Benson Ogunjimi
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Parasitology top 5%
- Bartonella species infections research
Papers in
- Epidemiology 33
- Herpesvirus Infections and Treatments 23
- Cytomegalovirus and herpesvirus research 10
- Immunology 30
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 13
- Immune Cell Function and Interaction 7
- Co-authors
- Philippe Beutels (31 shared papers)Pierre Van Damme (24 shared papers)Niel Hens (21 shared papers)Kris Laukens (22 shared papers)Pieter Meysman (22 shared papers)Nicolas De Neuter (9 shared papers)Sofie Gielis (7 shared papers)Pieter Moris (4 shared papers)
In The Last Decade
Benson Ogunjimi
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 116
- Parasitology 163
- Virology 91
- Immunology 333
- Epidemiology 521
Countries citing papers authored by Benson Ogunjimi
This map shows the geographic impact of Benson Ogunjimi'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 Benson Ogunjimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benson Ogunjimi more than expected).
Fields of papers citing papers by Benson Ogunjimi
This network shows the impact of papers produced by Benson Ogunjimi. 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 Benson Ogunjimi. The network helps show where Benson Ogunjimi may publish in the future.
Co-authors
The 25 scholars most cited alongside Benson Ogunjimi, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 118 | |
| 2 | 2020 | 97 | |
| 3 | 2009 | 85 | |
| 4 | 2013 | 84 | |
| 5 | 2009 | 62 | |
| 6 | 2012 | 53 | |
| 7 | 2012 | 51 | |
| 8 | 2017 | 50 | |
| 9 | 2016 | 44 | |
| 10 | 2018 | 42 | |
| 11 | 2011 | 33 | |
| 12 | 2022 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2017 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2015 | 26 | |
| 17 | 2011 | 22 | |
| 18 | 2013 | 21 | |
| 19 | 2011 | 20 | |
| 20 | 2014 | 16 |
About Benson Ogunjimi
Benson Ogunjimi is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Hepatology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (23 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (13 papers), vaccines and immunoinformatics approaches (13 papers), Cytomegalovirus and herpesvirus research (10 papers), Immune Cell Function and Interaction (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Modeling and Simulation (116 citations), Parasitology (163 citations), Virology (91 citations), Immunology (333 citations) and Epidemiology (521 citations). Benson Ogunjimi has collaborated with scholars based in Belgium, Uganda and Australia. Frequent co-authors include Philippe Beutels, Pierre Van Damme, Niel Hens, Kris Laukens, Pieter Meysman, Nicolas De Neuter, Sofie Gielis, Pieter Moris, Wout Bittremieux and Viggo Van Tendeloo. Their work appears in journals such as Vaccine, Frontiers in Immunology, Immunogenetics, Viruses and The Journal of Infectious Diseases.
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.