Innocent Maposa
Impact in
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- HIV/AIDS Research and Interventions
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in ⓘ
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- COVID-19 epidemiological studies 5
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- HIV/AIDS Research and Interventions 7
- Co-authors
- Oliver Johnson (1 shared paper)Lesley Robertson (1 shared paper)Lisa K. Micklesfield (4 shared papers)Lisa J. Ware (6 shared papers)Ans Baeyens (1 shared paper)Shane A. Norris (4 shared papers)Paul Kowal (2 shared papers)Rooyen T Mavenyengwa (2 shared papers)
- Journals
- BMC Public Health (5 papers)PLoS ONE (4 papers)BMJ Open (3 papers)BMC Women s Health (2 papers)Scientific Reports (1 paper)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Innocent Maposa
45 papers receiving 368 citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 110
- Modeling and Simulation 24
- Health 32
- Clinical Psychology 66
- General Health Professions 73
Countries citing papers authored by Innocent Maposa
This map shows the geographic impact of Innocent Maposa'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 Innocent Maposa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Innocent Maposa more than expected).
Fields of papers citing papers by Innocent Maposa
This network shows the impact of papers produced by Innocent Maposa. 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 Innocent Maposa. The network helps show where Innocent Maposa may publish in the future.
Co-authors
The 25 scholars most cited alongside Innocent Maposa, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2021 | 27 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 6 |
About Innocent Maposa
Innocent Maposa is a scholar working on Modeling and Simulation, Infectious Diseases, Health, Speech and Hearing and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 376 indexed citations. Recurring topics across this work include Adolescent Sexual and Reproductive Health (8 papers), HIV/AIDS Research and Interventions (7 papers), HIV/AIDS Impact and Responses (5 papers), COVID-19 epidemiological studies (5 papers), Chronic Disease Management Strategies (4 papers), Diabetes Management and Education (3 papers), Birth, Development, and Health (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Infectious Diseases (110 citations), Modeling and Simulation (24 citations), Health (32 citations), Clinical Psychology (66 citations) and General Health Professions (73 citations). Innocent Maposa has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Oliver Johnson, Lesley Robertson, Lisa K. Micklesfield, Lisa J. Ware, Ans Baeyens, Shane A. Norris, Paul Kowal, Rooyen T Mavenyengwa, Kathryn Risher and Sanushka Naidoo. Their work appears in journals such as BMC Public Health, PLoS ONE, BMJ Open, BMC Women s Health and Scientific Reports.
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.