Jakub Paś
Impact in
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- Computational Drug Discovery Methods
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- RNA modifications and cancer
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
- Plant Reproductive Biology 2
- CRISPR and Genetic Engineering 2
- Machine Learning in Bioinformatics 1
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- Plant Molecular Biology Research 1
- Co-authors
- Lucjan Wyrwicz (4 shared papers)Leszek Rychlewski (7 shared papers)Marcin von Grotthuss (5 shared papers)Marcin Feder (1 shared paper)Janusz M. Bujnicki (1 shared paper)Jan Barciszewski (3 shared papers)Grzegorz Koczyk (1 shared paper)Krzysztof Ginalski (1 shared paper)
- Journals
- Bioinformatics (2 papers)Gene (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)FEBS Letters (1 paper)FEBS Journal (1 paper)
- Partner nations
- Poland
In The Last Decade
Jakub Paś
11 papers receiving 283 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 47
- Molecular Biology 201
- Immunology and Allergy 16
- Infectious Diseases 35
- Animal Science and Zoology 14
Countries citing papers authored by Jakub Paś
This map shows the geographic impact of Jakub Paś'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 Jakub Paś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Paś more than expected).
Fields of papers citing papers by Jakub Paś
This network shows the impact of papers produced by Jakub Paś. 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 Jakub Paś. The network helps show where Jakub Paś may publish in the future.
Co-authors
The 17 scholars most cited alongside Jakub Paś, 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 | 2003 | 84 | |
| 2 | 2003 | 46 | |
| 3 | 2004 | 46 | |
| 4 | 2006 | 40 | |
| 5 | 2003 | 30 | |
| 6 | 2004 | 28 | |
| 7 | 2004 | 10 | |
| 8 | 2006 | 5 | |
| 9 | 2004 | 2 | |
| 10 | Two sequences encoding chalcone synthase in yellow lupin (Lupinus luteus l.) may have evolved by gene duplication. | 2004 | 1 |
| 11 | 2012 | 1 |
About Jakub Paś
Jakub Paś is a scholar working on Molecular Biology, Plant Science, Materials Chemistry, Computational Theory and Mathematics and Ecology, Evolution, Behavior and Systematics, having authored 11 papers that have together received 293 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers), Plant Reproductive Biology (2 papers), CRISPR and Genetic Engineering (2 papers), Plant Molecular Biology Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (47 citations), Molecular Biology (201 citations), Immunology and Allergy (16 citations), Infectious Diseases (35 citations) and Animal Science and Zoology (14 citations). Jakub Paś has collaborated with scholars based in Poland. Frequent co-authors include Lucjan Wyrwicz, Leszek Rychlewski, Marcin von Grotthuss, Marcin Feder, Janusz M. Bujnicki, Jan Barciszewski, Grzegorz Koczyk, Krzysztof Ginalski, Katarzyna Rolle and Stanisław Nowak. Their work appears in journals such as Bioinformatics, Gene, The International Journal of Biochemistry & Cell Biology, FEBS Letters and FEBS 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.