Wiktor Jurkowski
Impact in
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- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
Papers in ⓘ
- Co-authors
- Antonio del Sol (5 shared papers)Isaac Crespo (4 shared papers)Irena Roterman (5 shared papers)Leszek Konieczny (4 shared papers)Hiroaki Kitano (2 shared papers)Thanneer M. Perumal (2 shared papers)Michał Bryliński (3 shared papers)Kazuhiro Fujita (1 shared paper)
- Journals
- BMC Systems Biology (2 papers)Molecular Membrane Biology (2 papers)Current Drug Metabolism (1 paper)Molecular & Cellular Proteomics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- LuxembourgSwedenPoland
In The Last Decade
Wiktor Jurkowski
17 papers receiving 475 citations
Peers
Comparison fields: 5 of 87
- Neurology 45
- Molecular Biology 347
- Cellular and Molecular Neuroscience 90
- Neurology 66
- Biological Psychiatry 8
Countries citing papers authored by Wiktor Jurkowski
This map shows the geographic impact of Wiktor Jurkowski'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 Wiktor Jurkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wiktor Jurkowski more than expected).
Fields of papers citing papers by Wiktor Jurkowski
This network shows the impact of papers produced by Wiktor Jurkowski. 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 Wiktor Jurkowski. The network helps show where Wiktor Jurkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Wiktor Jurkowski, 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 | 2013 | 169 | |
| 2 | 2014 | 46 | |
| 3 | 2014 | 40 | |
| 4 | 2012 | 34 | |
| 5 | 2004 | 32 | |
| 6 | 2013 | 29 | |
| 7 | 2004 | 19 | |
| 8 | 2006 | 19 | |
| 9 | 2012 | 18 | |
| 10 | 2012 | 17 | |
| 11 | 2004 | 16 | |
| 12 | 2010 | 13 | |
| 13 | 2011 | 10 | |
| 14 | 2009 | 7 | |
| 15 | 2012 | 5 | |
| 16 | Evaluation of agreement of ELISA and complement fixation test in the diagnostics of Q fever in cattle. | 2007 | 4 |
| 17 | 2011 | 3 |
About Wiktor Jurkowski
Wiktor Jurkowski is a scholar working on Biological Psychiatry, Neurology, Molecular Biology, Immunology and Allergy and Physiology, having authored 17 papers that have together received 481 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), Alzheimer's disease research and treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Neurology (45 citations), Molecular Biology (347 citations), Cellular and Molecular Neuroscience (90 citations), Neurology (66 citations) and Biological Psychiatry (8 citations). Wiktor Jurkowski has collaborated with scholars based in Luxembourg, Sweden and Poland. Frequent co-authors include Antonio del Sol, Isaac Crespo, Irena Roterman, Leszek Konieczny, Hiroaki Kitano, Thanneer M. Perumal, Michał Bryliński, Kazuhiro Fujita, Manuel Buttini and Venkata Satagopam. Their work appears in journals such as BMC Systems Biology, Molecular Membrane Biology, Current Drug Metabolism, Molecular & Cellular Proteomics and Proteins Structure Function 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.