David Danko
Impact in
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- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Bacteriophages and microbial interactions
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
Papers in
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- Genomics and Phylogenetic Studies 7
- Gut microbiota and health 7
- Machine Learning in Bioinformatics 2
- Ecology 5
- Microbial Community Ecology and Physiology 4
- Co-authors
- Christopher E. Mason (19 shared papers)Shawn Levy (2 shared papers)Rachid Ounit (3 shared papers)Ebrahim Afshinnekoo (3 shared papers)Jonathan Foox (2 shared papers)Scott Tighe (1 shared paper)Noah Alexander (1 shared paper)Nick Greenfield (1 shared paper)
- Journals
- Open Forum Infectious Diseases (4 papers)Frontiers in Microbiology (3 papers)Scientific Reports (2 papers)Microbiome (2 papers)Genome biology (2 papers)
- Partner nations
- United StatesIsraelSweden
In The Last Decade
David Danko
16 papers receiving 395 citations
Peers
Comparison fields: 5 of 94
- Ecology 116
- Molecular Biology 234
- Health, Toxicology and Mutagenesis 40
- Clinical Biochemistry 16
- Molecular Medicine 11
Countries citing papers authored by David Danko
This map shows the geographic impact of David Danko'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 Danko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Danko more than expected).
Fields of papers citing papers by David Danko
This network shows the impact of papers produced by David Danko. 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 Danko. The network helps show where David Danko may publish in the future.
Co-authors
The 25 scholars most cited alongside David Danko, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2021 | 44 | |
| 3 | 2020 | 35 | |
| 4 | 2015 | 34 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 4 | |
| 14 | Progress Towards Standardizing Metagenomics: Applying Metagenomic Reference Material to Develop Reproducible Microbial Lysis Methods with Minimum Bias | 2020 | 3 |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2020 | 0 |
About David Danko
David Danko is a scholar working on Molecular Biology, Ecology, Epidemiology, Clinical Biochemistry and Physiology, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Gut microbiota and health (7 papers), Microbial Community Ecology and Physiology (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Urinary Tract Infections Management (3 papers), Machine Learning in Bioinformatics (2 papers), Space Exploration and Technology (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Ecology (116 citations), Molecular Biology (234 citations), Health, Toxicology and Mutagenesis (40 citations), Clinical Biochemistry (16 citations) and Molecular Medicine (11 citations). David Danko has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Christopher E. Mason, Shawn Levy, Rachid Ounit, Ebrahim Afshinnekoo, Jonathan Foox, Scott Tighe, Noah Alexander, Nick Greenfield, Rita R. Colwell and Alexa B. R. McIntyre. Their work appears in journals such as Open Forum Infectious Diseases, Frontiers in Microbiology, Scientific Reports, Microbiome and Genome 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.