Maciej Błaszczyk
- Molecular Biology
- Infectious Diseases top 10%
- Health top 5%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Co-authors
- Andrzej KolińskiSebastian KmiecikMateusz KurcińskiMichał H. JamrózMaciej RadekBartosz SzmydFilip Franciszek KarugaAdrian Bartoszek
- Topics
- Computational Drug Discovery Methods (6 papers)Protein Structure and Dynamics (5 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
- Partner nations
- PolandUnited StatesSouth Africa
In The Last Decade
Maciej Błaszczyk
22 papers receiving 990 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 509
- Infectious Diseases 197
- Health 190
- Materials Chemistry 110
- Computational Theory and Mathematics 101
Countries citing papers authored by Maciej Błaszczyk
This map shows the geographic impact of Maciej Błaszczyk'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 Maciej Błaszczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Błaszczyk more than expected).
Fields of papers citing papers by Maciej Błaszczyk
This network shows the impact of papers produced by Maciej Błaszczyk. 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 Maciej Błaszczyk. The network helps show where Maciej Błaszczyk may publish in the future.
Co-authorship network of co-authors of Maciej Błaszczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Błaszczyk. A scholar is included among the top collaborators of Maciej Błaszczyk 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 Maciej Błaszczyk. Maciej Błaszczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 110 | |
| 6 | 33 | |
| 7 | 34 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 30 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 115 | |
| 15 | CABS-dock web server for the flexible docking of peptides to proteins without prior knowledge of the binding sitebreakdown → | 303 |
| 16 | 68 | |
| 17 | 27 | |
| 18 | Obstructive jaundice and hydatid cysts mimicking choledochal cyst. | 7 |
| 19 | 27 | |
| 20 | 76 |
About Maciej Błaszczyk
Maciej Błaszczyk is a scholar working on Computational Theory and Mathematics, Biophysics and Neurology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Health (190 citations), Infectious Diseases (197 citations) and Modeling and Simulation (48 citations). Maciej Błaszczyk has collaborated with scholars based in Poland, United States and South Africa. Frequent co-authors include Andrzej Koliński, Sebastian Kmiecik, Mateusz Kurciński, Michał H. Jamróz, Maciej Radek, Bartosz Szmyd, Filip Franciszek Karuga, Adrian Bartoszek, Łukasz Wieteska and Maksim Kouza. Their work appears in journals such as Nucleic Acids Research, International Journal of Molecular Sciences and Biophysical Journal.
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.