Michał Nowotka
- Computational Theory and Mathematics top 0.1%
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Pharmacology top 2%
- Organic Chemistry top 5%
- Co-authors
- Anna GaultonJohn P. OveringtonMark DaviesGeorge PapadatosLouisa J. BellisAnne HerseyA. Patrícia BentoJon Chambers
- Topics
- Computational Drug Discovery Methods (7 papers)Bioinformatics and Genomic Networks (5 papers)Distributed and Parallel Computing Systems (3 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United KingdomSwitzerlandRussia
In The Last Decade
Michał Nowotka
10 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computational Theory and Mathematics 2.2k
- Molecular Biology 2.1k
- Materials Chemistry 587
- Pharmacology 493
- Organic Chemistry 353
Countries citing papers authored by Michał Nowotka
This map shows the geographic impact of Michał Nowotka'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 Nowotka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Nowotka more than expected).
Fields of papers citing papers by Michał Nowotka
This network shows the impact of papers produced by Michał Nowotka. 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 Nowotka. The network helps show where Michał Nowotka may publish in the future.
Co-authorship network of co-authors of Michał Nowotka
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Nowotka. A scholar is included among the top collaborators of Michał Nowotka 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 Michał Nowotka. Michał Nowotka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | The ChEMBL database in 2017breakdown → | 1589 |
| 3 | ChEMBL web services: streamlining access to drug discovery data and utilitiesbreakdown → | 464 |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | The ChEMBL bioactivity database: an updatebreakdown → | 1117 |
| 8 | 10 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 9 |
About Michał Nowotka
Michał Nowotka is a scholar working on Computational Theory and Mathematics, Information Systems and Management and Pharmacology, having authored 11 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (2.2k citations), Molecular Biology (2.1k citations) and Pharmacology (493 citations). Michał Nowotka has collaborated with scholars based in United Kingdom, Switzerland and Russia. Frequent co-authors include Anna Gaulton, John P. Overington, Mark Davies, George Papadatos, Louisa J. Bellis, Anne Hersey, A. Patrícia Bento, Jon Chambers, Francis Atkinson and Nathan Dedman. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología 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.