Martin Nyaaba Adokiya
- Health top 5%
- Vaccine Coverage and Hesitancy 11
- Modeling and Simulation top 5%
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research 5
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- Global Maternal and Child Health 18
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- Child Nutrition and Water Access 7
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- Iron Metabolism and Disorders 5
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- Pesticide Exposure and Toxicity 4
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- Environmental Toxicology and Ecotoxicology 4
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- Pregnancy and preeclampsia studies 3
- Co-authors
- John Koku Awoonor‐WilliamsClaudia BeiersmannOlaf MüllerMichael BoahOlaf MuellerJuventus B. ZiemWilliams WalanaVolker Winkler
- Partner nations
- GhanaBeninUnited States
In The Last Decade
Martin Nyaaba Adokiya
37 papers receiving 402 citations
Peers
Comparison fields: 5 of 77
- Health 183
- Modeling and Simulation 70
- Infectious Diseases 140
- Pediatrics, Perinatology and Child Health 94
- Epidemiology 150
Countries citing papers authored by Martin Nyaaba Adokiya
This map shows the geographic impact of Martin Nyaaba Adokiya'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 Martin Nyaaba Adokiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Nyaaba Adokiya more than expected).
Fields of papers citing papers by Martin Nyaaba Adokiya
This network shows the impact of papers produced by Martin Nyaaba Adokiya. 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 Martin Nyaaba Adokiya. The network helps show where Martin Nyaaba Adokiya may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Martin Nyaaba Adokiya, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 23 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 8 | |
| 20 | 2017 | 61 |
About Martin Nyaaba Adokiya
Martin Nyaaba Adokiya is a scholar working on Health, Pediatrics, Perinatology and Child Health and Modeling and Simulation, having authored 43 papers that have together received 413 indexed citations. Recurring topics across this work include Global Maternal and Child Health (18 papers), Vaccine Coverage and Hesitancy (11 papers), Child Nutrition and Water Access (7 papers), Viral Infections and Outbreaks Research (5 papers), Iron Metabolism and Disorders (5 papers), Pesticide Exposure and Toxicity (4 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Health (183 citations), Modeling and Simulation (70 citations) and Infectious Diseases (140 citations). Martin Nyaaba Adokiya has collaborated with scholars based in Ghana, Benin and United States. Frequent co-authors include John Koku Awoonor‐Williams, Claudia Beiersmann, Olaf Müller, Michael Boah, Olaf Mueller, Juventus B. Ziem, Williams Walana, Volker Winkler, Oliver Razum and Albrecht Jahn. Their work appears in journals such as PLoS ONE, BMC Health Services Research, BMJ Open, BMC Public Health and Archives of Public Health.
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.