Danny Ko
Impact in
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
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- Aquaculture disease management and microbiota
Papers in
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- Neonatal and Maternal Infections 5
- Streptococcal Infections and Treatments 3
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- Pneumonia and Respiratory Infections 2
- Herpesvirus Infections and Treatments 1
- Co-authors
- Gwendolyn L. Gilbert (5 shared papers)Fanrong Kong (4 shared papers)Naraid Suanyuk (1 shared paper)K. Supamattaya (1 shared paper)Dominic E. Dwyer (3 shared papers)Lotte Lambertsen (1 shared paper)Hans‐Christian Slotved (1 shared paper)Jen Kok (3 shared papers)
- Journals
- Journal of Microbiological Methods (1 paper)Clinical Infectious Diseases (1 paper)Journal of Clinical Microbiology (1 paper)BMC Microbiology (1 paper)Aquaculture (1 paper)
- Partner nations
- AustraliaUnited KingdomNorway
In The Last Decade
Danny Ko
8 papers receiving 315 citations
Peers
Comparison fields: 5 of 56
- Aquatic Science 46
- Immunology 125
- Public Health, Environmental and Occupational Health 131
- Infectious Diseases 83
- Microbiology 21
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 | 153 | |
| 2 | 2020 | 76 | |
| 3 | 2008 | 35 | |
| 4 | 2022 | 21 | |
| 5 | 2008 | 17 | |
| 6 | 2015 | 14 | |
| 7 | 2009 | 7 | |
| 8 | 2024 | 4 |
About Danny Ko
Danny Ko is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology, Infectious Diseases and Virology, having authored 8 papers that have together received 327 indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (5 papers), Streptococcal Infections and Treatments (3 papers), Pneumonia and Respiratory Infections (2 papers), Bacillus and Francisella bacterial research (2 papers), COVID-19 Clinical Research Studies (1 paper), Poxvirus research and outbreaks (1 paper), Herpesvirus Infections and Treatments (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Aquatic Science (46 citations), Immunology (125 citations), Public Health, Environmental and Occupational Health (131 citations), Infectious Diseases (83 citations) and Microbiology (21 citations). Danny Ko has collaborated with scholars based in Australia, United Kingdom and Norway. Frequent co-authors include Gwendolyn L. Gilbert, Fanrong Kong, Naraid Suanyuk, K. Supamattaya, Dominic E. Dwyer, Lotte Lambertsen, Hans‐Christian Slotved, Jen Kok, Matthew O’Sullivan and Vitali Sintchenko. Their work appears in journals such as Journal of Microbiological Methods, Clinical Infectious Diseases, Journal of Clinical Microbiology, BMC Microbiology and Aquaculture.
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.