Łukasz Kreft

2.4k total citations · 2 hit papers
15 papers, 921 citations indexed

About

Łukasz Kreft is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Łukasz Kreft has authored 15 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Łukasz Kreft's work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (2 papers) and Protein Structure and Dynamics (2 papers). Łukasz Kreft is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (2 papers) and Protein Structure and Dynamics (2 papers). Łukasz Kreft collaborates with scholars based in Belgium, United States and Poland. Łukasz Kreft's co-authors include Alexander Botzki, Frederik Coppens, Klaas Vandepoele, Michiel Van Bel, Tim Diels, Yves Van de Peer, Emmelien Vancaester, Francesca Silvestri, Eric Weitz and Arne Soete and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Łukasz Kreft

12 papers receiving 915 citations

Hit Papers

PLAZA 4.0: an integrative resource for functional, evolut... 2017 2026 2020 2023 2017 2024 100 200 300

Peers

Łukasz Kreft
Jeffrey M. Yunes United States
Rui Qin China
Dorjee G. Tamang United States
Brian V. Tsu United States
Tibor Pechan United States
Łukasz Kreft
Citations per year, relative to Łukasz Kreft Łukasz Kreft (= 1×) peers Xiaoyun Liu

Countries citing papers authored by Łukasz Kreft

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Kreft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Kreft

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

All Works

15 of 15 papers shown
1.
Piampongsant, Supinya, Miguel Roncoroni, Beatriz Herrera‐Malaver, et al.. (2024). Predicting and improving complex beer flavor through machine learning. Nature Communications. 15(1). 2368–2368. 62 indexed citations breakdown →
2.
Kreft, Łukasz, et al.. (2023). Sex-specific metabolic profiling to explain the increased CVD risk in women with migraine: a narrative review. The Journal of Headache and Pain. 24(1). 64–64. 4 indexed citations
3.
Cortona, Andrea Del, et al.. (2021). TRAPID 2.0: a web application for taxonomic and functional analysis of de novo transcriptomes. Nucleic Acids Research. 49(17). e101–e101. 27 indexed citations
4.
Roca, Carlos P., Oliver T. Burton, Václav Gergelits, et al.. (2021). AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data. Nature Communications. 12(1). 2890–2890. 23 indexed citations
5.
Bel, Michiel Van, Francesca Silvestri, Eric Weitz, et al.. (2021). PLAZA 5.0: extending the scope and power of comparative and functional genomics in plants. Nucleic Acids Research. 50(D1). D1468–D1474. 133 indexed citations
6.
Houben, Bert, et al.. (2019). Protein Homeostasis Database: protein quality control in E.coli. Bioinformatics. 36(3). 948–949. 3 indexed citations
7.
Kreft, Łukasz, Demet Turan, Niels Hulstaert, et al.. (2018). Scop3D: Online Visualization of Mutation Rates on Protein Structure. Journal of Proteome Research. 18(2). 765–769. 1 indexed citations
8.
Kreft, Łukasz, Alexander Botzki, Frederik Coppens, Klaas Vandepoele, & Michiel Van Bel. (2017). PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics. 33(18). 2946–2947. 196 indexed citations
9.
Bel, Michiel Van, Tim Diels, Emmelien Vancaester, et al.. (2017). PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics. Nucleic Acids Research. 46(D1). D1190–D1196. 324 indexed citations breakdown →
10.
Kreft, Łukasz, Arne Soete, Paco Hulpiau, et al.. (2017). ConTra v3: a tool to identify transcription factor binding sites across species, update 2017. Nucleic Acids Research. 45(W1). W490–W494. 99 indexed citations
11.
Miettinen, Karel, Sabrina Iñigo, Łukasz Kreft, et al.. (2017). The TriForC database: a comprehensive up-to-date resource of plant triterpene biosynthesis. Nucleic Acids Research. 46(D1). D586–D594. 47 indexed citations
12.
Kreft, Łukasz, et al.. (2014). A new division of bacterial UvrA homologues. BioTechnologia. 94(1). 54–56. 2 indexed citations
13.
Kreft, Łukasz, et al.. (2012). Discovery and identification of novel additional priB genes in bacteria. Lirias (KU Leuven).
14.
Kreft, Łukasz, et al.. (2012). Identification of novel additional uvrA genes in bacteria. Lirias (KU Leuven).
15.
Kreft, Łukasz, et al.. (2012). Biodiversity of SSB proteins in the kingdom of bacteria. Lirias (KU Leuven).

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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