Jan Barciszewski

5.5k total citations
240 papers, 4.1k citations indexed

About

Jan Barciszewski is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Jan Barciszewski has authored 240 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Molecular Biology, 50 papers in Plant Science and 15 papers in Cancer Research. Recurrent topics in Jan Barciszewski's work include RNA and protein synthesis mechanisms (102 papers), RNA modifications and cancer (66 papers) and DNA and Nucleic Acid Chemistry (27 papers). Jan Barciszewski is often cited by papers focused on RNA and protein synthesis mechanisms (102 papers), RNA modifications and cancer (66 papers) and DNA and Nucleic Acid Chemistry (27 papers). Jan Barciszewski collaborates with scholars based in Poland, Germany and Denmark. Jan Barciszewski's co-authors include Brian F.C. Clark, Volker A. Erdmann, M. Szymański, Mirosława Z. Barciszewska, Gunhild E. Siboska, Suresh I. S. Rattan, Katarzyna Rolle, Stefan Jurga, Mirosława Z. Naskręt-Barciszewska and Eliza Wyszko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jan Barciszewski

235 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Barciszewski Poland 33 2.9k 864 504 250 202 240 4.1k
Stefano Toppo Italy 34 2.5k 0.9× 388 0.4× 528 1.0× 174 0.7× 227 1.1× 101 4.5k
Évelyne Sage France 33 2.7k 0.9× 473 0.5× 783 1.6× 188 0.8× 295 1.5× 80 4.4k
Martin Bard United States 46 4.7k 1.6× 823 1.0× 350 0.7× 258 1.0× 173 0.9× 112 6.8k
Kai Cheng China 37 3.1k 1.1× 394 0.5× 553 1.1× 135 0.5× 248 1.2× 152 4.4k
Renu Tuteja India 39 3.6k 1.2× 1.8k 2.1× 259 0.5× 300 1.2× 88 0.4× 152 5.5k
Monique Slijper Netherlands 35 2.5k 0.9× 468 0.5× 194 0.4× 154 0.6× 185 0.9× 54 3.5k
Maojun Yang China 36 4.8k 1.6× 605 0.7× 260 0.5× 390 1.6× 231 1.1× 96 6.8k
Mary R. Roth United States 35 2.6k 0.9× 1.3k 1.6× 480 1.0× 141 0.6× 181 0.9× 69 4.4k
Michael A. Sirover United States 33 3.3k 1.1× 339 0.4× 732 1.5× 312 1.2× 92 0.5× 69 4.5k
Michel Jaquinod France 32 2.1k 0.7× 487 0.6× 171 0.3× 486 1.9× 86 0.4× 77 3.2k

Countries citing papers authored by Jan Barciszewski

Since Specialization
Citations

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

Fields of papers citing papers by Jan Barciszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Barciszewski

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Barciszewski. A scholar is included among the top collaborators of Jan Barciszewski 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 Jan Barciszewski. Jan Barciszewski 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.
Martins, João Paulo Rodrigues, et al.. (2024). Differential morphophysiological and epigenetic responses during in vitro multiplication of Quercus robur depending on donor age and plant growth regulators. Plant Cell Tissue and Organ Culture (PCTOC). 159(3). 5 indexed citations
2.
Barciszewski, Jan, et al.. (2023). The forerunners and successful partnerships behind the BioNTech mRNA vaccine. Journal of Applied Genetics. 65(1). 47–55. 5 indexed citations
3.
Grześkowiak, Bartosz F., Kosma Szutkowski, Jan Barciszewski, et al.. (2019). Nano-mediated delivery of double-stranded RNA for gene therapy of glioblastoma multiforme. PLoS ONE. 14(3). e0213852–e0213852. 31 indexed citations
4.
Pirat, Jean‐Luc, David Virieux, Jean‐Noël Volle, et al.. (2019). Synthesis, structural studies and biological properties of some phosphono-perfluorophenylalanine derivatives formed by SNAr reactions. RSC Advances. 9(42). 24117–24133. 2 indexed citations
5.
Barciszewski, Jan, et al.. (2018). Epigenetic control of the cellular processes. 2 indexed citations
6.
Framski, Grzegorz, et al.. (2017). New antiglioma zwitterionic pronucleotides with an FdUMP framework. European Journal of Medicinal Chemistry. 144. 682–691. 6 indexed citations
7.
Belter, Agnieszka, et al.. (2016). Effect of small molecules on cell reprogramming. Molecular BioSystems. 13(2). 277–313. 17 indexed citations
8.
Sultan, Laure D., Daria Mileshina, Felix Grewe, et al.. (2016). The Reverse Transcriptase/RNA Maturase Protein MatR Is Required for the Splicing of Various Group II Introns in Brassicaceae Mitochondria. The Plant Cell. 28(11). 2805–2829. 69 indexed citations
9.
Barciszewska, Mirosława Z., et al.. (2015). tRNA – the golden standard in molecular biology. Molecular BioSystems. 12(1). 12–17. 21 indexed citations
10.
Chomczyński, Piotr, et al.. (2015). Lycopene in the chemoprevention of cancer and cardiovascular diseases. 1 indexed citations
11.
Najbauer, Joseph, et al.. (2015). Planarians as a model of aging to study the interaction between stem cells and senescent cells in vivo. SHILAP Revista de lepidopterología. 5(1). 30052–30052. 5 indexed citations
12.
Erdmann, Volker A., Wojciech T. Markiewicz, & Jan Barciszewski. (2014). Chemical biology of nucleic acids : fundamentals and clinical applications. Springer eBooks. 7 indexed citations
13.
Polkowska‐Kowalczyk, Lidia, et al.. (2013). Reactive oxygen species and DNA methylation changes in wounded maize leaves. BioTechnologia. 94(2). 1 indexed citations
14.
Giel-Pietraszuk, Małgorzata, et al.. (2011). Metylacja cytozyny w DNA i jej znaczenie w terapii przeciwnowotworowej. Postępy Biochemii. 57(1). 1 indexed citations
15.
Giel-Pietraszuk, Małgorzata & Jan Barciszewski. (2005). A nature of conformational changes of yeast tRNAPhe. International Journal of Biological Macromolecules. 37(3). 109–114. 17 indexed citations
16.
Barciszewska, Mirosława Z., et al.. (2000). An Analysis of G-U Base Pair Occurrence in Eukaryotic 5S rRNAs. Molecular Biology and Evolution. 17(8). 1194–1198. 14 indexed citations
17.
Szyk, Agnieszka, Piotr Mucha, Piotr Rekowski, Małgorzata Giel-Pietraszuk, & Jan Barciszewski. (1999). Synthesis and Circular Dichroism Studies of HIV-1 Tat Arginine Rich Domain Analoques Substituted in Arg 52 Position. Polish Journal of Chemistry. 73(5). 879–883. 2 indexed citations
18.
Kalbitzer, Hans Robert, Piotr Mucha, Piotr Rekowski, et al.. (1997). Mechanism of the activation of proteinase inhibitors synthesis by systemic involves beta-sheet structure, a specific DNA binding protein domain. 34. 1 indexed citations
19.
Barciszewski, Jan, et al.. (1997). Mechanism of kinetin formation in DNA. 34. 1 indexed citations
20.
Mucha, Piotr, Piotr Rekowski, Agnieszka Szyk, G. Kupryszewski, & Jan Barciszewski. (1997). SYSTEMIN : A POLIPEPTIDE INDUCER OF PROTEINASE INHIBITORS SYNTHESIS IN PLANTS : SYNTHESIS AND CHEMICAL STABILITY. Polish Journal of Chemistry. 71(9). 1370–1373.

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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