Danny Ko
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
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- Aquaculture disease management and microbiota
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 1
- COVID-19 Clinical Research Studies 1
-
- Neonatal and Maternal Infections 4
- Co-authors
- Gwendolyn L. Gilbert (5 shared papers)Fanrong Kong (4 shared papers)Naraid Suanyuk (1 shared paper)KIDCHAKAN SUPAMATTAYA (1 shared paper)Vitali Sintchenko (2 shared papers)Matthew V. N. O'Sullivan (3 shared papers)Susan Maddocks (2 shared papers)Jen Kok (4 shared papers)
- Journals
- BMC Microbiology (1 paper)Transplantation (1 paper)Clinical Infectious Diseases (1 paper)Nature Communications (1 paper)Journal of Microbiological Methods (1 paper)
- Partner nations
- AustraliaNew ZealandNorway
In The Last Decade
Danny Ko
10 papers receiving 533 citations
Peers
Comparison fields: 5 of 46
- Infectious Diseases 265
- Immunology 143
- Modeling and Simulation 23
- Public Health, Environmental and Occupational Health 81
- Virology 7
Countries citing papers authored by Danny Ko
This map shows the geographic impact of Danny Ko'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 Danny Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Ko more than expected).
Fields of papers citing papers by Danny Ko
This network shows the impact of papers produced by Danny Ko. 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 Danny Ko. The network helps show where Danny Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 157 | |
| 2 | 2020 | 114 | |
| 3 | 2020 | 102 | |
| 4 | 2022 | 70 | |
| 5 | 2008 | 36 | |
| 6 | 2022 | 23 | |
| 7 | 2008 | 17 | |
| 8 | 2015 | 16 | |
| 9 | 2009 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 0 |
About Danny Ko
Danny Ko is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Transplantation, Virology and Immunology, having authored 11 papers that have together received 548 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Neonatal and Maternal Infections (4 papers), SARS-CoV-2 detection and testing (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Poxvirus research and outbreaks (1 paper), Aquaculture disease management and microbiota (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (265 citations), Immunology (143 citations), Modeling and Simulation (23 citations), Public Health, Environmental and Occupational Health (81 citations) and Virology (7 citations). Danny Ko has collaborated with scholars based in Australia, New Zealand and Norway. Frequent co-authors include Gwendolyn L. Gilbert, Fanrong Kong, Naraid Suanyuk, KIDCHAKAN SUPAMATTAYA, Vitali Sintchenko, Matthew V. N. O'Sullivan, Susan Maddocks, Jen Kok, Dominic Edmund Dwyer and Kenneth A McPhie. Their work appears in journals such as BMC Microbiology, Transplantation, Clinical Infectious Diseases, Nature Communications and Journal of Microbiological Methods.
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.