Edith Nkwembe
Impact in
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- COVID-19 epidemiological studies
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Data-Driven Disease Surveillance
- Virology and Viral Diseases
Papers in
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- Influenza Virus Research Studies 8
- Respiratory viral infections research 5
- Virology and Viral Diseases 1
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- Viral Infections and Outbreaks Research 4
- Co-authors
- Benoît Kebela Ilunga (3 shared papers)Adam L. Cohen (1 shared paper)Emile Okitolonda Wemakoy (2 shared papers)Stefano Tempia (2 shared papers)Kenneth A. Katz (1 shared paper)Jean‐Jacques Muyembe Tamfum (2 shared papers)Léopold Lubula (5 shared papers)Jean Jacques Muyembe Tamfum (1 shared paper)
- Journals
- Influenza and Other Respiratory Viruses (1 paper)The Journal of Infectious Diseases (1 paper)BMC Public Health (1 paper)Emerging infectious diseases (1 paper)PLoS ONE (1 paper)
- Partner nations
- Democratic Republic of the CongoUnited StatesSouth Africa
In The Last Decade
Edith Nkwembe
7 papers receiving 78 citations
Peers
Comparison fields: 5 of 34
- Modeling and Simulation 17
- Epidemiology 68
- Health 13
- Infectious Diseases 28
- 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 | 13 | |
| 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 Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 83 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers), Viral Infections and Outbreaks Research (4 papers), COVID-19 epidemiological studies (3 papers), Smoking Behavior and Cessation (1 paper), Virology and Viral Diseases (1 paper), Travel-related health issues (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Modeling and Simulation (17 citations), Epidemiology (68 citations), Health (13 citations), Infectious Diseases (28 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, Adam L. Cohen, Emile Okitolonda Wemakoy, Stefano Tempia, Kenneth A. Katz, Jean‐Jacques Muyembe Tamfum, Léopold Lubula, Jean Jacques Muyembe Tamfum, Hugo Kavunga‐Membo and Joelle Kabamba. Their work appears in journals such as Influenza and Other Respiratory Viruses, The Journal of Infectious Diseases, BMC Public Health, Emerging infectious diseases and PLoS ONE.
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.