Berthe Miwanda
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Vibrio bacteria research studies 10
-
- Salmonella and Campylobacter epidemiology 4
- Co-authors
- Jean‐Jacques Muyembe (3 shared papers)Didier Bompangue (4 shared papers)David Hendrickx (1 shared paper)Octavie Lunguya (1 shared paper)Veerle Vanlerberghe (2 shared papers)Benoit Kebela (1 shared paper)Mathias Mossoko (1 shared paper)Jan Jacobs (1 shared paper)
- Journals
- Emerging infectious diseases (3 papers)PLoS neglected tropical diseases (2 papers)The Journal of Infectious Diseases (1 paper)PLoS ONE (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)
- Partner nations
- Democratic Republic of the CongoFranceGuinea
In The Last Decade
Berthe Miwanda
9 papers receiving 167 citations
Peers
Comparison fields: 5 of 37
- Endocrinology 148
- Modeling and Simulation 47
- Molecular Medicine 29
- Management of Technology and Innovation 21
- Food Science 46
Countries citing papers authored by Berthe Miwanda
This map shows the geographic impact of Berthe Miwanda'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 Berthe Miwanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berthe Miwanda more than expected).
Fields of papers citing papers by Berthe Miwanda
This network shows the impact of papers produced by Berthe Miwanda. 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 Berthe Miwanda. The network helps show where Berthe Miwanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Berthe Miwanda, 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 | 55 | |
| 2 | 2015 | 27 | |
| 3 | 2013 | 21 | |
| 4 | 2015 | 19 | |
| 5 | 2018 | 19 | |
| 6 | 2015 | 12 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2020 | 0 |
About Berthe Miwanda
Berthe Miwanda is a scholar working on Endocrinology, Food Science, Immunology, Modeling and Simulation and Management of Technology and Innovation, having authored 10 papers that have together received 171 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), Salmonella and Campylobacter epidemiology (4 papers), COVID-19 epidemiological studies (3 papers), Aquaculture disease management and microbiota (3 papers), Blood donation and transfusion practices (2 papers), Child Nutrition and Water Access (2 papers), Aquatic Ecosystems and Biodiversity (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Endocrinology (148 citations), Modeling and Simulation (47 citations), Molecular Medicine (29 citations), Management of Technology and Innovation (21 citations) and Food Science (46 citations). Berthe Miwanda has collaborated with scholars based in Democratic Republic of the Congo, France and Guinea. Frequent co-authors include Jean‐Jacques Muyembe, Didier Bompangue, David Hendrickx, Octavie Lunguya, Veerle Vanlerberghe, Benoit Kebela, Mathias Mossoko, Jan Jacobs, Marianne A. B. van der Sande and Marleen Boelaert. Their work appears in journals such as Emerging infectious diseases, PLoS neglected tropical diseases, The Journal of Infectious Diseases, PLoS ONE and American Journal of Tropical Medicine and Hygiene.
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.