Leszek Lipiński

1.6k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Leszek Lipiński is a scholar working on Molecular Biology, Environmental Chemistry and Ecology. According to data from OpenAlex, Leszek Lipiński has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Environmental Chemistry and 5 papers in Ecology. Recurrent topics in Leszek Lipiński's work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers) and Anaerobic Digestion and Biogas Production (4 papers). Leszek Lipiński is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers) and Anaerobic Digestion and Biogas Production (4 papers). Leszek Lipiński collaborates with scholars based in Poland, Netherlands and United States. Leszek Lipiński's co-authors include Andrzej Dziembowski, Paweł S. Krawczyk, Maciej Żylicz, Fanny Caffin, Aleksandra Helwak, Grzegorz Kudla, Adam Sobczak, Łukasz Drewniak, Adam Pyzik and Aleksandra Skłodowska and has published in prestigious journals such as Nucleic Acids Research, PLoS Biology and Frontiers in Microbiology.

In The Last Decade

Leszek Lipiński

23 papers receiving 1.2k citations

Hit Papers

PlasFlow: predicting plasmid sequences in metagenomic dat... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures
    2017 396 citations Paweł S. Krawczyk, Leszek Lipiński et al. Nucleic Acids Research profile →

Peers

Leszek Lipiński
Paweł S. Krawczyk Poland
Matthew Scholz United States
Urszula Zielenkiewicz Poland
Nicole E. Smalley United States
Éric Peyretaillade France
Josselin Bodilis France
Bhaskar Reddy India
Martin Tay Singapore
Erik L. Hendrickson United States
Wen Yin China
Paweł S. Krawczyk Poland
Leszek Lipiński
Citations per year, relative to Leszek Lipiński Leszek Lipiński (= 1×) peers Paweł S. Krawczyk

Countries citing papers authored by Leszek Lipiński

Since Specialization
Citations

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

Fields of papers citing papers by Leszek Lipiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leszek Lipiński

This figure shows the co-authorship network connecting the top 25 collaborators of Leszek Lipiński. A scholar is included among the top collaborators of Leszek Lipiński 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 Leszek Lipiński. Leszek Lipiński 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
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Pyzik, Adam, Paweł S. Krawczyk, Adam Sobczak, et al.. (2018). Comparative analysis of deep sequenced methanogenic communities: identification of microorganisms responsible for methane production. Microbial Cell Factories. 17(1). 197–197. 30 indexed citations
4.
Lipiński, Leszek, et al.. (2018). Genomic and Functional Characterization of Environmental Strains of SDS-Degrading Pseudomonas spp., Providing a Source of New Sulfatases. Frontiers in Microbiology. 9. 1795–1795. 17 indexed citations
5.
Lipiński, Leszek, et al.. (2018). Pseudomonas laurylsulfatovorans sp. nov., sodium dodecyl sulfate degrading bacteria, isolated from the peaty soil of a wastewater treatment plant. Systematic and Applied Microbiology. 41(4). 348–354. 22 indexed citations
6.
Sobczak, Adam, et al.. (2018). Sphingopyxis lindanitolerans sp. nov. strain WS5A3pT enriched from a pesticide disposal site. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 68(12). 3935–3941. 10 indexed citations
7.
Pyzik, Adam, Paweł S. Krawczyk, Adam Sobczak, et al.. (2017). Adaptation of Methanogenic Inocula to Anaerobic Digestion of Maize Silage. Frontiers in Microbiology. 8. 1881–1881. 48 indexed citations
8.
Spólnik, Grzegorz, et al.. (2017). Isolation and Characterization of Pseudomonas spp. Strains That Efficiently Decompose Sodium Dodecyl Sulfate. Frontiers in Microbiology. 8. 1872–1872. 25 indexed citations
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Decewicz, Przemysław, Łukasz Dziewit, Monika Radlińska, et al.. (2017). Analysis of the Genome and Mobilome of a Dissimilatory Arsenate Reducing Aeromonas sp. O23A Reveals Multiple Mechanisms for Heavy Metal Resistance and Metabolism. Frontiers in Microbiology. 8. 936–936. 21 indexed citations
11.
Sobczak, Adam, et al.. (2017). Pseudomonas silesiensis sp. nov. strain A3T isolated from a biological pesticide sewage treatment plant and analysis of the complete genome sequence. Systematic and Applied Microbiology. 41(1). 13–22. 23 indexed citations
12.
Krawczyk, Paweł S., Leszek Lipiński, & Andrzej Dziembowski. (2017). PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures. Nucleic Acids Research. 46(6). e35–e35. 396 indexed citations breakdown →
13.
Dziembowski, Andrzej, et al.. (2017). Draft Genome Sequence of the Type Strain Pseudomonas jessenii DSM 17150. Genome Announcements. 5(39). 3 indexed citations
14.
Dziembowski, Andrzej, et al.. (2017). Draft Genome Sequence of the Type Strain Sphingopyxis witflariensis DSM 14551. Genome Announcements. 5(36). 5 indexed citations
15.
Dziembowski, Andrzej, et al.. (2017). Draft Genome Sequence of the Type Strain Pseudomonas umsongensis DSM 16611. Genome Announcements. 5(39). 5 indexed citations
16.
Drewniak, Łukasz, Paweł S. Krawczyk, Dorota Adamska, et al.. (2016). Physiological and Metagenomic Analyses of Microbial Mats Involved in Self-Purification of Mine Waters Contaminated with Heavy Metals. Frontiers in Microbiology. 7. 1252–1252. 50 indexed citations
17.
Dziewit, Łukasz, Adam Pyzik, Adam Sobczak, et al.. (2015). Novel molecular markers for the detection of methanogens and phylogenetic analyses of methanogenic communities. Frontiers in Microbiology. 6. 694–694. 32 indexed citations
18.
Larmonier, Claire B., Daniel Laubitz, Kareem W. Shehab, et al.. (2013). Reduced colonic microbial diversity is associated with colitis in NHE3-deficient mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 305(10). G667–G677. 70 indexed citations
19.
Kudla, Grzegorz, Leszek Lipiński, Fanny Caffin, Aleksandra Helwak, & Maciej Żylicz. (2006). High Guanine and Cytosine Content Increases mRNA Levels in Mammalian Cells. PLoS Biology. 4(6). e180–e180. 351 indexed citations
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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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