Daisy Ko

906 citations
17 papers · 643 · h-index 9

Impact in

Papers in

    • HIV/AIDS drug development and treatment 5
    • SARS-CoV-2 detection and testing 2
    • Antifungal resistance and susceptibility 2
    • HIV/AIDS Research and Interventions 2

Daisy Ko

15 papers receiving 624 citations

Peers

Daisy Ko
Comparison fields: 5 of 70
  • Microbiology 166
  • Infectious Diseases 254
  • Epidemiology 237
  • Virology 34
  • Cell Biology 81
Replace David C. Ritterband with:
David C. Ritterband United States
Salvatore Papasergi Italy
I Maciver United States
Frédérique Vernel-Pauillac France
Rudolph H. Johnson United States
Giancarlo Basaglia Italy
Dennis O. Gor United States
Elisabeth Lampe Brazil
Andreas Berge Sweden
Wayne Russell United Kingdom
Daisy Ko relative to David C. Ritterband United States David C. Ritterband's profile →
Citations per field
00.5×2×4×5.2×
David C. Ritterband · 1×
Citations per year

Countries citing papers authored by Daisy Ko

Since Specialization
Citations

This map shows the geographic impact of Daisy 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 Daisy Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisy Ko more than expected).

Fields of papers citing papers by Daisy Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisy 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 Daisy Ko. The network helps show where Daisy Ko may publish in the future.

Co-authors

The 25 scholars most cited alongside Daisy Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisy Ko Line = papers co-authored together Daisy Ko links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017141
2 2008118
3 201294
4 200993
5 201181
6 202029
7 201224
8 202024
9 202118
10 20218
11 20165
12 19973
13 20223
14 20221
15 20241
16 20220
17 20240

About Daisy Ko

Daisy Ko is a scholar working on Infectious Diseases, Molecular Biology, Virology, Epidemiology and Rheumatology, having authored 17 papers that have together received 643 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (4 papers), Plant Pathogens and Fungal Diseases (2 papers), SARS-CoV-2 detection and testing (2 papers), Antifungal resistance and susceptibility (2 papers), HIV/AIDS Research and Interventions (2 papers), Reproductive tract infections research (2 papers) and Ophthalmology and Visual Impairment Studies (1 paper). The work is most often cited by research in Microbiology (166 citations), Infectious Diseases (254 citations), Epidemiology (237 citations), Virology (34 citations) and Cell Biology (81 citations). Daisy Ko has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include David N. Fredricks, Prasanna D. Khot, Robert C. Hackman, Sujatha Srinivasan, Tina L. Fiedler, Volker Rickerts, Congzhou Liu, E. Lambrecht, David Myerson and Hu Xie. Their work appears in journals such as Clinical Infectious Diseases, BMC Infectious Diseases, Medical Mycology, JAIDS Journal of Acquired Immune Deficiency Syndromes and Sexually Transmitted Diseases.

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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