Daniel Mutithu
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Otolaryngology and Infectious Diseases
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- Streptococcal Infections and Treatments
Papers in
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- Cardiac Valve Diseases and Treatments 4
- Cardiac electrophysiology and arrhythmias 1
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- Infective Endocarditis Diagnosis and Management 4
- Co-authors
- Karen Sliwa (2 shared papers)Ntobeko Ntusi (6 shared papers)Olukayode O. Aremu (5 shared papers)Liesl Zühlke (1 shared paper)Babu Muhamed (1 shared paper)Blanche Cupido (1 shared paper)Sebastian Skatulla (4 shared papers)Henry A. Adeola (2 shared papers)
- Journals
- International Journal of Cardiology (2 papers)Mathematical and Computational Applications (1 paper)Scientific Reports (1 paper)Clinical Research in Cardiology (1 paper)Reviews in Cardiovascular Medicine (1 paper)
- Partner nations
- South AfricaGermanyCameroon
In The Last Decade
Daniel Mutithu
4 papers receiving 30 citations
Peers
Comparison fields: 5 of 24
- Infectious Diseases 12
- Public Health, Environmental and Occupational Health 14
- Family Practice 1
- Modeling and Simulation 2
- Health Information Management 2
Countries citing papers authored by Daniel Mutithu
This map shows the geographic impact of Daniel Mutithu'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 Daniel Mutithu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mutithu more than expected).
Fields of papers citing papers by Daniel Mutithu
This network shows the impact of papers produced by Daniel Mutithu. 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 Daniel Mutithu. The network helps show where Daniel Mutithu may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Mutithu, 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 | 2019 | 12 | |
| 2 | 2020 | 11 | |
| 3 | 2020 | 6 | |
| 4 | 2022 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2025 | 0 |
About Daniel Mutithu
Daniel Mutithu is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology, having authored 7 papers that have together received 30 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Streptococcal Infections and Treatments (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Long-Term Effects of COVID-19 (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (12 citations), Public Health, Environmental and Occupational Health (14 citations), Family Practice (1 citation), Modeling and Simulation (2 citations) and Health Information Management (2 citations). Daniel Mutithu has collaborated with scholars based in South Africa, Germany and Cameroon. Frequent co-authors include Karen Sliwa, Ntobeko Ntusi, Olukayode O. Aremu, Liesl Zühlke, Babu Muhamed, Blanche Cupido, Sebastian Skatulla, Henry A. Adeola, Lubbe Wiesner and Richard Naidoo. Their work appears in journals such as International Journal of Cardiology, Mathematical and Computational Applications, Scientific Reports, Clinical Research in Cardiology and Reviews in Cardiovascular Medicine.
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.