Eric Adua
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Birth, Development, and Health 6
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- Wei Wang (17 shared papers)Peter Roberts (10 shared papers)Enoch Odame Anto (26 shared papers)Alyce Russell (5 shared papers)Kwasi Frimpong (3 shared papers)Emmanuel Acheampong (19 shared papers)Esther Adama (3 shared papers)Wei Wang (1 shared paper)
In The Last Decade
Eric Adua
40 papers receiving 597 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 20
- Health Information Management 44
- Pediatrics, Perinatology and Child Health 143
- Obstetrics and Gynecology 55
- Cardiology and Cardiovascular Medicine 120
Countries citing papers authored by Eric Adua
This map shows the geographic impact of Eric Adua'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 Eric Adua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Adua more than expected).
Fields of papers citing papers by Eric Adua
This network shows the impact of papers produced by Eric Adua. 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 Eric Adua. The network helps show where Eric Adua may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Adua, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 2017 | 57 | |
| 3 | 2021 | 57 | |
| 4 | 2020 | 38 | |
| 5 | 2017 | 34 | |
| 6 | 2018 | 32 | |
| 7 | 2017 | 32 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 24 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2022 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 9 |
About Eric Adua
Eric Adua is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 42 papers that have together received 608 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Birth, Development, and Health (6 papers), Glycosylation and Glycoproteins Research (6 papers), Diabetes and associated disorders (5 papers), Cardiovascular Health and Risk Factors (5 papers), Artificial Intelligence in Healthcare (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Health Informatics (20 citations), Health Information Management (44 citations), Pediatrics, Perinatology and Child Health (143 citations), Obstetrics and Gynecology (55 citations) and Cardiology and Cardiovascular Medicine (120 citations). Eric Adua has collaborated with scholars based in Australia, Ghana and China. Frequent co-authors include Wei Wang, Peter Roberts, Enoch Odame Anto, Alyce Russell, Kwasi Frimpong, Emmanuel Acheampong, Esther Adama, Wei Wang, Xia Li and Christian Obirikorang. Their work appears in journals such as Australasian Journal of Paramedicine, The EPMA Journal, PLoS ONE, OMICS A Journal of Integrative Biology 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.