Wiktor Jurkowski

1.2k total citations
17 papers, 481 citations indexed

About

Wiktor Jurkowski is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Wiktor Jurkowski has authored 17 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Materials Chemistry. Recurrent topics in Wiktor Jurkowski's work include Glycosylation and Glycoproteins Research (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (3 papers). Wiktor Jurkowski is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (3 papers). Wiktor Jurkowski collaborates with scholars based in Luxembourg, Sweden and Poland. Wiktor Jurkowski's co-authors include Antonio del Sol, Isaac Crespo, Irena Roterman, Leszek Konieczny, Thanneer M. Perumal, Hiroaki Kitano, Michał Bryliński, Arne Elofsson, Nico J. Diederich and Christophe Trefois and has published in prestigious journals such as Bioinformatics, Gastroenterology and Proteins Structure Function and Bioinformatics.

In The Last Decade

Wiktor Jurkowski

17 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wiktor Jurkowski Luxembourg 12 347 90 66 55 47 17 481
Tessa Grabinski United States 11 347 1.0× 66 0.7× 48 0.7× 137 2.5× 10 0.2× 15 551
Marit N. Nielsen Denmark 8 353 1.0× 194 2.2× 71 1.1× 44 0.8× 34 0.7× 10 538
Stefanie Schuster Germany 10 193 0.6× 77 0.9× 28 0.4× 29 0.5× 17 0.4× 16 424
Taylor Arhar United States 6 246 0.7× 66 0.7× 19 0.3× 97 1.8× 30 0.6× 6 344
Harrison Tudor Evans Australia 8 169 0.5× 74 0.8× 35 0.5× 126 2.3× 23 0.5× 8 416
Saara‐Anne Azizi United States 12 350 1.0× 139 1.5× 47 0.7× 20 0.4× 31 0.7× 18 678
Sventja von Daake United States 12 525 1.5× 128 1.4× 16 0.2× 41 0.7× 38 0.8× 12 668
Rachel E. Lackie Canada 4 226 0.7× 33 0.4× 27 0.4× 74 1.3× 19 0.4× 4 306
Katsuo Okazaki Japan 15 558 1.6× 277 3.1× 28 0.4× 76 1.4× 30 0.6× 27 810
Kiran Todkar Canada 7 221 0.6× 42 0.5× 56 0.8× 76 1.4× 26 0.6× 8 455

Countries citing papers authored by Wiktor Jurkowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wiktor Jurkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Wiktor Jurkowski. A scholar is included among the top collaborators of Wiktor Jurkowski 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 Wiktor Jurkowski. Wiktor Jurkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rausell, Antonio, Maarten Loos, Wiktor Jurkowski, et al.. (2014). Hippocampal Extracellular Matrix Levels and Stochasticity in Synaptic Protein Expression Increase with Age and Are Associated with Age-dependent Cognitive Decline. Molecular & Cellular Proteomics. 13(11). 2975–2985. 46 indexed citations
2.
Reinthaler, Eva M., Dennis Lal, Wiktor Jurkowski, et al.. (2014). Analysis of ELP4, SRPX2, and interacting genes in typical and atypical rolandic epilepsy. Epilepsia. 55(8). e89–93. 40 indexed citations
3.
Crespo, Isaac, Thanneer M. Perumal, Wiktor Jurkowski, & Antonio del Sol. (2013). Detecting cellular reprogramming determinants by differential stability analysis of gene regulatory networks. BMC Systems Biology. 7(1). 140–140. 29 indexed citations
4.
Fujita, Kazuhiro, Marek Ostaszewski, Yukiko Matsuoka, et al.. (2013). Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map. Molecular Neurobiology. 49(1). 88–102. 169 indexed citations
5.
Jurkowski, Wiktor, et al.. (2012). The C-terminal cavity of the Na,K-ATPase analyzed by docking and electrophysiology. Molecular Membrane Biology. 30(2). 195–205. 5 indexed citations
6.
Jurkowski, Wiktor, et al.. (2012). Ligand binding properties of human galanin receptors. Molecular Membrane Biology. 30(2). 206–216. 18 indexed citations
7.
Crespo, Isaac, Kirsten Roomp, Wiktor Jurkowski, Hiroaki Kitano, & Antonio del Sol. (2012). Gene regulatory network analysis supports inflammation as a key neurodegeneration process in prion disease. BMC Systems Biology. 6(1). 132–132. 34 indexed citations
8.
Wacker, Sören, Wiktor Jurkowski, Katie J. Simmons, et al.. (2012). Identification of Selective Inhibitors of the Potassium Channel Kv1.1–1.2(3) by High‐Throughput Virtual Screening and Automated Patch Clamp. ChemMedChem. 7(10). 1775–1783. 17 indexed citations
9.
Jurkowski, Wiktor, Kirsten Roomp, Isaac Crespo, Jochen G. Schneider, & Antonio del Sol. (2011). PPARγ population shift produces disease-related changes in molecular networks associated with metabolic syndrome. Cell Death and Disease. 2(8). e192–e192. 3 indexed citations
10.
Sjölinder, Hong, Wiktor Jurkowski, Arne Elofsson, et al.. (2011). The Complement Regulator CD46 Is Bactericidal to Helicobacter pylori and Blocks Urease Activity. Gastroenterology. 141(3). 918–928. 10 indexed citations
11.
Runesson, Johan, Ulla Sollenberg, Wiktor Jurkowski, et al.. (2010). Determining receptor–ligand interaction of human galanin receptor type 3. Neurochemistry International. 57(7). 804–811. 13 indexed citations
12.
Jurkowski, Wiktor, Grzegorz Porębski, Krystyna Obtułowicz, & Irena Roterman. (2009). Serum Albumin Complexation of Acetylsalicylic Acid Metabolites. Current Drug Metabolism. 10(5). 448–458. 7 indexed citations
13.
Kaba, Jarosław, et al.. (2007). Evaluation of agreement of ELISA and complement fixation test in the diagnostics of Q fever in cattle.. Medycyna Weterynaryjna. 63(6). 655–657. 4 indexed citations
14.
Piekarska, Barbara, Leszek Konieczny, Marcin Król, et al.. (2006). The Indirect Generation of Long‐distance Structural Changes in Antibodies upon their Binding to Antigen. Chemical Biology & Drug Design. 68(5). 276–283. 19 indexed citations
15.
Jurkowski, Wiktor, Michał Bryliński, Leszek Konieczny, & Irena Roterman. (2004). Lysozyme FoldedIn SilicoAccording to the Limited Conformational Sub-space. Journal of Biomolecular Structure and Dynamics. 22(2). 149–157. 16 indexed citations
16.
Bryliński, Michał, Wiktor Jurkowski, Leszek Konieczny, & Irena Roterman. (2004). Limited conformational space for early-stage protein folding simulation. Bioinformatics. 20(2). 199–205. 19 indexed citations
17.
Jurkowski, Wiktor, et al.. (2004). Conformational subspace in simulation of early‐stage protein folding. Proteins Structure Function and Bioinformatics. 55(1). 115–127. 32 indexed citations

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.

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