David Koslicki

3.0k total citations
38 papers, 552 citations indexed

About

David Koslicki is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, David Koslicki has authored 38 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Ecology and 4 papers in Genetics. Recurrent topics in David Koslicki's work include Genomics and Phylogenetic Studies (19 papers), Gut microbiota and health (12 papers) and Gene expression and cancer classification (10 papers). David Koslicki is often cited by papers focused on Genomics and Phylogenetic Studies (19 papers), Gut microbiota and health (12 papers) and Gene expression and cancer classification (10 papers). David Koslicki collaborates with scholars based in United States, Finland and Netherlands. David Koslicki's co-authors include Simon Foucart, Serghei Mangul, Daniel Falush, Eleazar Eskin, Gail Rosen, Andreas Bremges, Fernando Meyer, Alice C. McHardy, Nathan LaPierre and Mohammed Alser and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

David Koslicki

36 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Koslicki United States 15 419 140 58 36 31 38 552
Yann Guermeur France 8 369 0.9× 86 0.6× 86 1.5× 48 1.3× 20 0.6× 17 640
Steffen Schober Germany 11 176 0.4× 45 0.3× 26 0.4× 59 1.6× 24 0.8× 30 273
Tareq B. Malas Netherlands 13 179 0.4× 91 0.7× 47 0.8× 77 2.1× 7 0.2× 18 488
Broňa Brejová Slovakia 16 504 1.2× 81 0.6× 104 1.8× 70 1.9× 7 0.2× 52 704
Georgina Stegmayer Argentina 18 411 1.0× 25 0.2× 143 2.5× 29 0.8× 19 0.6× 70 825
Yanchao Liu China 14 431 1.0× 27 0.2× 76 1.3× 21 0.6× 10 0.3× 36 753
Martin Stražar United States 12 492 1.2× 27 0.2× 40 0.7× 39 1.1× 5 0.2× 16 695
Meghana Kshirsagar United States 12 315 0.8× 38 0.3× 93 1.6× 32 0.9× 4 0.1× 25 594
Antoine Limasset France 8 294 0.7× 61 0.4× 100 1.7× 29 0.8× 3 0.1× 14 335
German Tischler United Kingdom 11 271 0.6× 41 0.3× 79 1.4× 96 2.7× 4 0.1× 21 486

Countries citing papers authored by David Koslicki

Since Specialization
Citations

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

Fields of papers citing papers by David Koslicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Koslicki

This figure shows the co-authorship network connecting the top 25 collaborators of David Koslicki. A scholar is included among the top collaborators of David Koslicki 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 David Koslicki. David Koslicki 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.
Kim, Min Soo, Fuhua Hao, David Koslicki, et al.. (2025). A designed synthetic microbiota provides insight to community function in Clostridioides difficile resistance. Cell Host & Microbe. 33(3). 373–387.e9. 9 indexed citations
2.
Custer, Gordon, et al.. (2025). Interplay of ecological processes modulates microbial community reassembly following coalescence. The ISME Journal. 19(1). 2 indexed citations
3.
Meyer, Fernando, et al.. (2025). CAMI Benchmarking Portal: online evaluation and ranking of metagenomic software. Nucleic Acids Research. 53(W1). W102–W109. 1 indexed citations
4.
Koslicki, David, et al.. (2024). YACHT : an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample. Bioinformatics. 40(2). 11 indexed citations
5.
Wei, Wei, Andrew A. Millward, & David Koslicki. (2023). Finding phylogeny-aware and biologically meaningful averages of metagenomic samples: L2UniFrac. Bioinformatics. 39(Supplement_1). i57–i65.
6.
Ma, Chunyu, Luis Mendoza, Shaopeng Liu, et al.. (2023). ARAX: a graph-based modular reasoning tool for translational biomedicine. Bioinformatics. 39(3). 3 indexed citations
7.
Pierce‐Ward, N. Tessa, et al.. (2023). Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash. Genome Research. 33(7). 1061–1068. 15 indexed citations
8.
9.
Harris, Robert S., et al.. (2022). The Statistics of k -mers from a Sequence Undergoing a Simple Mutation Process Without Spurious Matches. Journal of Computational Biology. 29(2). 155–168. 18 indexed citations
10.
Sarwal, Varuni, Jaqueline Brito, Serghei Mangul, & David Koslicki. (2022). TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles. GigaScience. 12. 1 indexed citations
11.
Ma, Chunyu, Yodsawalai Chodpathumwan, Jared C. Roach, et al.. (2022). RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. BMC Bioinformatics. 23(1). 400–400. 16 indexed citations
12.
Meyer, Fernando, David Koslicki, Adrian Fritz, et al.. (2021). Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit. Nature Protocols. 16(4). 1785–1801. 29 indexed citations
13.
LaPierre, Nathan, Mohammed Alser, Eleazar Eskin, David Koslicki, & Serghei Mangul. (2020). Metalign: efficient alignment-based metagenomic profiling via containment min hash. Genome biology. 21(1). 242–242. 35 indexed citations
14.
Martin, Lana S., et al.. (2020). Improving the usability and comprehensiveness of microbial databases. BMC Biology. 18(1). 37–37. 14 indexed citations
15.
Koslicki, David, et al.. (2019). Improving MinHash via the containment index with applications to metagenomic analysis. Applied Mathematics and Computation. 354. 206–215. 17 indexed citations
16.
Meyer, Fernando, Andreas Bremges, Peter Belmann, et al.. (2019). Assessing taxonomic metagenome profilers with OPAL. Genome biology. 20(1). 51–51. 52 indexed citations
17.
Megraw, Molly, et al.. (2017). IndeCut evaluates performance of network motif discovery algorithms. Bioinformatics. 34(9). 1514–1521. 5 indexed citations
18.
Koslicki, David & Daniel Falush. (2016). MetaPalette: a k -mer Painting Approach for Metagenomic Taxonomic Profiling and Quantification of Novel Strain Variation. mSystems. 1(3). 35 indexed citations
19.
Koslicki, David, Simon Foucart, & Gail Rosen. (2014). WGSQuikr: Fast Whole-Genome Shotgun Metagenomic Classification. PLoS ONE. 9(3). e91784–e91784. 26 indexed citations
20.
Koslicki, David & Daniel J. Thompson. (2011). Topological Pressure and Coding Sequence Density Estimation in the Human Genome. arXiv (Cornell University). 1 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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