Lucas Czech

2.9k total citations · 3 hit papers
21 papers, 1.3k citations indexed

About

Lucas Czech is a scholar working on Molecular Biology, Ecology and Paleontology. According to data from OpenAlex, Lucas Czech has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Ecology and 4 papers in Paleontology. Recurrent topics in Lucas Czech's work include Genomics and Phylogenetic Studies (14 papers), Microbial Community Ecology and Physiology (9 papers) and Protist diversity and phylogeny (7 papers). Lucas Czech is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Microbial Community Ecology and Physiology (9 papers) and Protist diversity and phylogeny (7 papers). Lucas Czech collaborates with scholars based in Germany, United States and Norway. Lucas Czech's co-authors include Alexandros Stamatakis, Pierre Barbera, Alexey M. Kozlov, Benoît Morel, Diego Darriba, Tomáš Flouri, Micah Dunthorn, Frédéric Mahé, Moisés Expósito‐Alonso and David Bass and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Lucas Czech

21 papers receiving 1.3k citations

Hit Papers

EPA-ng: Massively Parallel Evolutionary Placement of Gene... 2018 2026 2020 2023 2018 2020 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas Czech Germany 13 689 614 213 177 114 21 1.3k
Rewati Tappu Germany 6 683 1.0× 557 0.9× 201 0.9× 91 0.5× 62 0.5× 7 1.4k
Isabell Flade Germany 3 594 0.9× 540 0.9× 202 0.9× 99 0.6× 61 0.5× 5 1.3k
Sina Beier Germany 8 653 0.9× 589 1.0× 232 1.1× 108 0.6× 69 0.6× 11 1.4k
Julia Schwartzman United States 20 577 0.8× 460 0.7× 127 0.6× 180 1.0× 134 1.2× 33 1.3k
Brian Bushnell United States 9 1.1k 1.6× 755 1.2× 302 1.4× 222 1.3× 103 0.9× 13 1.9k
Joshua Ladau United States 14 923 1.3× 1.0k 1.6× 282 1.3× 99 0.6× 181 1.6× 25 2.1k
Pierre Barbera Germany 9 573 0.8× 528 0.9× 245 1.2× 99 0.6× 34 0.3× 10 1.1k
Sylvie Estrela United States 17 755 1.1× 533 0.9× 172 0.8× 450 2.5× 155 1.4× 22 1.5k
Sandi Wong United States 6 734 1.1× 452 0.7× 114 0.5× 59 0.3× 63 0.6× 7 1.4k
Roland C. Wilhelm United States 23 625 0.9× 696 1.1× 482 2.3× 113 0.6× 94 0.8× 47 2.0k

Countries citing papers authored by Lucas Czech

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Czech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Czech

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Czech. A scholar is included among the top collaborators of Lucas Czech 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 Lucas Czech. Lucas Czech 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.
Czech, Lucas, Jeffrey P. Spence, & Moisés Expósito‐Alonso. (2024). grenedalf: population genetic statistics for the next generation of pool sequencing. Bioinformatics. 40(8). 10 indexed citations
2.
Czech, Lucas, et al.. (2023). Interpreting phylogenetic placements for taxonomic assignment of environmental DNA. Journal of Eukaryotic Microbiology. 70(5). e12990–e12990. 2 indexed citations
3.
Czech, Lucas, Alexandros Stamatakis, Micah Dunthorn, & Pierre Barbera. (2022). Metagenomic Analysis using Phylogenetic Placement -- A Review of the First Decade. arXiv (Cornell University). 36 indexed citations
4.
Czech, Lucas, Alexandros Stamatakis, Micah Dunthorn, & Pierre Barbera. (2022). Metagenomic Analysis Using Phylogenetic Placement—A Review of the First Decade. SHILAP Revista de lepidopterología. 2. 871393–871393. 1 indexed citations
5.
Dhami, Manpreet K., Mark C. Bitter, Lucas Czech, et al.. (2022). Wide-ranging consequences of priority effects governed by an overarching factor. eLife. 11. 26 indexed citations
6.
Czech, Lucas & Moisés Expósito‐Alonso. (2022). grenepipe: a flexible, scalable and reproducible pipeline to automate variant calling from sequence reads. Bioinformatics. 38(20). 4809–4811. 12 indexed citations
7.
Expósito‐Alonso, Moisés, Tom R. Booker, Lucas Czech, et al.. (2022). Genetic diversity loss in the Anthropocene. Science. 377(6613). 1431–1435. 128 indexed citations breakdown →
8.
Mahé, Frédéric, Lucas Czech, Alexandros Stamatakis, et al.. (2021). Swarm v3: towards tera-scale amplicon clustering. Bioinformatics. 38(1). 267–269. 72 indexed citations
9.
Gottschling, Marc, Lucas Czech, Frédéric Mahé, Sina M. Adl, & Micah Dunthorn. (2020). The Windblown: Possible Explanations for Dinophyte DNA in Forest Soils. Journal of Eukaryotic Microbiology. 68(1). e12833–e12833. 10 indexed citations
10.
Czech, Lucas, Pierre Barbera, & Alexandros Stamatakis. (2020). Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data. Bioinformatics. 36(10). 3263–3265. 216 indexed citations breakdown →
11.
Barbera, Pierre, Lucas Czech, Sarah Lutteropp, & Alexandros Stamatakis. (2020). SCRAPP : A tool to assess the diversity of microbial samples from phylogenetic placements. Molecular Ecology Resources. 21(1). 340–349. 9 indexed citations
12.
Czech, Lucas. (2020). Novel Methods for Analyzing and Visualizing Phylogenetic Placements. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
13.
Morel, Benoît, Pierre Barbera, Lucas Czech, et al.. (2020). Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult. Molecular Biology and Evolution. 38(5). 1777–1791. 87 indexed citations
14.
Zhou, Xiaofan, et al.. (2019). Quartet-Based Computations of Internode Certainty Provide Robust Measures of Phylogenetic Incongruence. Systematic Biology. 69(2). 308–324. 30 indexed citations
15.
Jamy, Mahwash, Rachel Foster, Pierre Barbera, et al.. (2019). Long‐read metabarcoding of the eukaryotic rDNA operon to phylogenetically and taxonomically resolve environmental diversity. Molecular Ecology Resources. 20(2). 429–443. 79 indexed citations
16.
Czech, Lucas & Alexandros Stamatakis. (2019). Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples. PLoS ONE. 14(5). e0217050–e0217050. 65 indexed citations
17.
Czech, Lucas, Pierre Barbera, & Alexandros Stamatakis. (2018). Methods for automatic reference trees and multilevel phylogenetic placement. Bioinformatics. 35(7). 1151–1158. 23 indexed citations
18.
Bass, David, Lucas Czech, Ben Williams, et al.. (2018). Clarifying the Relationships between Microsporidia and Cryptomycota. Journal of Eukaryotic Microbiology. 65(6). 773–782. 91 indexed citations
19.
Barbera, Pierre, Alexey M. Kozlov, Lucas Czech, et al.. (2018). EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences. Systematic Biology. 68(2). 365–369. 398 indexed citations breakdown →
20.
Czech, Lucas, Jaime Huerta‐Cepas, & Alexandros Stamatakis. (2017). A Critical Review on the Use of Support Values in Tree Viewers and Bioinformatics Toolkits. Molecular Biology and Evolution. 34(6). 1535–1542. 17 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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