Aline Uwimana
- Public Health, Environmental and Occupational Health top 2%
- Computational Theory and Mathematics top 2%
- Parasitology top 5%
- Pharmacology top 5%
- Infectious Diseases
- Co-authors
- David A. FidockAimable MbituyumuremyiMonique MurindahabiDaniel NgamijeDidier MénardMarian WarsameNoella UmulisaTharcisse Munyaneza
- Topics
- Malaria Research and Control (14 papers)Computational Drug Discovery Methods (7 papers)Mosquito-borne diseases and control (4 papers)
- Cited by
- Public Health, Environmental and Occupational HealthParasitologyComputational Theory and Mathematics
- Partner nations
- RwandaUnited StatesBelgium
In The Last Decade
Aline Uwimana
17 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Public Health, Environmental and Occupational Health 659
- Computational Theory and Mathematics 211
- Parasitology 106
- Pharmacology 96
- Infectious Diseases 90
Countries citing papers authored by Aline Uwimana
This map shows the geographic impact of Aline Uwimana'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 Aline Uwimana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aline Uwimana more than expected).
Fields of papers citing papers by Aline Uwimana
This network shows the impact of papers produced by Aline Uwimana. 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 Aline Uwimana. The network helps show where Aline Uwimana may publish in the future.
Co-authorship network of co-authors of Aline Uwimana
This figure shows the co-authorship network connecting the top 25 collaborators of Aline Uwimana. A scholar is included among the top collaborators of Aline Uwimana based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aline Uwimana. Aline Uwimana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | The emergence of artemisinin partial resistance in Africa: how do we respond?breakdown → | 52 |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 28 | |
| 10 | 3 | |
| 11 | Emergence and clonal expansion of in vitro artemisinin-resistant Plasmodium falciparum kelch13 R561H mutant parasites in Rwandabreakdown → | 435 |
| 12 | 16 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 79 | |
| 16 | 39 | |
| 17 | 50 | |
| 18 | 13 |
About Aline Uwimana
Aline Uwimana is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 18 papers that have together received 766 indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), Computational Drug Discovery Methods (7 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (659 citations), Parasitology (106 citations) and Computational Theory and Mathematics (211 citations). Aline Uwimana has collaborated with scholars based in Rwanda, United States and Belgium. Frequent co-authors include David A. Fidock, Aimable Mbituyumuremyi, Monique Murindahabi, Daniel Ngamije, Didier Ménard, Marian Warsame, Noella Umulisa, Tharcisse Munyaneza, Kaendi Munguti and Pascal Ringwald. Their work appears in journals such as Nature Medicine, PLoS ONE and Clinical 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.