Danny Ko

755 total citations
8 papers, 319 citations indexed

About

Danny Ko is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Infectious Diseases. According to data from OpenAlex, Danny Ko has authored 8 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Danny Ko's work include Streptococcal Infections and Treatments (5 papers), Neonatal and Maternal Infections (5 papers) and Pneumonia and Respiratory Infections (3 papers). Danny Ko is often cited by papers focused on Streptococcal Infections and Treatments (5 papers), Neonatal and Maternal Infections (5 papers) and Pneumonia and Respiratory Infections (3 papers). Danny Ko collaborates with scholars based in Australia, Denmark and United Kingdom. Danny Ko's co-authors include Gwendolyn L. Gilbert, Fanrong Kong, Naraid Suanyuk, K. Supamattaya, Lotte Lambertsen, Hans‐Christian Slotved, Vitali Sintchenko, Sharon C.‐A. Chen, Kerri Basile and Matthew O’Sullivan and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Aquaculture.

In The Last Decade

Danny Ko

8 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danny Ko Australia 7 131 127 95 58 46 8 319
James G. Kane United States 7 82 0.6× 158 1.2× 81 0.9× 113 1.9× 13 0.3× 10 394
Euijin Chang South Korea 9 10 0.1× 32 0.3× 149 1.6× 53 0.9× 3 0.1× 53 251
Chunmao Zhang China 11 73 0.6× 51 0.4× 100 1.1× 105 1.8× 2 0.0× 25 300
Duy Tien Vietnam 10 57 0.4× 60 0.5× 139 1.5× 23 0.4× 8 0.2× 35 318
R. Théodose Martinique 8 53 0.4× 46 0.4× 71 0.7× 21 0.4× 3 0.1× 11 317
Elisabeth F. Hansen Norway 10 12 0.1× 99 0.8× 187 2.0× 40 0.7× 9 0.2× 12 332
Joanna Kaim Sweden 8 10 0.1× 89 0.7× 133 1.4× 63 1.1× 4 0.1× 10 312
Christina Pantoja United States 5 51 0.4× 240 1.9× 9 0.1× 35 0.6× 82 1.8× 10 424
H Champsaur France 6 7 0.1× 64 0.5× 123 1.3× 67 1.2× 5 0.1× 15 237
Fousseyni S. Touré Gabon 13 224 1.7× 59 0.5× 128 1.3× 34 0.6× 20 374

Countries citing papers authored by Danny Ko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danny Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Ko. A scholar is included among the top collaborators of Danny Ko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danny Ko. Danny Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Hueston, Linda, Dominic E. Dwyer, Jen Kok, et al.. (2024). Characterizing the acute antibody response of monkeypox and MVA‐BN vaccine following an Australian outbreak. Journal of Medical Virology. 96(1). e29407–e29407. 3 indexed citations
2.
Basile, Kerri, Rebecca J. Rockett, Kenneth McPhie, et al.. (2022). Improved Neutralisation of the SARS-CoV-2 Omicron Variant following a Booster Dose of Pfizer-BioNTech (BNT162b2) COVID-19 Vaccine. Viruses. 14(9). 2023–2023. 21 indexed citations
3.
Basile, Kerri, Kenneth McPhie, Ian Carter, et al.. (2020). Cell-based Culture Informs Infectivity and Safe De-Isolation Assessments in Patients with Coronavirus Disease 2019. Clinical Infectious Diseases. 73(9). e2952–e2959. 74 indexed citations
4.
Ko, Danny, et al.. (2015). Group B streptococcal disease and genotypes in Australian infants. Journal of Paediatrics and Child Health. 51(8). 808–814. 13 indexed citations
5.
Radtke, Andreas, et al.. (2009). Identification of surface proteins of group B streptococci: Serotyping versus genotyping. Journal of Microbiological Methods. 78(3). 363–365. 7 indexed citations
6.
Honsa, Erin S., Thomas Fricke, Alex J. Stephens, et al.. (2008). Assignment of Streptococcus agalactiae isolates to clonal complexes using a small set of single nucleotide polymorphisms. BMC Microbiology. 8(1). 140–140. 16 indexed citations
7.
Suanyuk, Naraid, Fanrong Kong, Danny Ko, Gwendolyn L. Gilbert, & K. Supamattaya. (2008). Occurrence of rare genotypes of Streptococcus agalactiae in cultured red tilapia Oreochromis sp. and Nile tilapia O. niloticus in Thailand—Relationship to human isolates?. Aquaculture. 284(1-4). 35–40. 151 indexed citations
8.
Kong, Fanrong, et al.. (2008). Use of Phenotypic and Molecular Serotype Identification Methods To Characterize Previously Nonserotypeable Group B Streptococci. Journal of Clinical Microbiology. 46(8). 2745–2750. 34 indexed citations

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.

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