M. Dia
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS Research and Interventions 5
- HIV/AIDS drug development and treatment 2
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Souleymane Mboup (7 shared papers)Phyllis J. Kanki (4 shared papers)Aïssatou Guèye‐Ndiaye (5 shared papers)Ibrahima Traoré (4 shared papers)Max Essex (2 shared papers)Karin Travers (2 shared papers)Ibou Thior (2 shared papers)Richard Marlink (2 shared papers)
- Journals
- The Journal of Infectious Diseases (2 papers)Science (1 paper)American Journal of Epidemiology (1 paper)Journal of Virology (1 paper)Journal of AIDS and HIV Research (1 paper)
- Partner nations
- SenegalUnited States
In The Last Decade
M. Dia
7 papers receiving 562 citations
M. Dia's Hit Papers
Peers
Comparison fields: 5 of 58
- Virology 479
- Infectious Diseases 387
- Immunology 131
- Epidemiology 152
- Emergency Medicine 38
Countries citing papers authored by M. Dia
This map shows the geographic impact of M. Dia'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 M. Dia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dia more than expected).
Fields of papers citing papers by M. Dia
This network shows the impact of papers produced by M. Dia. 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 M. Dia. The network helps show where M. Dia may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Dia, 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 | Reduced Rate of Disease Development After HIV-2 Infection as Compared to HIV-1 Hit paper breakdown → | 1994 | 432 |
| 2 | 1992 | 76 | |
| 3 | 2007 | 35 | |
| 4 | 2005 | 18 | |
| 5 | [Preliminary study of human Herpesvirus type 8 infection in pregnant women in Dakar (Senegal)]. | 2001 | 11 |
| 6 | 2006 | 8 | |
| 7 | 2020 | 1 | |
| 8 | 2011 | 0 |
About M. Dia
M. Dia is a scholar working on Infectious Diseases, Virology, General Health Professions, Sociology and Political Science and Epidemiology, having authored 8 papers that have together received 581 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers), HIV/AIDS drug development and treatment (2 papers), Healthcare Systems and Practices (1 paper), solar cell performance optimization (1 paper), HIV, Drug Use, Sexual Risk (1 paper), HIV-related health complications and treatments (1 paper) and Sex work and related issues (1 paper). The work is most often cited by research in Virology (479 citations), Infectious Diseases (387 citations), Immunology (131 citations), Epidemiology (152 citations) and Emergency Medicine (38 citations). M. Dia has collaborated with scholars based in Senegal and United States. Frequent co-authors include Souleymane Mboup, Phyllis J. Kanki, Aïssatou Guèye‐Ndiaye, Ibrahima Traoré, Max Essex, Karin Travers, Ibou Thior, Richard Marlink, Tidiane Siby and Jean‐Louis Sankalé. Their work appears in journals such as The Journal of Infectious Diseases, Science, American Journal of Epidemiology, Journal of Virology and Journal of AIDS and HIV Research.
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.