Bogdan Banecki

1.6k total citations
54 papers, 1.4k citations indexed

About

Bogdan Banecki is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Bogdan Banecki has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Rheumatology and 8 papers in Genetics. Recurrent topics in Bogdan Banecki's work include Heat shock proteins research (10 papers), Folate and B Vitamins Research (9 papers) and Protein Structure and Dynamics (8 papers). Bogdan Banecki is often cited by papers focused on Heat shock proteins research (10 papers), Folate and B Vitamins Research (9 papers) and Protein Structure and Dynamics (8 papers). Bogdan Banecki collaborates with scholars based in Poland, United States and Italy. Bogdan Banecki's co-authors include Maciej Żylicz, Alicja Wawrzynów, Costa Georgopoulos, Joanna Jakóbkiewicz‐Banecka, Fabio Tanfani, Enrico Bertoli, Jarosław Marszałek, Grzegorz Węgrzyn, Barbara J. Graves and Daniel Wall and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Bogdan Banecki

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bogdan Banecki Poland 21 867 248 198 134 102 54 1.4k
Charles A. Collyer Australia 24 915 1.1× 338 1.4× 67 0.3× 140 1.0× 131 1.3× 57 1.8k
Michael J. McLeish United States 28 1.3k 1.5× 224 0.9× 46 0.2× 170 1.3× 46 0.5× 93 2.4k
Koen H. G. Verschueren Belgium 14 2.3k 2.6× 603 2.4× 233 1.2× 123 0.9× 133 1.3× 23 3.3k
Subramanyam Swaminathan United States 27 1.4k 1.6× 385 1.6× 146 0.7× 231 1.7× 126 1.2× 80 2.6k
Hui‐Chih Hung Taiwan 25 1.1k 1.3× 174 0.7× 65 0.3× 94 0.7× 235 2.3× 102 1.8k
Alessio Peracchi Italy 28 2.0k 2.3× 609 2.5× 122 0.6× 93 0.7× 39 0.4× 63 2.6k
R. Berni Italy 29 1.8k 2.1× 288 1.2× 154 0.8× 501 3.7× 93 0.9× 80 2.4k
Masatoshi Murai Japan 26 1.4k 1.6× 71 0.3× 165 0.8× 73 0.5× 83 0.8× 91 2.1k
Chiwook Park United States 26 1.2k 1.4× 346 1.4× 117 0.6× 136 1.0× 48 0.5× 41 1.5k
Giuseppina Andreotti Italy 25 950 1.1× 102 0.4× 118 0.6× 137 1.0× 83 0.8× 63 1.4k

Countries citing papers authored by Bogdan Banecki

Since Specialization
Citations

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

Fields of papers citing papers by Bogdan Banecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Banecki

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Banecki. A scholar is included among the top collaborators of Bogdan Banecki 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 Bogdan Banecki. Bogdan Banecki 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
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Krzyczkowski, Wojciech, et al.. (2019). Nigella sativa seed extract applicability in preparations against methicillin-resistant Staphylococcus aureus and effects on human dermal fibroblasts viability. Journal of Ethnopharmacology. 244. 112135–112135. 21 indexed citations
3.
Śledź, Wojciech, et al.. (2017). Growth of bacterial phytopathogens in animal manures. Acta Biochimica Polonica. 64(1). 151–159. 7 indexed citations
4.
Mozolewski, Paweł, Marta Moskot, Joanna Jakóbkiewicz‐Banecka, et al.. (2017). Nonsteroidal anti-inflammatory drugs modulate cellular glycosaminoglycan synthesis by affecting EGFR and PI3K signaling pathways. Scientific Reports. 7(1). 43154–43154. 11 indexed citations
5.
Bloch, Sylwia, Rajmund Kaźmierkiewicz, Joanna Jakóbkiewicz‐Banecka, et al.. (2017). Evidence for interactions between homocysteine and genistein: insights into stroke risk and potential treatment. Metabolic Brain Disease. 32(6). 1855–1860. 6 indexed citations
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Banecki, Bogdan, Joanna Jakóbkiewicz‐Banecka, Rajmund Kaźmierkiewicz, et al.. (2015). Genistein inhibits activities of methylenetetrahydrofolate reductase and lactate dehydrogenase, enzymes which use NADH as a substrate. Biochemical and Biophysical Research Communications. 465(3). 363–367. 7 indexed citations
8.
Moskot, Marta, et al.. (2015). Activities of genes controlling sphingolipid metabolism in human fibroblasts treated with flavonoids. Metabolic Brain Disease. 30(5). 1257–1267. 9 indexed citations
9.
Moskot, Marta, Joanna Jakóbkiewicz‐Banecka, Anna Kłoska, et al.. (2015). Modulation of expression of genes involved in glycosaminoglycan metabolism and lysosome biogenesis by flavonoids. Scientific Reports. 5(1). 9378–9378. 45 indexed citations
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Zawacka‐Pankau, Joanna, Agnieszka Kowalska, Natalia Issaeva, et al.. (2006). Tumor suppressor Fhit protein interacts with protoporphyrin IX in vitro and enhances the response of HeLa cells to photodynamic therapy. Journal of Photochemistry and Photobiology B Biology. 86(1). 35–42. 15 indexed citations
12.
Gąsecki, Dariusz, et al.. (2005). Hiperhomocysteinemia - ważny czynnik ryzyka udaru mózgu. Via Medica Journals. 7(2). 61–65. 4 indexed citations
13.
Jakóbkiewicz‐Banecka, Joanna, et al.. (2005). A bacterial model for studying effects of human mutations in vivo: Escherichia coli strains mimicking a common polymorphism in the human MTHFR gene. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 578(1-2). 175–186. 8 indexed citations
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Dąbrowska, Aleksandra, Dagmara Jacewicz, Bogdan Banecki, et al.. (2004). Pivotal participation of nitrogen dioxide in l-arginine induced acute necrotizing pancreatitis: protective role of superoxide scavenger 4-OH-TEMPO. Biochemical and Biophysical Research Communications. 326(2). 313–320. 34 indexed citations
16.
Banecki, Bogdan, et al.. (2001). Structure-Function Analysis of the Zinc-binding Region of the ClpX Molecular Chaperone. Journal of Biological Chemistry. 276(22). 18843–18848. 34 indexed citations
17.
Banecki, Bogdan, Jon M. Kaguni, & Jarosław Marszałek. (1998). Role of adenine nucleotides, molecular chaperones and chaperonins in stabilization of DnaA initiator protein of Escherichia coli. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1442(1). 39–48. 9 indexed citations
18.
Banecki, Bogdan & Maciej Żylicz. (1996). Real Time Kinetics of the DnaK/DnaJ/GrpE Molecular Chaperone Machine Action. Journal of Biological Chemistry. 271(11). 6137–6143. 48 indexed citations
19.
Wawrzynów, Alicja, Bogdan Banecki, & Maciej Żylicz. (1996). The Clp ATPases define a novel class of molecular chaperones. Molecular Microbiology. 21(5). 895–899. 112 indexed citations
20.
Wawrzynów, Alicja, Bogdan Banecki, Daniel Wall, et al.. (1995). ATP Hydrolysis Is Required for the DnaJ-dependent Activation of DnaK Chaperone for Binding to Both Native and Denatured Protein Substrates. Journal of Biological Chemistry. 270(33). 19307–19311. 62 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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