Jacek Rybka

1.8k total citations · 2 hit papers
51 papers, 1.5k citations indexed

About

Jacek Rybka is a scholar working on Molecular Biology, Food Science and Endocrinology. According to data from OpenAlex, Jacek Rybka has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Food Science and 10 papers in Endocrinology. Recurrent topics in Jacek Rybka's work include Salmonella and Campylobacter epidemiology (9 papers), Probiotics and Fermented Foods (7 papers) and Vibrio bacteria research studies (6 papers). Jacek Rybka is often cited by papers focused on Salmonella and Campylobacter epidemiology (9 papers), Probiotics and Fermented Foods (7 papers) and Vibrio bacteria research studies (6 papers). Jacek Rybka collaborates with scholars based in Poland, Finland and United Kingdom. Jacek Rybka's co-authors include Tomasz Lipiński, Artur Bednarkiewicz, John A. Capobianco, Gabriela Bugla‐Płoskońska, Eva Krzyżewska, Anna Kędziora, Mateusz Speruda, Anna Łukowiak, Andrzej Gamian and Sabina Górska and has published in prestigious journals such as Chemical Society Reviews, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Jacek Rybka

46 papers receiving 1.4k citations

Hit Papers

Upconverting nanoparticles: assessing the toxicity 2014 2026 2018 2022 2014 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacek Rybka Poland 16 651 461 343 199 131 51 1.5k
Xinyan Yang China 27 471 0.7× 748 1.6× 873 2.5× 232 1.2× 68 0.5× 134 2.0k
Prem Singh India 19 413 0.6× 345 0.7× 315 0.9× 85 0.4× 103 0.8× 73 1.4k
Xiaoning Zhang China 22 387 0.6× 148 0.3× 630 1.8× 307 1.5× 141 1.1× 88 2.0k
Chun Loong Ho China 15 266 0.4× 392 0.9× 603 1.8× 130 0.7× 93 0.7× 31 1.2k
Bohuslav Rittich Czechia 21 199 0.3× 348 0.8× 635 1.9× 217 1.1× 75 0.6× 59 1.3k
Alena Španová Czechia 20 182 0.3× 314 0.7× 617 1.8× 212 1.1× 72 0.5× 61 1.2k
Soumyananda Chakraborti India 24 615 0.9× 308 0.7× 737 2.1× 75 0.4× 65 0.5× 63 1.8k
Hongyan Zhao China 29 232 0.4× 192 0.4× 933 2.7× 348 1.7× 99 0.8× 146 2.5k
Yuan Wu China 24 929 1.4× 456 1.0× 676 2.0× 69 0.3× 74 0.6× 49 2.5k
Mehdi Shafiee Ardestani Iran 27 545 0.8× 582 1.3× 620 1.8× 144 0.7× 41 0.3× 129 2.3k

Countries citing papers authored by Jacek Rybka

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Rybka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Rybka

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Rybka. A scholar is included among the top collaborators of Jacek Rybka 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 Jacek Rybka. Jacek Rybka 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
1.
Krzyżewska, Eva, Marta Książczyk, Bartłomiej Dudek, et al.. (2024). Lipopolysaccharide with long O-antigen is crucial for Salmonella Enteritidis to evade complement activity and to facilitate bacterial survival in vivo in the Galleria mellonella infection model. Medical Microbiology and Immunology. 213(1). 8–8. 4 indexed citations
2.
Rachoń, Dominik, et al.. (2023). Alteration of Branched-Chain and Aromatic Amino Acid Profile as a Novel Approach in Studying Polycystic Ovary Syndrome Pathogenesis. Nutrients. 15(19). 4153–4153. 9 indexed citations
3.
Kędziora, Anna, Mateusz Speruda, Bartłomiej Dudek, et al.. (2021). How Bacteria Change after Exposure to Silver Nanoformulations: Analysis of the Genome and Outer Membrane Proteome. Pathogens. 10(7). 817–817. 5 indexed citations
4.
Dudek, Bartłomiej, Marta Książczyk, Eva Krzyżewska, et al.. (2019). Comparison of the phylogenetic analysis of PFGE profiles and the characteristic of virulence genes in clinical and reptile associated Salmonella strains. BMC Veterinary Research. 15(1). 312–312. 17 indexed citations
6.
Piasecki, Tomasz, et al.. (2014). Application of quartz tuning forks for detection of endotoxins and Gram-negative bacterial cells by monitoring of Limulus Amebocyte Lysate coagulation. Biosensors and Bioelectronics. 58. 132–137. 18 indexed citations
7.
Kałas, Wojciech, et al.. (2012). H‐Ras increases release of sphingosine resulting in down‐regulation of TSP‐1 in non‐transformed cells. International Journal of Experimental Pathology. 93(3). 202–209. 1 indexed citations
8.
Jarząb, Anna, Sabina Górska, Jacek Rybka, & Danuta Witkowska. (2011). Enterobacteriaceae infection – diagnosis, antibiotic resistance and prevention. Postępy Higieny i Medycyny Doświadczalnej. 65. 55–72. 11 indexed citations
9.
Górska, Sabina, Corine Sandström, Lennart Kenne, et al.. (2011). Structural studies of the exopolysaccharide consisting of a nonasaccharide repeating unit isolated from Lactobacillus rhamnosus KL37B. Carbohydrate Research. 346(18). 2926–2932. 33 indexed citations
10.
Olszewski, Jacek, et al.. (2010). Wykorzystanie matrycy kamertonów piezoelektrycznych do wysokorozdzielczych pomiarów masy biomolekuł. PRZEGLĄD ELEKTROTECHNICZNY. 122–125.
11.
Nitsch, K., et al.. (2010). Badanie wpływu dezintegracji E. coli na impedancję czujnika o strukturze palczastej. Elektronika : konstrukcje, technologie, zastosowania. 51. 144–147.
12.
Rybka, Jacek, Daria Kupczyk, Kornelia Kędziora–Kornatowska, et al.. (2010). Glutathione-Related Antioxidant Defense System in Elderly Patients Treated for Hypertension. Cardiovascular Toxicology. 11(1). 1–9. 60 indexed citations
13.
Górska, Sabina, Wojciech Jachymek, Jacek Rybka, et al.. (2009). Structural and immunochemical studies of neutral exopolysaccharide produced by Lactobacillus johnsonii 142. Carbohydrate Research. 345(1). 108–114. 55 indexed citations
14.
15.
Katzenellenbogen, Ewa, Nina A. Kocharova, Agnieszka Korzeniowska‐Kowal, et al.. (2008). Structure of the glycerol phosphate-containing O-specific polysaccharide and serological studies on the lipopolysaccharides ofCitrobacter werkmaniiPCM 1548 and PCM 1549 (serogroup O14). FEMS Immunology & Medical Microbiology. 54(2). 255–262. 8 indexed citations
16.
Zimecki, Michał, Jolanta Artym, Grzegorz Chodaczek, et al.. (2006). Glycomacropeptide protects against experimental endotoxemia and bacteremia in mice. 9(2). 4 indexed citations
17.
Rybka, Jacek & Andrzej Gamian. (2005). Determination of endotoxin by the measurement of the acetylated methyl glycoside derivative of Kdo with gas–liquid chromatography-mass spectrometry. Journal of Microbiological Methods. 64(2). 171–184. 18 indexed citations
18.
Rybka, Jacek, et al.. (2003). Substitution pattern of 3-deoxy-d-manno-oct-2-ulosonic acid in bacterial lipopolysaccharides investigated by methylation analysis of whole LPS. Carbohydrate Research. 338(23). 2679–2686. 1 indexed citations
19.
Rybka, Jacek & Andrzej Gamian. (2002). The interaction between serotonin and n-acetylneuraminic acid or 2-keto-3-deoxyoctulosonic acid. Cellular & Molecular Biology Letters. 7. 1 indexed citations
20.

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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