Victor Daka
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 18
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- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Steward Mudenda (52 shared papers)Ruth Lindizyani Mfune (37 shared papers)Scott Kaba Matafwali (26 shared papers)Webrod Mufwambi (25 shared papers)Billy Chabalenge (24 shared papers)Maisa Kasanga (26 shared papers)Moses Mukosha (18 shared papers)Michelo Banda (9 shared papers)
- Journals
- PLoS ONE (3 papers)African Journal of Laboratory Medicine (2 papers)BMJ Open (2 papers)Vaccines (2 papers)Antibiotics (2 papers)
- Partner nations
- ZambiaUnited KingdomChina
In The Last Decade
Victor Daka
73 papers receiving 633 citations
Peers
Comparison fields: 5 of 82
- Applied Microbiology and Biotechnology 247
- Molecular Medicine 115
- Geriatrics and Gerontology 41
- Health 95
- Modeling and Simulation 38
Countries citing papers authored by Victor Daka
This map shows the geographic impact of Victor Daka'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 Victor Daka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Daka more than expected).
Fields of papers citing papers by Victor Daka
This network shows the impact of papers produced by Victor Daka. 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 Victor Daka. The network helps show where Victor Daka may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor Daka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2022 | 34 | |
| 3 | 2022 | 33 | |
| 4 | 2022 | 31 | |
| 5 | 2019 | 28 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2024 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2024 | 13 | |
| 20 | 2013 | 12 |
About Victor Daka
Victor Daka is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Health, Clinical Psychology and Epidemiology, having authored 79 papers that have together received 671 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (18 papers), Vaccine Coverage and Hesitancy (15 papers), COVID-19 and Mental Health (10 papers), Antibiotic Resistance in Bacteria (7 papers), COVID-19 epidemiological studies (6 papers), Global Maternal and Child Health (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (247 citations), Molecular Medicine (115 citations), Geriatrics and Gerontology (41 citations), Health (95 citations) and Modeling and Simulation (38 citations). Victor Daka has collaborated with scholars based in Zambia, United Kingdom and China. Frequent co-authors include Steward Mudenda, Ruth Lindizyani Mfune, Scott Kaba Matafwali, Webrod Mufwambi, Billy Chabalenge, Maisa Kasanga, Moses Mukosha, Michelo Banda, Christabel Nang’andu Hikaambo and Brian Godman. Their work appears in journals such as PLoS ONE, African Journal of Laboratory Medicine, BMJ Open, Vaccines and Antibiotics.
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.