Marek J. Piatek

1.3k total citations
16 papers, 669 citations indexed

About

Marek J. Piatek is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Marek J. Piatek has authored 16 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Marek J. Piatek's work include Plant Virus Research Studies (6 papers), Identification and Quantification in Food (5 papers) and CRISPR and Genetic Engineering (4 papers). Marek J. Piatek is often cited by papers focused on Plant Virus Research Studies (6 papers), Identification and Quantification in Food (5 papers) and CRISPR and Genetic Engineering (4 papers). Marek J. Piatek collaborates with scholars based in United States, Saudi Arabia and Australia. Marek J. Piatek's co-authors include Magdy M. Mahfouz, Lixin Li, Jian‐Kang Zhu, Dhinoth Bangarusamy, Xiaoyun Fang, Zahir Ali, Hicham Mansour, Aala A. Abulfaraj, Michael L. Berumen and Joseph D. DiBattista and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and New Phytologist.

In The Last Decade

Marek J. Piatek

16 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek J. Piatek United States 12 409 356 98 86 68 16 669
Derek Drost United States 7 343 0.8× 371 1.0× 51 0.5× 169 2.0× 25 0.4× 7 652
Ghislaine Magdelenat France 13 224 0.5× 355 1.0× 72 0.7× 87 1.0× 20 0.3× 19 628
Patrick Vallée France 13 232 0.6× 479 1.3× 23 0.2× 113 1.3× 45 0.7× 17 597
David Macaya‐Sanz United States 16 235 0.6× 334 0.9× 71 0.7× 282 3.3× 45 0.7× 31 701
Amir Szitenberg Israel 14 266 0.7× 150 0.4× 246 2.5× 46 0.5× 31 0.5× 22 572
Sara Pinosio Italy 12 298 0.7× 420 1.2× 49 0.5× 267 3.1× 25 0.4× 20 669
Carol A. Loopstra United States 18 478 1.2× 460 1.3× 78 0.8× 201 2.3× 31 0.5× 28 815
Katherine S. Geist United States 7 283 0.7× 181 0.5× 70 0.7× 157 1.8× 55 0.8× 9 515
Yoshihiro Inoue Japan 16 455 1.1× 880 2.5× 93 0.9× 89 1.0× 25 0.4× 49 1.2k
Reuben W. Nowell United Kingdom 11 239 0.6× 193 0.5× 153 1.6× 224 2.6× 48 0.7× 17 597

Countries citing papers authored by Marek J. Piatek

Since Specialization
Citations

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

Fields of papers citing papers by Marek J. Piatek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marek J. Piatek. 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 Marek J. Piatek. The network helps show where Marek J. Piatek may publish in the future.

Co-authorship network of co-authors of Marek J. Piatek

This figure shows the co-authorship network connecting the top 25 collaborators of Marek J. Piatek. A scholar is included among the top collaborators of Marek J. Piatek 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 Marek J. Piatek. Marek J. Piatek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
DiBattista, Joseph D., Pablo Saenz‐Agudelo, Marek J. Piatek, et al.. (2020). Population genomic response to geographic gradients by widespread and endemic fishes of the Arabian Peninsula. Ecology and Evolution. 10(10). 4314–4330. 17 indexed citations
2.
Looney, Brian P., Peter Meidl, Marek J. Piatek, et al.. (2018). Russulaceae: a new genomic dataset to study ecosystem function and evolutionary diversification of ectomycorrhizal fungi with their tree associates. New Phytologist. 218(1). 54–65. 79 indexed citations
3.
Lee, Laura L., Sara E. Blumer‐Schuette, Javier A. Izquierdo, et al.. (2018). Genus-Wide Assessment of Lignocellulose Utilization in the Extremely Thermophilic Genus Caldicellulosiruptor by Genomic, Pangenomic, and Metagenomic Analyses. Applied and Environmental Microbiology. 84(9). 31 indexed citations
4.
Blair, Patricia M., Miriam Land, Marek J. Piatek, et al.. (2018). Exploration of the Biosynthetic Potential of the Populus Microbiome. mSystems. 3(5). 38 indexed citations
5.
DiBattista, Joseph D., Pablo Saenz‐Agudelo, Marek J. Piatek, et al.. (2017). Using a butterflyfish genome as a general tool for RAD‐Seq studies in specialized reef fish. Molecular Ecology Resources. 17(6). 1330–1341. 7 indexed citations
6.
DiBattista, Joseph D., Michelle R. Gaither, J. Hobbs, et al.. (2017). Comparative phylogeography of reef fishes from the Gulf of Aden to the Arabian Sea reveals two cryptic lineages. Coral Reefs. 36(2). 625–638. 35 indexed citations
7.
Russell, Kerry S., Denise P. Yates, Andrea Feller, et al.. (2017). Abstract 11: Effects of Canakinumab in Patients With Peripheral Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 37(suppl_1). 1 indexed citations
8.
DiBattista, Joseph D., Xin Wang, Pablo Saenz‐Agudelo, et al.. (2016). Draft genome of an iconic Red Sea reef fish, the blacktail butterflyfish (Chaetodon austriacus): current status and its characteristics. Molecular Ecology Resources. 18(2). 347–355. 11 indexed citations
9.
Saenz‐Agudelo, Pablo, Joseph D. DiBattista, Marek J. Piatek, et al.. (2015). Seascape genetics along environmental gradients in the Arabian Peninsula: insights from ddRAD sequencing of anemonefishes. Molecular Ecology. 24(24). 6241–6255. 57 indexed citations
10.
Ali, Zahir, Aala A. Abulfaraj, Marek J. Piatek, & Magdy M. Mahfouz. (2015). Activity and specificity of TRV-mediated gene editing in plants. Plant Signaling & Behavior. 10(10). e1044191–e1044191. 62 indexed citations
11.
Idris, A. M., Mohammed A. Al‐Saleh, Marek J. Piatek, et al.. (2014). Viral Metagenomics: Analysis of Begomoviruses by Illumina High-Throughput Sequencing. Viruses. 6(3). 1219–1236. 46 indexed citations
12.
Li, Lixin, Ahmed Atef, Agnieszka Piatek, et al.. (2013). Characterization and DNA-Binding Specificities of Ralstonia TAL-Like Effectors. Molecular Plant. 6(4). 1318–1330. 49 indexed citations
13.
Piatek, Marek J., Dharani Dhar Burra, Boris R. Janković, et al.. (2013). Simplified Method for Predicting a Functional Class of Proteins in Transcription Factor Complexes. PLoS ONE. 8(7). e68857–e68857. 1 indexed citations
14.
Aouida, Mustapha, Marek J. Piatek, Dhinoth Bangarusamy, & Magdy M. Mahfouz. (2013). Activities and specificities of homodimeric TALENs in Saccharomyces cerevisiae. Current Genetics. 60(2). 61–74. 36 indexed citations
15.
Li, Lixin, Marek J. Piatek, Ahmed Atef, et al.. (2012). Rapid and highly efficient construction of TALE-based transcriptional regulators and nucleases for genome modification. Plant Molecular Biology. 78(4-5). 407–416. 80 indexed citations
16.
Mahfouz, Magdy M., Lixin Li, Marek J. Piatek, et al.. (2011). Targeted transcriptional repression using a chimeric TALE-SRDX repressor protein. Plant Molecular Biology. 78(3). 311–321. 119 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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