Clement Meseko
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 64
- Influenza Virus Research Studies 45
- Virology and Viral Diseases 15
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- Viral Infections and Vectors 32
- Viral gastroenteritis research and epidemiology 20
- Co-authors
- Tony Joannis (20 shared papers)Binod Kumar (4 shared papers)Kumari Asha (3 shared papers)Melvin Sanicas (3 shared papers)Ismaila Shittu (28 shared papers)David O. Olaleye (4 shared papers)Georgina N. Odaibo (3 shared papers)Madhu Khanna (2 shared papers)
In The Last Decade
Clement Meseko
86 papers receiving 912 citations
Peers
Comparison fields: 5 of 107
- Agronomy and Crop Science 380
- Infectious Diseases 420
- Epidemiology 557
- Animal Science and Zoology 128
- Modeling and Simulation 51
Countries citing papers authored by Clement Meseko
This map shows the geographic impact of Clement Meseko'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 Clement Meseko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clement Meseko more than expected).
Fields of papers citing papers by Clement Meseko
This network shows the impact of papers produced by Clement Meseko. 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 Clement Meseko. The network helps show where Clement Meseko may publish in the future.
Co-authors
The 25 scholars most cited alongside Clement Meseko, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2018 | 64 | |
| 3 | 2009 | 47 | |
| 4 | 2018 | 41 | |
| 5 | 2008 | 39 | |
| 6 | 2018 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2021 | 31 | |
| 9 | 2013 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2007 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2023 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2021 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2020 | 18 | |
| 20 | Effect of intervention on the control of Highly Pathogenic Avian Influenza in Nigeria. | 2012 | 17 |
About Clement Meseko
Clement Meseko is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 104 papers that have together received 960 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (45 papers), Animal Disease Management and Epidemiology (44 papers), Viral Infections and Vectors (32 papers), Viral gastroenteritis research and epidemiology (20 papers), Zoonotic diseases and public health (15 papers), Virology and Viral Diseases (15 papers), Animal Virus Infections Studies (15 papers) and COVID-19 epidemiological studies (10 papers). The work is most often cited by research in Agronomy and Crop Science (380 citations), Infectious Diseases (420 citations), Epidemiology (557 citations), Animal Science and Zoology (128 citations) and Modeling and Simulation (51 citations). Clement Meseko has collaborated with scholars based in Nigeria, Italy and Germany. Frequent co-authors include Tony Joannis, Binod Kumar, Kumari Asha, Melvin Sanicas, Ismaila Shittu, David O. Olaleye, Georgina N. Odaibo, Madhu Khanna, Aliyu Muhammad and Olusola O. Oladipo. Their work appears in journals such as Viruses, Archives of Virology, Emerging infectious diseases, Vaccines and Veterinary Microbiology.
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.