Denise Njama‐Meya
- Public Health, Environmental and Occupational Health top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Parasitology top 5%
- Epidemiology
- Infectious Diseases
- Co-authors
- Grant DorseyMoses R. KamyaTamara D. ClarkPhilip J. RosenthalBridget NzarubaraCatherine Maiteki‐SebuguziSarah G. StaedkeBryan Greenhouse
- Topics
- Mosquito-borne diseases and control (12 papers)Malaria Research and Control (12 papers)Global Maternal and Child Health (4 papers)
- Cited by
- Public Health, Environmental and Occupational HealthParasitologyPediatrics, Perinatology and Child Health
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Denise Njama‐Meya
17 papers receiving 815 citations
Peers
Comparison fields: 5 of 79
- Public Health, Environmental and Occupational Health 651
- Pediatrics, Perinatology and Child Health 184
- Parasitology 131
- Epidemiology 104
- Infectious Diseases 93
Countries citing papers authored by Denise Njama‐Meya
This map shows the geographic impact of Denise Njama‐Meya'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 Denise Njama‐Meya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Njama‐Meya more than expected).
Fields of papers citing papers by Denise Njama‐Meya
This network shows the impact of papers produced by Denise Njama‐Meya. 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 Denise Njama‐Meya. The network helps show where Denise Njama‐Meya may publish in the future.
Co-authorship network of co-authors of Denise Njama‐Meya
This figure shows the co-authorship network connecting the top 25 collaborators of Denise Njama‐Meya. A scholar is included among the top collaborators of Denise Njama‐Meya 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 Denise Njama‐Meya. Denise Njama‐Meya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 19 | |
| 3 | 7 | |
| 4 | 72 | |
| 5 | 30 | |
| 6 | 30 | |
| 7 | 52 | |
| 8 | 39 | |
| 9 | 115 | |
| 10 | 35 | |
| 11 | 15 | |
| 12 | 136 | |
| 13 | 75 | |
| 14 | 44 | |
| 15 | 33 | |
| 16 | 89 | |
| 17 | Total lymphocyte count of 1200 is not a sensitive predictor of CD4 lymphocyte count among patients with HIV disease in Kampala, Uganda. | 25 |
About Denise Njama‐Meya
Denise Njama‐Meya is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 847 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Malaria Research and Control (12 papers) and Global Maternal and Child Health (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (651 citations), Parasitology (131 citations) and Pediatrics, Perinatology and Child Health (184 citations). Denise Njama‐Meya has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Grant Dorsey, Moses R. Kamya, Tamara D. Clark, Philip J. Rosenthal, Bridget Nzarubara, Catherine Maiteki‐Sebuguzi, Sarah G. Staedke, Bryan Greenhouse, Sarah G. Staedke and Moses R. Kamya. Their work appears in journals such as PLoS ONE, The Journal of Infectious Diseases and Preventive Medicine.
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.