David Danko
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial Identification and Susceptibility Testing 5
-
- Antibiotic Resistance in Bacteria 5
- Co-authors
- Christopher E. Mason (22 shared papers)Evan E. Afshin (5 shared papers)Rachid Ounit (3 shared papers)Shawn Levy (2 shared papers)Jonathan Foox (2 shared papers)Stefano Lonardi (1 shared paper)Scott W. Tighe (1 shared paper)Sofia Ahsanuddin (1 shared paper)
- Journals
- Open Forum Infectious Diseases (4 papers)Frontiers in Microbiology (3 papers)Microbiome (3 papers)Genome biology (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Danko
34 papers receiving 1.2k citations
David Danko's Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Medicine 112
- Applied Microbiology and Biotechnology 33
- Pollution 159
- Infectious Diseases 178
- Clinical Biochemistry 43
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global metagenomic map of urban microbiomes and antimicrobial resistance Hit paper breakdown → | 2021 | 268 |
| 2 | 2017 | 221 | |
| 3 | 2020 | 192 | |
| 4 | 2021 | 128 | |
| 5 | 2021 | 52 | |
| 6 | 2020 | 43 | |
| 7 | 2015 | 41 | |
| 8 | 2023 | 36 | |
| 9 | 2022 | 34 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 16 | |
| 13 | 2018 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 8 |
About David Danko
David Danko is a scholar working on Clinical Biochemistry, Molecular Medicine, Ecology, Molecular Biology and Infectious Diseases, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (5 papers), Urinary Tract Infections Management (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Space Science and Extraterrestrial Life (2 papers). The work is most often cited by research in Molecular Medicine (112 citations), Applied Microbiology and Biotechnology (33 citations), Pollution (159 citations), Infectious Diseases (178 citations) and Clinical Biochemistry (43 citations). David Danko has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christopher E. Mason, Evan E. Afshin, Rachid Ounit, Shawn Levy, Jonathan Foox, Stefano Lonardi, Scott W. Tighe, Sofia Ahsanuddin, Samuel S. Minot and Poorani Subramanian. Their work appears in journals such as Open Forum Infectious Diseases, Frontiers in Microbiology, Microbiome, Genome biology and Scientific Reports.
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.