Michał T. Lorenc

1.3k total citations
25 papers, 792 citations indexed

About

Michał T. Lorenc is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Michał T. Lorenc has authored 25 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 12 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Michał T. Lorenc's work include Wheat and Barley Genetics and Pathology (10 papers), Plant Disease Resistance and Genetics (9 papers) and Genomics and Phylogenetic Studies (9 papers). Michał T. Lorenc is often cited by papers focused on Wheat and Barley Genetics and Pathology (10 papers), Plant Disease Resistance and Genetics (9 papers) and Genomics and Phylogenetic Studies (9 papers). Michał T. Lorenc collaborates with scholars based in Australia, India and Czechia. Michał T. Lorenc's co-authors include David Edwards, Kaitao Lai, Paul J. Berkman, Jiri Stiller, Sahana Manoli, Jacqueline Batley, Chris Duran, Satomi Hayashi, Delphine Fleury and Brett J. Ferguson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Theoretical and Applied Genetics.

In The Last Decade

Michał T. Lorenc

25 papers receiving 773 citations

Peers

Michał T. Lorenc

GENET

ACS

Andrew Hauck China

Chengzhi Jiao China

Todd Richter United States

Boulos Chalhoub France

Hanyong Yu China

John L. Portwood United States

Lise Pingault United States

Sandra Giancola France

Chenggen Chu United States

Maxim Troukhan United States

Andrew Hauck China

Michał T. Lorenc

642 ×0.9

325 ×1.2

GENET

328 ×1.3

56 ×0.9

ACS

11 ×0.5

Citations per year, relative to Michał T. Lorenc Michał T. Lorenc (= 1×) peers Andrew Hauck

Countries citing papers authored by Michał T. Lorenc

Since Specialization

Citations

This map shows the geographic impact of Michał T. Lorenc'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 Michał T. Lorenc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał T. Lorenc more than expected).

Fields of papers citing papers by Michał T. Lorenc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał T. Lorenc. 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 Michał T. Lorenc. The network helps show where Michał T. Lorenc may publish in the future.

Co-authorship network of co-authors of Michał T. Lorenc

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

All Works

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20 of 20 papers shown

Wijerathna‐Yapa, Akila, Hafeez ur Rehman, Michał T. Lorenc, et al.. (2023). Rice–wheat comparative genomics: Gains and gaps. The Crop Journal. 12(3). 656–669. 4 indexed citations

Chan, Chon‐Kit Kenneth, Nedeljka Rosić, Michał T. Lorenc, et al.. (2018). A differential k-mer analysis pipeline for comparing RNA-Seq transcriptome and meta-transcriptome datasets without a reference. Functional & Integrative Genomics. 19(2). 363–371. 1 indexed citations

Kumaran, Nagalingam, Michał T. Lorenc, Sahana Manoli, et al.. (2018). Chromatin immunoprecipitation (ChIP) method for non-model fruit flies (Diptera: Tephritidae) and evidence of histone modifications. PLoS ONE. 13(3). e0194420–e0194420. 4 indexed citations

Philips, Joshua G., Fatima Naim, Michał T. Lorenc, et al.. (2017). The widely used Nicotiana benthamiana 16c line has an unusual T-DNA integration pattern including a transposon sequence. PLoS ONE. 12(2). e0171311–e0171311. 19 indexed citations

Lai, Kaitao, Michał T. Lorenc, & David Edwards. (2014). Molecular Marker Databases. Methods in molecular biology. 1245. 49–62. 2 indexed citations

Dalton‐Morgan, Jessica, Alice Hayward, Salman Alamery, et al.. (2014). A high-throughput SNP array in the amphidiploid species Brassica napus shows diversity in resistance genes. Functional & Integrative Genomics. 14(4). 643–655. 35 indexed citations

Berkman, Paul J., Paul Visendi, Jiri Stiller, et al.. (2013). Dispersion and domestication shaped the genome of bread wheat. Plant Biotechnology Journal. 11(5). 564–571. 63 indexed citations

Zander, Manuel, Dhwani A. Patel, Angela P. Van de Wouw, et al.. (2013). Identifying genetic diversity of avirulence genes in Leptosphaeria maculans using whole genome sequencing. Functional & Integrative Genomics. 13(3). 295–308. 15 indexed citations

Tollenaere, Reece, Alice Hayward, Jessica Dalton‐Morgan, et al.. (2012). Identification and characterization of candidate Rlm4 blackleg resistance genes in Brassica napus using next‐generation sequencing. Plant Biotechnology Journal. 10(6). 709–715. 28 indexed citations

10.

Lai, Kaitao, Chris Duran, Paul J. Berkman, et al.. (2012). Single nucleotide polymorphism discovery from wheat next‐generation sequence data. Plant Biotechnology Journal. 10(6). 743–749. 80 indexed citations

11.

Edwards, David, Stephen Wilcox, Roberto A. Barrero, et al.. (2012). Bread matters: a national initiative to profile the genetic diversity of Australian wheat. Plant Biotechnology Journal. 10(6). 703–708. 29 indexed citations

12.

Reid, Dugald, Satomi Hayashi, Michał T. Lorenc, et al.. (2012). Identification of systemic responses in soybean nodulation by xylem sap feeding and complete transcriptome sequencing reveal a novel component of the autoregulation pathway. Plant Biotechnology Journal. 10(6). 680–689. 24 indexed citations

13.

Berkman, Paul J., Kaitao Lai, Michał T. Lorenc, & David Edwards. (2012). Next‐generation sequencing applications for wheat crop improvement. American Journal of Botany. 99(2). 365–371. 71 indexed citations

14.

Hayashi, Satomi, Dugald Reid, Michał T. Lorenc, et al.. (2012). Transient Nod factor‐dependent gene expression in the nodulation‐competent zone of soybean (Glycine max [L.] Merr.) roots. Plant Biotechnology Journal. 10(8). 995–1010. 73 indexed citations

15.

Lai, Kaitao, Michał T. Lorenc, & David Edwards. (2012). Genomic Databases for Crop Improvement. SHILAP Revista de lepidopterología. 2(1). 62–73. 19 indexed citations

16.

Lorenc, Michał T., Satomi Hayashi, Jiri Stiller, et al.. (2012). Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP. Biology. 1(2). 370–382. 46 indexed citations

17.

Berkman, Paul J., Adam Skarshewski, Michał T. Lorenc, et al.. (2011). Sequencing and assembly of low copy and genic regions of isolated Triticum aestivum chromosome arm 7DS. QUT ePrints (Queensland University of Technology). 4 indexed citations

18.

Berkman, Paul J., Adam Skarshewski, Sahana Manoli, et al.. (2011). Sequencing wheat chromosome arm 7BS delimits the 7BS/4AL translocation and reveals homoeologous gene conservation. Theoretical and Applied Genetics. 124(3). 423–432. 67 indexed citations

19.

Lai, Kaitao, Paul J. Berkman, Michał T. Lorenc, et al.. (2011). WheatGenome.info: An Integrated Database and Portal for Wheat Genome Information. Plant and Cell Physiology. 53(2). e2–e2. 37 indexed citations

20.

Berkman, Paul J., Adam Skarshewski, Michał T. Lorenc, et al.. (2011). Sequencing and assembly of low copy and genic regions of isolated Triticum aestivum chromosome arm 7DS. Plant Biotechnology Journal. 9(7). 768–775. 81 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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