Obaghe Edeghere
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 15
- Data-Driven Disease Surveillance 12
- Influenza Virus Research Studies 4
- Co-authors
- Iain Lake (8 shared papers)Beatriz de la Iglesia (5 shared papers)Gillian Smith (16 shared papers)Alex J. Elliot (16 shared papers)Roger Morbey (15 shared papers)Helen E. Hughes (7 shared papers)Peter M. Hawkey (4 shared papers)Dean Ironmonger (4 shared papers)
- Journals
- Epidemiology and Infection (7 papers)BMJ Open (3 papers)Journal of Public Health (3 papers)Journal of Antimicrobial Chemotherapy (3 papers)Public Health (2 papers)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Obaghe Edeghere
45 papers receiving 742 citations
Peers
Comparison fields: 5 of 109
- Endocrinology 75
- Modeling and Simulation 65
- Applied Microbiology and Biotechnology 25
- Molecular Medicine 39
- Epidemiology 214
Countries citing papers authored by Obaghe Edeghere
This map shows the geographic impact of Obaghe Edeghere'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 Obaghe Edeghere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Obaghe Edeghere more than expected).
Fields of papers citing papers by Obaghe Edeghere
This network shows the impact of papers produced by Obaghe Edeghere. 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 Obaghe Edeghere. The network helps show where Obaghe Edeghere may publish in the future.
Co-authors
The 25 scholars most cited alongside Obaghe Edeghere, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 107 | |
| 2 | 2016 | 90 | |
| 3 | 2020 | 51 | |
| 4 | 2011 | 45 | |
| 5 | 2015 | 35 | |
| 6 | 2013 | 34 | |
| 7 | 2019 | 34 | |
| 8 | 2018 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 2019 | 27 | |
| 11 | 2015 | 25 | |
| 12 | 2020 | 22 | |
| 13 | 2008 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2016 | 11 |
About Obaghe Edeghere
Obaghe Edeghere is a scholar working on Epidemiology, Artificial Intelligence, Modeling and Simulation, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 766 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (12 papers), COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (4 papers), Climate Change and Health Impacts (3 papers), Travel-related health issues (3 papers), Allergic Rhinitis and Sensitization (2 papers), COVID-19 Digital Contact Tracing (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Endocrinology (75 citations), Modeling and Simulation (65 citations), Applied Microbiology and Biotechnology (25 citations), Molecular Medicine (39 citations) and Epidemiology (214 citations). Obaghe Edeghere has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include Iain Lake, Beatriz de la Iglesia, Gillian Smith, Alex J. Elliot, Roger Morbey, Helen E. Hughes, Peter M. Hawkey, Dean Ironmonger, Paul Loveridge and Jeremy Hawker. Their work appears in journals such as Epidemiology and Infection, BMJ Open, Journal of Public Health, Journal of Antimicrobial Chemotherapy and 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.