Michał Rostkowski
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Enzyme Catalysis and Immobilization
- Photosynthetic Processes and Mechanisms
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Chemical Reaction Mechanisms 7
- Co-authors
- Jan H. JensenChresten R. SøndergaardMats H. M. OlssonPatrik RydbergPiotr PanethOla SpjuthAgnieszka Dybała‐DefratykaLars Olsen
In The Last Decade
Michał Rostkowski
25 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.6k
- Computational Theory and Mathematics 748
- Biochemistry 229
- Pharmacology 200
- Organic Chemistry 628
Countries citing papers authored by Michał Rostkowski
This map shows the geographic impact of Michał Rostkowski'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 Michał Rostkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Rostkowski more than expected).
Fields of papers citing papers by Michał Rostkowski
This network shows the impact of papers produced by Michał Rostkowski. 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 Michał Rostkowski. The network helps show where Michał Rostkowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michał Rostkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2021 | 8 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 22 | |
| 5 | 2018 | 12 | |
| 6 | 2018 | 3 | |
| 7 | 2014 | 1 | |
| 8 | 2013 | 55 | |
| 9 | PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions | 2011 | 26 |
| 10 | 2011 | 345 | |
| 11 | PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKaPredictions Hit paper breakdown → | 2011 | 3276 |
| 12 | 2008 | 7 | |
| 13 | 2008 | 6 | |
| 14 | 2008 | 6 | |
| 15 | Charge localization in monothiophosphate monoanions | 2007 | 2 |
| 16 | 2007 | 3 | |
| 17 | 2005 | 24 | |
| 18 | 2005 | 12 | |
| 19 | 2004 | 12 | |
| 20 | 2004 | 23 |
About Michał Rostkowski
Michał Rostkowski is a scholar working on Biochemistry, Organic Chemistry, Biophysics, Pharmaceutical Science and Computational Theory and Mathematics, having authored 25 papers that have together received 5.3k indexed citations. Recurring topics across this work include Chemical Reaction Mechanisms (7 papers), Computational Drug Discovery Methods (5 papers), Advanced Chemical Physics Studies (5 papers), Protein Structure and Dynamics (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Electron Spin Resonance Studies (2 papers), RNA modifications and cancer (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Computational Theory and Mathematics (748 citations), Biochemistry (229 citations), Pharmacology (200 citations) and Organic Chemistry (628 citations). Michał Rostkowski has collaborated with scholars based in Poland, Denmark and Sweden. Frequent co-authors include Jan H. Jensen, Chresten R. Søndergaard, Mats H. M. Olsson, Patrik Rydberg, Piotr Paneth, Ola Spjuth, Agnieszka Dybała‐Defratyka, Lars Olsen, Kenneth Charles Westaway and Olle Matsson. Their work appears in journals such as The Journal of Physical Chemistry B, Archives of Biochemistry and Biophysics, The Journal of Organic Chemistry, Journal of Chemical Theory and Computation 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.