Jan Fronk

923 total citations
37 papers, 747 citations indexed

About

Jan Fronk is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Jan Fronk has authored 37 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Plant Science and 9 papers in Biomedical Engineering. Recurrent topics in Jan Fronk's work include Slime Mold and Myxomycetes Research (9 papers), Genomics and Chromatin Dynamics (7 papers) and Plant Stress Responses and Tolerance (6 papers). Jan Fronk is often cited by papers focused on Slime Mold and Myxomycetes Research (9 papers), Genomics and Chromatin Dynamics (7 papers) and Plant Stress Responses and Tolerance (6 papers). Jan Fronk collaborates with scholars based in Poland, United States and Switzerland. Jan Fronk's co-authors include Paweł Sowiński, Maciej Jończyk, Joanna Szczepanowska, Joanna Trzcińska‐Danielewicz, J. Adamczyk, Katarzyna Piwocka, Grażyna Mosieniak, Małgorzata Alicja Śliwińska, Adriana Magalska and Kamila Wolanin and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Jan Fronk

37 papers receiving 740 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 Fronk Poland 15 414 310 104 104 65 37 747
Jianjun Guo China 15 707 1.7× 792 2.6× 41 0.4× 60 0.6× 26 0.4× 23 1.1k
Maria J. Tavares Portugal 11 330 0.8× 193 0.6× 32 0.3× 95 0.9× 73 1.1× 15 628
Mariko Kato Japan 15 569 1.4× 485 1.6× 52 0.5× 29 0.3× 104 1.6× 24 882
Anne‐Marie Marini Belgium 7 622 1.5× 446 1.4× 185 1.8× 134 1.3× 142 2.2× 7 1.2k
Avelina Q. Paulsen United States 12 190 0.5× 216 0.7× 60 0.6× 44 0.4× 93 1.4× 34 519
Xiaoqin Lin China 13 416 1.0× 53 0.2× 92 0.9× 74 0.7× 43 0.7× 27 716
Valeria Merico Italy 20 568 1.4× 134 0.4× 23 0.2× 210 2.0× 38 0.6× 47 1.0k
Shaheen Mowla South Africa 14 614 1.5× 472 1.5× 25 0.2× 71 0.7× 41 0.6× 33 1.0k
Grégoire Denay France 9 872 2.1× 345 1.1× 27 0.3× 111 1.1× 46 0.7× 11 1.1k
Jennifer Dahan United States 19 751 1.8× 697 2.2× 47 0.5× 44 0.4× 60 0.9× 40 1.3k

Countries citing papers authored by Jan Fronk

Since Specialization
Citations

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

Fields of papers citing papers by Jan Fronk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Fronk

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Fronk. A scholar is included among the top collaborators of Jan Fronk 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 Fronk. Jan Fronk 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.
Kwiatkowska, Katarzyna, et al.. (2020). Flotillins: At the Intersection of Protein S-Palmitoylation and Lipid-Mediated Signaling. International Journal of Molecular Sciences. 21(7). 2283–2283. 60 indexed citations
2.
Sowiński, Paweł, et al.. (2020). Maize Response to Low Temperatures at the Gene Expression Level: A Critical Survey of Transcriptomic Studies. Frontiers in Plant Science. 11. 576941–576941. 20 indexed citations
3.
4.
Jończyk, Maciej, et al.. (2017). Global analysis of gene expression in maize leaves treated with low temperature. II. Combined effect of severe cold (8 °C) and circadian rhythm. Plant Molecular Biology. 95(3). 279–302. 19 indexed citations
5.
Jończyk, Maciej, J. Adamczyk, Danuta Solecka, et al.. (2016). Molecular foundations of chilling-tolerance of modern maize. BMC Genomics. 17(1). 125–125. 52 indexed citations
6.
Grynberg, Marcin, et al.. (2015). Newly identified protein Imi1 affects mitochondrial integrity and glutathione homeostasis inSaccharomyces cerevisiae. FEMS Yeast Research. 15(6). fov048–fov048. 6 indexed citations
7.
Jończyk, Maciej, Emilia Jarochowska, Przemysław Biecek, et al.. (2014). Genome-wide transcriptomic analysis of response to low temperature reveals candidate genes determining divergent cold-sensitivity of maize inbred lines. Plant Molecular Biology. 85(3). 317–331. 56 indexed citations
8.
Czyż, Aneta, Wojciech Brutkowski, Jan Fronk, Jerzy Duszyński, & Krzysztof Zabłocki. (2009). Tunicamycin desensitizes store-operated Ca2+ entry to ATP and mitochondrial potential. Biochemical and Biophysical Research Communications. 381(2). 176–180. 15 indexed citations
9.
Kozłowska, Ewa, et al.. (2008). The F658G substitution in Saccharomyces cerevisiae cohesin Irr1/Scc3 is semi-dominant in the diploid and disturbs mitosis, meiosis and the cell cycle. European Journal of Cell Biology. 87(10). 831–844. 3 indexed citations
10.
Trzcińska‐Danielewicz, Joanna, et al.. (2008). Yeast transcription factor Oaf1 forms homodimer and induces some oleate-responsive genes in absence of Pip2. Biochemical and Biophysical Research Communications. 374(4). 763–766. 12 indexed citations
11.
Śliwińska, Małgorzata Alicja, Grażyna Mosieniak, Kamila Wolanin, et al.. (2008). Induction of senescence with doxorubicin leads to increased genomic instability of HCT116 cells. Mechanisms of Ageing and Development. 130(1-2). 24–32. 156 indexed citations
12.
Pijanowska, Joanna, et al.. (2007). Phenotypic plasticity within Daphnia longispina complex: differences between parental and hybrid clones. Polish Journal of Ecology. 55(4). 761–769. 4 indexed citations
13.
Fronk, Jan, et al.. (2007). Substitution F659G in the Irr1p/Scc3p Cohesin Influences the Cell Wall of Saccharomyces cerevisiae. Cell Structure and Function. 32(1). 1–7. 5 indexed citations
14.
Ishikawa, Takao, et al.. (2007). Expression of murine DNA methyltransferases Dnmt1 and Dnmt3a in the yeast Saccharomyces cerevisiae. Yeast. 24(10). 871–882. 10 indexed citations
15.
Trzcińska‐Danielewicz, Joanna, et al.. (2002). Genomic Structure of Two Ras Family Genes in the Slime Mold Physarum Polycephalum. DNA sequence. 13(4). 231–236. 1 indexed citations
16.
Fronk, Jan, et al.. (1994). Gene‐specific changes of DNA methylation accompany differentiation of the slime mold Physarum polycephalum. Cell Biology International. 18(9). 907–909. 2 indexed citations
17.
Kozłowski, Piotr, et al.. (1993). Identification of a ras gene in the slime mold Physarum polycephalum. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1173(3). 357–359. 8 indexed citations
18.
Fronk, Jan, et al.. (1992). DNA methylation pattern changes during development of a sea urchin. Biochemical Journal. 283(3). 751–753. 14 indexed citations
19.
Fronk, Jan, et al.. (1990). Chromatin structure of the developmentally regulated early histone genes of the sea urchinStrongylocentrotus purpuratus. Nucleic Acids Research. 18(17). 5255–5263. 14 indexed citations
20.
Wiśniewski, Jan, et al.. (1985). A method for isolation of cytoplasmic RNA from a slime mold, Physarum polycephalum. Analytical Biochemistry. 148(1). 245–248. 6 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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