Effua Usuf
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Bacterial Infections and Vaccines 9
-
- COVID-19 epidemiological studies 3
- Co-authors
- Anna RocaRichard A. AdegbolaPhilip C. HillChristian BottomleyBrian GreenwoodRodrigo DeAntonioBernard HoetMartín Antonio
- Journals
- Clinical Infectious Diseases (8 papers)Vaccine (3 papers)BMJ Global Health (2 papers)International Journal of Infectious Diseases (2 papers)The Lancet Global Health (2 papers)
- Partner nations
- GambiaUnited KingdomNew Zealand
In The Last Decade
Effua Usuf
28 papers receiving 607 citations
Peers
Comparison fields: 5 of 85
- Microbiology 142
- Modeling and Simulation 92
- Epidemiology 380
- Health 70
- Infectious Diseases 111
Countries citing papers authored by Effua Usuf
This map shows the geographic impact of Effua Usuf'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 Effua Usuf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Effua Usuf more than expected).
Fields of papers citing papers by Effua Usuf
This network shows the impact of papers produced by Effua Usuf. 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 Effua Usuf. The network helps show where Effua Usuf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Effua Usuf, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 7 | |
| 6 | 2020 | 123 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 25 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 20 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 18 | |
| 17 | 2014 | 145 | |
| 18 | 2014 | 20 | |
| 19 | 2014 | 53 | |
| 20 | 2010 | 1 |
About Effua Usuf
Effua Usuf is a scholar working on Microbiology, Modeling and Simulation, Epidemiology, Applied Microbiology and Biotechnology and Health, having authored 30 papers that have together received 612 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (20 papers), Respiratory viral infections research (15 papers), Bacterial Infections and Vaccines (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Global Maternal and Child Health (4 papers), Vaccine Coverage and Hesitancy (4 papers), COVID-19 epidemiological studies (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Microbiology (142 citations), Modeling and Simulation (92 citations), Epidemiology (380 citations), Health (70 citations) and Infectious Diseases (111 citations). Effua Usuf has collaborated with scholars based in Gambia, United Kingdom and New Zealand. Frequent co-authors include Anna Roca, Richard A. Adegbola, Philip C. Hill, Christian Bottomley, Brian Greenwood, Rodrigo DeAntonio, Bernard Hoet, Martín Antonio, Umberto D’Alessandro and Grant Mackenzie. Their work appears in journals such as Clinical Infectious Diseases, Vaccine, BMJ Global Health, International Journal of Infectious Diseases and The Lancet Global 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.