Edith Nkwembe
Impact in
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- COVID-19 epidemiological studies
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Virology and Viral Diseases
- Data-Driven Disease Surveillance
Papers in
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- Influenza Virus Research Studies 5
- Data-Driven Disease Surveillance 1
- Virology and Viral Diseases 1
- Respiratory viral infections research 1
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- Viral Infections and Outbreaks Research 3
- Co-authors
- Benoît Kebela Ilunga (3 shared papers)Jean‐Jacques Muyembe Tamfum (3 shared papers)Stefano Tempia (2 shared papers)Jean Jacques Muyembe Tamfum (1 shared paper)Kenneth A. Katz (1 shared paper)Léopold Lubula (5 shared papers)Emile Okitolonda Wemakoy (2 shared papers)Adam L. Cohen (1 shared paper)
- Journals
- Influenza and Other Respiratory Viruses (1 paper)The Journal of Infectious Diseases (1 paper)PLoS ONE (1 paper)BMC Public Health (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- Democratic Republic of the CongoUnited StatesSouth Africa
In The Last Decade
Edith Nkwembe
7 papers receiving 81 citations
Peers
Comparison fields: 5 of 28
- Modeling and Simulation 11
- Epidemiology 60
- Health 9
- Infectious Diseases 16
- Agronomy and Crop Science 3
Countries citing papers authored by Edith Nkwembe
This map shows the geographic impact of Edith Nkwembe'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 Edith Nkwembe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edith Nkwembe more than expected).
Fields of papers citing papers by Edith Nkwembe
This network shows the impact of papers produced by Edith Nkwembe. 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 Edith Nkwembe. The network helps show where Edith Nkwembe may publish in the future.
Co-authors
The 25 scholars most cited alongside Edith Nkwembe, 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 | 2019 | 26 | |
| 2 | 2012 | 24 | |
| 3 | 2010 | 16 | |
| 4 | 2018 | 8 | |
| 5 | 2018 | 6 | |
| 6 | Molecular Analysis of Influenza A(H3N2) and A(H1N1)pdm09 Viruses circulating in the Democratic Republic of Congo, 2014. | 2016 | 4 |
| 7 | 2022 | 2 | |
| 8 | 2022 | 0 | |
| 9 | 2025 | 0 |
About Edith Nkwembe
Edith Nkwembe is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Health and Immunology, having authored 9 papers that have together received 86 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Viral Infections and Outbreaks Research (3 papers), COVID-19 epidemiological studies (2 papers), Vaccine Coverage and Hesitancy (1 paper), Data-Driven Disease Surveillance (1 paper), Virology and Viral Diseases (1 paper), Respiratory viral infections research (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Modeling and Simulation (11 citations), Epidemiology (60 citations), Health (9 citations), Infectious Diseases (16 citations) and Agronomy and Crop Science (3 citations). Edith Nkwembe has collaborated with scholars based in Democratic Republic of the Congo, United States and South Africa. Frequent co-authors include Benoît Kebela Ilunga, Jean‐Jacques Muyembe Tamfum, Stefano Tempia, Jean Jacques Muyembe Tamfum, Kenneth A. Katz, Léopold Lubula, Emile Okitolonda Wemakoy, Adam L. Cohen, Joelle Kabamba and Hugo Kavunga‐Membo. Their work appears in journals such as Influenza and Other Respiratory Viruses, The Journal of Infectious Diseases, PLoS ONE, BMC Public Health and Emerging 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.