariusz Plewczyński
This figure shows the co-authorship network connecting the top 25 collaborators of Dariusz Plewczyński. A scholar is included among the top collaborators of Dariusz Plewczyński 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 Dariusz Plewczyński. Dariusz Plewczyński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | 35 | |
| 17 | 30 | |
| 18 | 6 | |
| 19 | 40 | |
| 20 | Information-Sharing in Three Interacting Minds Solving a Simple Perceptual Task | 3 |
About Dariusz Plewczyński
Dariusz Plewczyński is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics, having authored 163 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (40 papers), Machine Learning in Bioinformatics (31 papers) and Protein Structure and Dynamics (28 papers). The work is most often cited by research in Computational Theory and Mathematics (602 citations), Molecular Biology (1.9k citations) and Biophysics (71 citations). Dariusz Plewczyński has collaborated with scholars based in Poland, India and United States. Frequent co-authors include Krzysztof Ginalski, Michał Łaźniewski, Ziad Al Bkhetan, Leszek Rychlewski, Indrajit Saha, Rafał Augustyniak, Subhadip Basu, Ujjwal Maulik, Uwe Koch and Stéphane A. Spieser. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.
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.