David Koslicki
Impact in
-
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 13
- Gut microbiota and health 8
- Gene expression and cancer classification 4
- Metabolomics and Mass Spectrometry Studies 3
- Fractal and DNA sequence analysis 3
- Biomedical Text Mining and Ontologies 3
- Ecology 8
- Microbial Community Ecology and Physiology 6
- Co-authors
- Simon Foucart (3 shared papers)Serghei Mangul (7 shared papers)Eleazar Eskin (5 shared papers)Daniel Falush (1 shared paper)Gail Rosen (2 shared papers)Fernando Meyer (4 shared papers)Alice C. McHardy (4 shared papers)Andreas Bremges (3 shared papers)
- Journals
- Bioinformatics (10 papers)Genome biology (2 papers)GigaScience (2 papers)PLoS ONE (2 papers)Journal of Computational Biology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
David Koslicki
37 papers receiving 578 citations
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 17
- Molecular Biology 375
- Acoustics and Ultrasonics 5
- Ecology 107
- Clinical Biochemistry 11
Countries citing papers authored by David Koslicki
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
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-authors
The 25 scholars most cited alongside David Koslicki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2019 | 52 | |
| 3 | 2014 | 42 | |
| 4 | 2011 | 41 | |
| 5 | 2020 | 37 | |
| 6 | 2016 | 35 | |
| 7 | 2021 | 29 | |
| 8 | 2013 | 26 | |
| 9 | 2014 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2022 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2025 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2022 | 8 |
About David Koslicki
David Koslicki is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Computational Theory and Mathematics, having authored 38 papers that have together received 589 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Gut microbiota and health (8 papers), Microbial Community Ecology and Physiology (6 papers), Gene expression and cancer classification (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Fractal and DNA sequence analysis (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Biological Psychiatry (17 citations), Molecular Biology (375 citations), Acoustics and Ultrasonics (5 citations), Ecology (107 citations) and Clinical Biochemistry (11 citations). David Koslicki has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Simon Foucart, Serghei Mangul, Eleazar Eskin, Daniel Falush, Gail Rosen, Fernando Meyer, Alice C. McHardy, Andreas Bremges, Nathan LaPierre and Mohammed Alser. Their work appears in journals such as Bioinformatics, Genome biology, GigaScience, PLoS ONE and Journal of Computational Biology.
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.