Jerzy Paszkowski

13.2k total citations · 1 hit paper
106 papers, 9.6k citations indexed

About

Jerzy Paszkowski is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Jerzy Paszkowski has authored 106 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Plant Science, 81 papers in Molecular Biology and 14 papers in Biotechnology. Recurrent topics in Jerzy Paszkowski's work include Plant tissue culture and regeneration (50 papers), Plant Molecular Biology Research (49 papers) and Chromosomal and Genetic Variations (34 papers). Jerzy Paszkowski is often cited by papers focused on Plant tissue culture and regeneration (50 papers), Plant Molecular Biology Research (49 papers) and Chromosomal and Genetic Variations (34 papers). Jerzy Paszkowski collaborates with scholars based in Switzerland, France and United Kingdom. Jerzy Paszkowski's co-authors include Ortrun Mittelsten Scheid, Marie Mirouze, Ingo Potrykus, Raymond D. Shillito, Aline V. Probst, Etienne Bucher, Muhammad Tariq, Karin Afsar, Olivier Mathieu and Isabelle Vaillant and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jerzy Paszkowski

106 papers receiving 9.2k citations

Hit Papers

An siRNA pathway prevents transgenerational retrotranspos... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerzy Paszkowski Switzerland 55 7.9k 6.8k 1.2k 750 204 106 9.6k
R. B. Flavell United Kingdom 56 6.8k 0.9× 4.6k 0.7× 731 0.6× 1.1k 1.5× 461 2.3× 163 8.6k
Michel Delseny France 53 6.6k 0.8× 5.2k 0.8× 357 0.3× 759 1.0× 338 1.7× 176 8.5k
Frank Gubler Australia 42 7.5k 0.9× 4.7k 0.7× 404 0.3× 311 0.4× 294 1.4× 74 8.2k
Holger Puchta Germany 60 7.1k 0.9× 8.4k 1.3× 764 0.6× 731 1.0× 128 0.6× 175 9.8k
John Bedbrook United States 32 4.0k 0.5× 4.1k 0.6× 768 0.6× 477 0.6× 333 1.6× 52 5.7k
Tom J. Guilfoyle United States 45 13.4k 1.7× 11.0k 1.6× 301 0.3× 293 0.4× 212 1.0× 102 14.3k
John J. Harada United States 55 10.7k 1.4× 8.6k 1.3× 256 0.2× 914 1.2× 569 2.8× 102 12.4k
Masaki Iwabuchi Japan 34 4.5k 0.6× 4.0k 0.6× 325 0.3× 259 0.3× 160 0.8× 130 5.8k
Judy Callis United States 46 5.9k 0.7× 6.4k 1.0× 506 0.4× 292 0.4× 95 0.5× 81 8.7k
Pamela Dunsmuir United States 38 3.7k 0.5× 3.9k 0.6× 748 0.6× 302 0.4× 89 0.4× 66 5.2k

Countries citing papers authored by Jerzy Paszkowski

Since Specialization
Citations

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

Fields of papers citing papers by Jerzy Paszkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerzy Paszkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jerzy Paszkowski. A scholar is included among the top collaborators of Jerzy Paszkowski 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 Jerzy Paszkowski. Jerzy Paszkowski 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.
Benoit, Matthias, Hajk‐Georg Drost, Marco Catoni, et al.. (2019). Environmental and epigenetic regulation of Rider retrotransposons in tomato. PLoS Genetics. 15(9). e1008370–e1008370. 53 indexed citations
2.
Catoni, Marco, et al.. (2018). Mobilization of Pack-CACTA transposons in Arabidopsis suggests the mechanism of gene shuffling. Nucleic Acids Research. 47(3). 1311–1320. 19 indexed citations
3.
Cho, Jungnam, Matthias Benoit, Marco Catoni, et al.. (2018). Sensitive detection of pre-integration intermediates of long terminal repeat retrotransposons in crop plants. Nature Plants. 5(1). 26–33. 36 indexed citations
4.
Catoni, Marco, Jayne Griffiths, Claude Becker, et al.. (2017). DNA sequence properties that predict susceptibility to epiallelic switching. The EMBO Journal. 36(5). 617–628. 39 indexed citations
5.
Sánchez, Diego H., et al.. (2017). High-frequency recombination between members of an LTR retrotransposon family during transposition bursts. Nature Communications. 8(1). 1283–1283. 37 indexed citations
6.
Reinders, Jon, et al.. (2015). Heterosis and inbreeding depression of epigenetic Arabidopsis hybrids. Nature Plants. 1(7). 15092–15092. 66 indexed citations
7.
Iwasaki, Mayumi & Jerzy Paszkowski. (2014). Identification of genes preventing transgenerational transmission of stress-induced epigenetic states. Proceedings of the National Academy of Sciences. 111(23). 8547–8552. 106 indexed citations
8.
Nazarko, Joanicjusz, Joanna Ejdys, Ewa Glińska, et al.. (2013). Podlaska strategia rozwoju nanotechnologii do 2020 roku. Przełomowa wizja regionu. CeON Repository (Centre for Evaluation in Education and Science). 4 indexed citations
9.
Tittel-Elmer, Mireille, Etienne Bucher, Larissa Broger, et al.. (2010). Stress-Induced Activation of Heterochromatic Transcription. PLoS Genetics. 6(10). e1001175–e1001175. 186 indexed citations
10.
Reinders, Jon, Brande B. H. Wulff, Marie Mirouze, et al.. (2009). Compromised stability of DNA methylation and transposon immobilization in mosaic Arabidopsis epigenomes. Genes & Development. 23(8). 939–950. 320 indexed citations
11.
Vaillant, Isabelle & Jerzy Paszkowski. (2007). Role of histone and DNA methylation in gene regulation. Current Opinion in Plant Biology. 10(5). 528–533. 151 indexed citations
12.
Mathieu, Olivier, et al.. (2007). Transgenerational Stability of the Arabidopsis Epigenome Is Coordinated by CG Methylation. Cell. 130(5). 851–862. 325 indexed citations
13.
Tariq, Muhammad, Hidetoshi Saze, Aline V. Probst, et al.. (2003). Erasure of CpG methylation in Arabidopsis alters patterns of histone H3 methylation in heterochromatin. Proceedings of the National Academy of Sciences. 100(15). 8823–8827. 245 indexed citations
14.
Hanin, Moez & Jerzy Paszkowski. (2003). Plant genome modification by homologous recombination. Current Opinion in Plant Biology. 6(2). 157–162. 89 indexed citations
15.
Mengiste, Tesfaye & Jerzy Paszkowski. (1999). Prospects for the Precise Engineering of Plant Genomes by Homologous Recombination. Biological Chemistry. 380(7-8). 749–58. 62 indexed citations
16.
Paszkowski, Jerzy & Ortrun Mittelsten Scheid. (1998). Plant genes: The genetics of epigenetics. Current Biology. 8(6). R206–R208. 17 indexed citations
17.
Masson, Jean E., Patrick King, & Jerzy Paszkowski. (1997). Mutants of Arabidopsis thaliana Hypersensitive to DNA-Damaging Treatments. Genetics. 146(1). 401–407. 30 indexed citations
18.
Paszkowski, Jerzy, et al.. (1994). High fidelity extrachromosomal recombination and gene targeting in plants. Molecular and General Genetics MGG. 243(1). 106–111. 20 indexed citations
19.
Peterhans, Alex & Jerzy Paszkowski. (1990). Prospects for homologous recombination in plants.. Plant Biology. 11. 155–170. 3 indexed citations
20.
Paszkowski, Jerzy, Markus Baur, Augustyn Bogucki, & Ingo Potrykus. (1988). Gene targeting in plants. The EMBO Journal. 7(13). 4021–4026. 265 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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