Daisy Mugo
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
- Epidemiology top 10%
- Pneumonia and Respiratory Infections
- Respiratory viral infections research
- Mycobacterium research and diagnosis
- Influenza Virus Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Tuberculosis Research and Epidemiology 2
- SARS-CoV-2 detection and testing 2
-
- Pneumonia and Respiratory Infections 4
- Mycobacterium research and diagnosis 2
- Co-authors
- J. Anthony G. Scott (7 shared papers)Robert Musyimi (5 shared papers)Caroline Tigoi (3 shared papers)Osman Abdullahi (3 shared papers)Angela Karani (3 shared papers)Marc Lipsitch (2 shared papers)Andrew Brent (2 shared papers)Susan C. Morpeth (2 shared papers)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Scientific Reports (1 paper)Journal of Clinical Microbiology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- KenyaUnited KingdomUnited States
In The Last Decade
Daisy Mugo
10 papers receiving 311 citations
Peers
Comparison fields: 5 of 46
- Microbiology 50
- Epidemiology 235
- Infectious Diseases 79
- Microbiology 2
- Modeling and Simulation 9
Countries citing papers authored by Daisy Mugo
This map shows the geographic impact of Daisy Mugo'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 Mugo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisy Mugo more than expected).
Fields of papers citing papers by Daisy Mugo
This network shows the impact of papers produced by Daisy Mugo. 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 Mugo. The network helps show where Daisy Mugo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisy Mugo, 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 | 2012 | 91 | |
| 2 | 2012 | 74 | |
| 3 | 2012 | 53 | |
| 4 | 2011 | 41 | |
| 5 | 2023 | 15 | |
| 6 | 2017 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 5 |
About Daisy Mugo
Daisy Mugo is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Modeling and Simulation, having authored 10 papers that have together received 316 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), SARS-CoV-2 detection and testing (2 papers), Mycobacterium research and diagnosis (2 papers), Biosensors and Analytical Detection (1 paper), Diagnosis and treatment of tuberculosis (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Microbiology (50 citations), Epidemiology (235 citations), Infectious Diseases (79 citations), Microbiology (2 citations) and Modeling and Simulation (9 citations). Daisy Mugo has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include J. Anthony G. Scott, Robert Musyimi, Caroline Tigoi, Osman Abdullahi, Angela Karani, Marc Lipsitch, Andrew Brent, Susan C. Morpeth, Michael Levin and Hellen Gatakaa. Their work appears in journals such as PLoS ONE, Nature Communications, Scientific Reports, Journal of Clinical Microbiology and International Journal of Infectious 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.