J Rybarska

624 total citations
32 papers, 528 citations indexed

About

J Rybarska is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, J Rybarska has authored 32 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Physiology. Recurrent topics in J Rybarska's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (7 papers) and Protein purification and stability (7 papers). J Rybarska is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (7 papers) and Protein purification and stability (7 papers). J Rybarska collaborates with scholars based in Poland and United Kingdom. J Rybarska's co-authors include Leszek Konieczny, Irena Roterman, Barbara Piekarska, Barbara Stopa, W Ostrowski, Marcin Król, Edward Szneler, Grzegorz Zemanek, Mateusz Nowak and Andrzej Górecki and has published in prestigious journals such as Journal of Computational Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects and Biopolymers.

In The Last Decade

J Rybarska

28 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Rybarska Poland 14 313 124 101 91 79 32 528
Jens T. Bukrinsky Denmark 14 428 1.4× 137 1.1× 41 0.4× 56 0.6× 67 0.8× 21 692
Christian Beyschau Andersen Denmark 9 506 1.6× 311 2.5× 66 0.7× 118 1.3× 107 1.4× 9 712
Barbara Stopa Poland 18 448 1.4× 189 1.5× 154 1.5× 156 1.7× 149 1.9× 46 795
Michelle J. Cannon United States 8 360 1.2× 125 1.0× 47 0.5× 50 0.5× 51 0.6× 9 471
Grzegorz Zemanek Poland 11 184 0.6× 85 0.7× 54 0.5× 74 0.8× 85 1.1× 31 345
David A. Moffet United States 13 410 1.3× 183 1.5× 44 0.4× 97 1.1× 62 0.8× 16 582
Karin Sörgjerd Japan 11 523 1.7× 406 3.3× 38 0.4× 101 1.1× 102 1.3× 12 848
René Meier Germany 17 550 1.8× 81 0.7× 36 0.4× 50 0.5× 161 2.0× 28 1.2k
Katiuscia Pagano Italy 16 497 1.6× 207 1.7× 16 0.2× 125 1.4× 79 1.0× 38 772
Mariusz Mital Poland 10 163 0.5× 153 1.2× 21 0.2× 49 0.5× 40 0.5× 13 432

Countries citing papers authored by J Rybarska

Since Specialization
Citations

This map shows the geographic impact of J Rybarska'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 J Rybarska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Rybarska more than expected).

Fields of papers citing papers by J Rybarska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Rybarska. 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 J Rybarska. The network helps show where J Rybarska may publish in the future.

Co-authorship network of co-authors of J Rybarska

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

All Works

20 of 20 papers shown
2.
Jagusiak, Anna, J Rybarska, Leszek Konieczny, et al.. (2019). Amyloids, Congo red and the apple-green effect. Acta Biochimica Polonica. 66(1). 39–46. 3 indexed citations
3.
Jagusiak, Anna, Leszek Konieczny, Marcin Król, et al.. (2015). Intramolecular Immunological Signal Hypothesis Revived - Structural Background of Signalling Revealed by Using Congo Red as a Specific Tool. Mini-Reviews in Medicinal Chemistry. 14(13). 1104–1113. 8 indexed citations
4.
Rybarska, J, Leszek Konieczny, Barbara Piekarska, et al.. (2005). Tworzenie i rozdział kompleksów białek surowicy z barwnikami supramolekularnymi w elektroforezie dwukierunkowej - próba opracowania komputerowej techniki analizy obrazu rozdziałowego. Bio-Algorithms and Med-Systems. 1.
5.
Król, Marcin, Tomasz Borowski, Irena Roterman, et al.. (2004). Force-field parametrization and molecular dynamics simulations of Congo red. Journal of Computer-Aided Molecular Design. 18(1). 41–53. 17 indexed citations
6.
Konieczny, Leszek, et al.. (2001). Przeciwciała i nośniki leków w terapii celowanej - postęp i ograniczenia. Biotechnologia.
7.
Piekarska, Barbara, Leszek Konieczny, J Rybarska, et al.. (2001). Heat-induced formation of a specific binding site for self-assembled congo red in the V domain of immunoglobulin L chain ?. Biopolymers. 59(6). 446–456. 26 indexed citations
8.
Roterman, Irena, Mateusz Nowak, Leszek Konieczny, et al.. (2001). Why Congo red binding is specific for amyloid proteins - model studies and a computer analysis approach.. PubMed. 7(4). 771–84. 42 indexed citations
9.
Roterman, Irena, Leszek Konieczny, Barbara Stopa, et al.. (2000). The conformational characteristics of Congo red, Evans blue and Trypan blue. Computers & Chemistry. 24(3-4). 429–450. 44 indexed citations
10.
Roterman, Irena, et al.. (2000). Why do Congo Red, Evans Blue, and Trypan Blue differ in their complexation properties?. Journal of Computational Chemistry. 21(8). 656–667. 20 indexed citations
11.
Piekarska, Barbara, J Rybarska, Barbara Stopa, et al.. (1999). Supramolecularity creates nonstandard protein ligands.. Acta Biochimica Polonica. 46(4). 841–851. 22 indexed citations
12.
Stopa, Barbara, et al.. (1997). Effect of self association of bis-ANS and bis-azo dyes on protein binding. Biochimie. 79(1). 23–26. 26 indexed citations
13.
Rybarska, J, et al.. (1996). Congo red-stabilized intermediates in the λ light chain transition from native to molten state. Biochimie. 78(3). 183–189. 43 indexed citations
14.
Konieczny, Leszek, et al.. (1993). Bis-azo dyes interference with effector activation of antibodies.. PubMed. 44(3). 233–42. 19 indexed citations
15.
Roterman, Irena, et al.. (1993). Bis azo dyes--studies on the mechanism of complex formation with IgG modulated by heating or antigen binding.. PubMed. 44(3). 213–32. 33 indexed citations
16.
Uracz, W, et al.. (1984). The use of Fab-Fc recombinant antibodies for studying the mechanism of triggering the effector activities of immunoglobulins. Immunology Letters. 7(4). 215–220. 1 indexed citations
17.
Konieczny, Leszek, et al.. (1977). Some properties of a glycoprotein with calcium binding ability found in human biological fluids in macroglobulinaemia IgM. Biochimica et Biophysica Acta (BBA) - General Subjects. 497(2). 377–385. 3 indexed citations
18.
Ostrowski, W, et al.. (1968). The effect of iodination on the activity and structure of acid phosphomonoesterase from human prostate.. PubMed. 15(4). 369–79. 11 indexed citations
19.
Ostrowski, W, et al.. (1966). Immunochemical properties of acid phosphomonoesterase from human prostate gland.. PubMed. 13(4). 343–52. 5 indexed citations
20.
Ostrowski, W & J Rybarska. (1965). Studies on human prostatic acid phosphomonoesterase. Further purification and molecular weight of the enzyme. Biochimica et Biophysica Acta (BBA) - Enzymology and Biological Oxidation. 105(1). 196–198. 38 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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