Celina Mfuko
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 1
-
- Vitamin C and Antioxidants Research 1
- Co-authors
- James W. McCready (1 shared paper)Paul Richard Roberts (1 shared paper)MARTIN D. LOWE (1 shared paper)Edward Rowland (1 shared paper)Anthony Chow (1 shared paper)G. André Ng (1 shared paper)ARTHUR M. YUE (1 shared paper)John Paisey (1 shared paper)
- Journals
- JAMA (4 papers)Science (2 papers)Wellcome Open Research (1 paper)The Lancet Microbe (1 paper)Nature (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Celina Mfuko
12 papers receiving 1.3k citations
Celina Mfuko's Hit Papers
Peers
Comparison fields: 5 of 67
- Infectious Diseases 974
- Internal Medicine 17
- Modeling and Simulation 22
- Immunology 53
- Cardiology and Cardiovascular Medicine 65
Countries citing papers authored by Celina Mfuko
This map shows the geographic impact of Celina Mfuko'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 Celina Mfuko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celina Mfuko more than expected).
Fields of papers citing papers by Celina Mfuko
This network shows the impact of papers produced by Celina Mfuko. 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 Celina Mfuko. The network helps show where Celina Mfuko may publish in the future.
Co-authors
The 11 scholars most cited alongside Celina Mfuko, 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 | Pre-existing polymerase-specific T cells expand in abortive seronegative SARS-CoV-2 Hit paper breakdown → | 2021 | 313 |
| 2 | Immune boosting by B.1.1.529 ( Omicron) depends on previous SARS-CoV-2 exposure Hit paper breakdown → | 2022 | 258 |
| 3 | 2021 | 255 | |
| 4 | 2022 | 105 | |
| 5 | 2022 | 100 | |
| 6 | 2021 | 72 | |
| 7 | 2021 | 48 | |
| 8 | 2023 | 46 | |
| 9 | 2014 | 39 | |
| 10 | 2023 | 34 | |
| 11 | 2020 | 18 | |
| 12 | 2022 | 9 |
About Celina Mfuko
Celina Mfuko is a scholar working on Infectious Diseases, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Infectious Diseases (974 citations), Internal Medicine (17 citations), Modeling and Simulation (22 citations), Immunology (53 citations) and Cardiology and Cardiovascular Medicine (65 citations). Celina Mfuko has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include James W. McCready, Paul Richard Roberts, MARTIN D. LOWE, Edward Rowland, Anthony Chow, G. André Ng, ARTHUR M. YUE, John Paisey, Pier David Lambiase and Syed Ahsan. Their work appears in journals such as JAMA, Science, Wellcome Open Research, The Lancet Microbe and Nature.
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.