Yaya Diémé
- Parasitology top 5%
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- Malaria Research and Control 14
- Mosquito-borne diseases and control 3
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- Computational Drug Discovery Methods 7
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection 5
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing 2
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- HIV/AIDS drug development and treatment 4
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- Flood Risk Assessment and Management 2
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- Infective Endocarditis Diagnosis and Management 2
- Co-authors
- Boubacar WadeBécaye FallBruno PradinesBakary DiattaMansour FallCheikhou CamaraRaymond BercionKhadidiatou Ba Fall
- Cited by
- ParasitologyPublic Health, Environmental and Occupational HealthComputational Theory and Mathematics
In The Last Decade
Yaya Diémé
18 papers receiving 576 citations
Peers
Comparison fields: 5 of 56
- Parasitology 119
- Public Health, Environmental and Occupational Health 469
- Computational Theory and Mathematics 174
- Pharmacology 72
- Clinical Biochemistry 50
Countries citing papers authored by Yaya Diémé
This map shows the geographic impact of Yaya Diémé'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 Yaya Diémé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaya Diémé more than expected).
Fields of papers citing papers by Yaya Diémé
This network shows the impact of papers produced by Yaya Diémé. 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 Yaya Diémé. The network helps show where Yaya Diémé may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaya Diémé, 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 | 2017 | 10 | |
| 2 | 2016 | 15 | |
| 3 | 2016 | 14 | |
| 4 | 2016 | 6 | |
| 5 | 2015 | 41 | |
| 6 | 2015 | 51 | |
| 7 | 2015 | 47 | |
| 8 | 2015 | 19 | |
| 9 | 2015 | 0 | |
| 10 | 2014 | 65 | |
| 11 | 2014 | 70 | |
| 12 | 2014 | 12 | |
| 13 | 2013 | 22 | |
| 14 | 2013 | 6 | |
| 15 | 2013 | 106 | |
| 16 | PREVISION DES CRUES DANS LE BASSIN AMONT DU FLEUVE SENEGAL A L?AIDE DE PROCEDURES ADAPTATIVES./ADAPTIVE METHODS FOR SENEGAL RIVER HEADBASIN FLOOD FORECASTING | 2012 | 1 |
| 17 | 2012 | 39 | |
| 18 | 2012 | 7 | |
| 19 | 2011 | 40 | |
| 20 | 2009 | 7 |
About Yaya Diémé
Yaya Diémé is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 20 papers that have together received 578 indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), Computational Drug Discovery Methods (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), HIV/AIDS drug development and treatment (4 papers), Mosquito-borne diseases and control (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Flood Risk Assessment and Management (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Parasitology (119 citations), Public Health, Environmental and Occupational Health (469 citations) and Computational Theory and Mathematics (174 citations). Yaya Diémé has collaborated with scholars based in Senegal, France and Cambodia. Frequent co-authors include Boubacar Wade, Bécaye Fall, Bruno Pradines, Bakary Diatta, Mansour Fall, Cheikhou Camara, Raymond Bercion, Khadidiatou Ba Fall, Aminata Nakoulima and P S Mbaye. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy 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.