Anna Czerwoniec

578 total citations
27 papers, 459 citations indexed

About

Anna Czerwoniec is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Anna Czerwoniec has authored 27 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Oncology. Recurrent topics in Anna Czerwoniec's work include RNA and protein synthesis mechanisms (6 papers), Plant Virus Research Studies (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Anna Czerwoniec is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Plant Virus Research Studies (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Anna Czerwoniec collaborates with scholars based in Poland, Spain and United States. Anna Czerwoniec's co-authors include Janusz M. Bujnicki, Joanna Wesoły, Hans A.R. Bluyssen, K. Sikorski, Joanna M. Kasprzak, Katarzyna H. Kaminska, Małgorzata Szeląg, Beata Hasiów‐Jaroszewska, Aleksandra Obrępalska‐Stęplowska and Xavier Lucas and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and FEBS Letters.

In The Last Decade

Anna Czerwoniec

27 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Czerwoniec Poland 13 257 86 86 84 36 27 459
Stéfanie Schneider Germany 11 230 0.9× 99 1.2× 33 0.4× 85 1.0× 29 0.8× 13 485
Deborah A. Leonard United States 14 310 1.2× 29 0.3× 116 1.3× 32 0.4× 8 0.2× 22 503
Weimei Sun United States 14 493 1.9× 40 0.5× 64 0.7× 26 0.3× 6 0.2× 24 647
Irene Cherni United States 13 265 1.0× 33 0.4× 112 1.3× 137 1.6× 18 0.5× 25 512
Jianfu Zhou China 15 491 1.9× 157 1.8× 55 0.6× 161 1.9× 18 0.5× 29 794
Qixiang Zhang China 14 461 1.8× 80 0.9× 151 1.8× 73 0.9× 6 0.2× 32 692
Xiuhua Liu China 17 437 1.7× 95 1.1× 76 0.9× 135 1.6× 4 0.1× 47 666
Georgina B. Harrison United Kingdom 8 256 1.0× 42 0.5× 37 0.4× 101 1.2× 13 0.4× 9 517
Binhui Zhou China 9 207 0.8× 74 0.9× 135 1.6× 56 0.7× 6 0.2× 19 396

Countries citing papers authored by Anna Czerwoniec

Since Specialization
Citations

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

Fields of papers citing papers by Anna Czerwoniec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Czerwoniec

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Czerwoniec. A scholar is included among the top collaborators of Anna Czerwoniec 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 Anna Czerwoniec. Anna Czerwoniec 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.
Kalemba, Ewa Marzena, et al.. (2024). The association of protein-bound methionine sulfoxide with proteomic basis for aging in beech seeds. BMC Plant Biology. 24(1). 377–377. 4 indexed citations
2.
Nawrot, Robert, et al.. (2021). Characterization and expression of a novel thaumatin-like protein (CcTLP1) from papaveraceous plant Corydalis cava. International Journal of Biological Macromolecules. 189. 678–689. 6 indexed citations
3.
Kruse, Elisabeth, et al.. (2018). The OB-fold proteins of the Trypanosoma brucei editosome execute RNA-chaperone activity. Nucleic Acids Research. 46(19). 10353–10367. 5 indexed citations
4.
Czerwoniec, Anna, et al.. (2015). Structure and intrinsic disorder of the proteins of theTrypanosoma brucei editosome. FEBS Letters. 589(19PartA). 2603–2610. 5 indexed citations
5.
Szeląg, Małgorzata, Anna Czerwoniec, Joanna Wesoły, & Hans A.R. Bluyssen. (2015). Identification of STAT1 and STAT3 Specific Inhibitors Using Comparative Virtual Screening and Docking Validation. PLoS ONE. 10(2). e0116688–e0116688. 30 indexed citations
6.
Kłossowski, Szymon, Małgorzata Bajor, Radosław Zagożdżon, et al.. (2015). Dimeric peroxiredoxins are druggable targets in human Burkitt lymphoma. Oncotarget. 7(2). 1717–1731. 40 indexed citations
7.
Szeląg, Małgorzata, Anna Czerwoniec, Joanna Wesoły, & Hans A.R. Bluyssen. (2014). Comparative screening and validation as a novel tool to identify STAT-specific inhibitors. European Journal of Pharmacology. 740. 417–420. 8 indexed citations
8.
Ramos‐Molina, Bruno, Ana Lambertos, Andrés J. López‐Contreras, et al.. (2014). Structural and degradative aspects of ornithine decarboxylase antizyme inhibitor 2. FEBS Open Bio. 4(1). 510–521. 12 indexed citations
9.
Lucas, Xavier, et al.. (2014). REVIEW PAPER<BR>Virtual screening strategies in drug design– methods and applications. BioTechnologia. 92(3). 249–264. 36 indexed citations
10.
11.
Szeląg, Małgorzata, et al.. (2013). In silico simulations of STAT1 and STAT3 inhibitors predict SH2 domain cross-binding specificity. European Journal of Pharmacology. 720(1-3). 38–48. 26 indexed citations
12.
Hasiów‐Jaroszewska, Beata, Anneleen Paeleman, N. Borodynko, et al.. (2013). Ratio of mutated versus wild‐type coat protein sequences in P epino mosaic virus determines the nature and severity of yellowing symptoms on tomato plants. Molecular Plant Pathology. 14(9). 923–933. 25 indexed citations
13.
Obrępalska‐Stęplowska, Aleksandra, Marta Budziszewska, Przemysław Wieczorek, & Anna Czerwoniec. (2012). Analysis of two strains of Peanut stunt virus: satRNA-associated and satRNA free. Virus Genes. 44(3). 513–521. 5 indexed citations
14.
Kasprzak, Joanna M., Anna Czerwoniec, & Janusz M. Bujnicki. (2012). Molecular evolution of dihydrouridine synthases. BMC Bioinformatics. 13(1). 153–153. 30 indexed citations
15.
Hasiów‐Jaroszewska, Beata, Anna Czerwoniec, H. Pospieszny, & Santiago F. Elena. (2011). Tridimensional model structure and patterns of molecular evolution of Pepino mosaic virus TGBp3 protein. Virology Journal. 8(1). 318–318. 4 indexed citations
16.
Sikorski, K., Anna Czerwoniec, Janusz M. Bujnicki, Joanna Wesoły, & Hans A.R. Bluyssen. (2011). STAT1 as a novel therapeutical target in pro-atherogenic signal integration of IFNγ, TLR4 and IL-6 in vascular disease. Cytokine & Growth Factor Reviews. 22(4). 211–219. 87 indexed citations
17.
Czerwoniec, Anna & Janusz M. Bujnicki. (2011). Identification and modeling of a phosphatase-like domain in a tRNA 2′-O-ribosyl phosphate transferase Rit1p. Cell Cycle. 10(20). 3566–3570. 2 indexed citations
18.
Czerwoniec, Anna, Stanisław Dunin-Horkawicz, Elżbieta Purta, et al.. (2008). MODOMICS: a database of RNA modification pathways. 2008 update. Nucleic Acids Research. 37(Database). D118–D121. 25 indexed citations
19.
Obrępalska‐Stęplowska, Aleksandra, et al.. (2007). The sequence and model structure analysis of three Polish peanut stunt virus strains. Virus Genes. 36(1). 221–229. 11 indexed citations
20.
Kaminska, Katarzyna H., et al.. (2007). Structural bioinformatics analysis of enzymes involved in the biosynthesis pathway of the hypermodified nucleoside ms2io6A37 in tRNA. Proteins Structure Function and Bioinformatics. 70(1). 1–18. 36 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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