M. Dia

837 total citations · 1 hit paper
8 papers, 581 citations indexed

About

M. Dia is a scholar working on Infectious Diseases, Virology and General Health Professions. According to data from OpenAlex, M. Dia has authored 8 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Virology and 1 paper in General Health Professions. Recurrent topics in M. Dia's work include HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers) and HIV/AIDS drug development and treatment (2 papers). M. Dia is often cited by papers focused on HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers) and HIV/AIDS drug development and treatment (2 papers). M. Dia collaborates with scholars based in Senegal and United States. M. Dia's co-authors include Souleymane Mboup, Phyllis J. Kanki, Aïssatou Guèye‐Ndiaye, Ibrahima Traoré, Ibou Thior, Max Essex, Richard Marlink, Tidiane Siby, Karin Travers and Geoffrey Eisen and has published in prestigious journals such as Science, Journal of Virology and American Journal of Epidemiology.

In The Last Decade

M. Dia

7 papers receiving 562 citations

Hit Papers

Reduced Rate of Disease Development After HIV-2 Infection... 1994 2026 2004 2015 1994 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Reduced Rate of Disease Development After HIV-2 Infection as Compared to HIV-1
    1994 432 citations Richard Marlink, Phyllis J. Kanki et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Dia Senegal 6 479 387 152 131 44 8 581
Ibrahima Traoré United States 7 569 1.2× 434 1.1× 177 1.2× 160 1.2× 58 1.3× 13 669
Sylvia Lopes Maia Teixeira Brazil 15 308 0.6× 316 0.8× 148 1.0× 71 0.5× 51 1.2× 24 458
Zacarias J da Silva Guinea-Bissau 14 349 0.7× 346 0.9× 141 0.9× 180 1.4× 41 0.9× 15 577
Louise B. Jørgensen Denmark 16 432 0.9× 472 1.2× 188 1.2× 58 0.4× 61 1.4× 30 604
Fred Lyagoba Uganda 12 506 1.1× 477 1.2× 117 0.8× 52 0.4× 50 1.1× 22 596
Simon Njenga Canada 8 322 0.7× 277 0.7× 160 1.1× 204 1.6× 27 0.6× 8 519
José Luís Canales Muñoz Mexico 5 445 0.9× 374 1.0× 125 0.8× 89 0.7× 46 1.0× 10 535
Jody Schock United States 7 468 1.0× 520 1.3× 186 1.2× 64 0.5× 50 1.1× 7 648
Timothy Rostron United Kingdom 10 584 1.2× 297 0.8× 163 1.1× 394 3.0× 75 1.7× 11 718
Zacarias da Silva Guinea-Bissau 12 325 0.7× 255 0.7× 114 0.8× 212 1.6× 32 0.7× 17 507

Countries citing papers authored by M. Dia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M. Dia

This figure shows the co-authorship network connecting the top 25 collaborators of M. Dia. A scholar is included among the top collaborators of M. Dia 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 M. Dia. M. Dia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
2.
Sarr, Moussa, et al.. (2011). Loss of follow-up among HIV infected female sex workers receiving antiretrovirals in Dakar, Senegal. Journal of AIDS and HIV Research. 3(5). 100–102.
3.
4.
Sarr, Abdoulaye Dieng, Stephen J. Popper, Aïssatou Guèye‐Ndiaye, et al.. (2006). The Absence of Anti‐Tat Antibodies Is Associated with Risk of Disease Progression in HIV‐2 Infection. The Journal of Infectious Diseases. 194(6). 760–763. 8 indexed citations
5.
Sarr, Abdoulaye Dieng, Geoffrey Eisen, Aïssatou Guèye‐Ndiaye, et al.. (2005). Viral Dynamics of Primary HIV‐1 Infection in Senegal, West Africa. The Journal of Infectious Diseases. 191(9). 1460–1467. 18 indexed citations
6.
Gaye‐Diallo, Aïssatou, et al.. (2001). [Preliminary study of human Herpesvirus type 8 infection in pregnant women in Dakar (Senegal)].. PubMed. 94(3). 231–4. 11 indexed citations
7.
Marlink, Richard, Phyllis J. Kanki, Ibou Thior, et al.. (1994). Reduced Rate of Disease Development After HIV-2 Infection as Compared to HIV-1. Science. 265(5178). 1587–1590. 432 indexed citations breakdown →
8.
Kanki, Phyllis J., Souleymane Mboup, Richard Marlink, et al.. (1992). Prevalence and Risk Determinants of Human Immunodeficiency Virus Type 2 (HIV-2) and Human Immunodeficiency Virus Type 1 (HIV-1) in West African Female Prostitutes. American Journal of Epidemiology. 136(7). 895–907. 76 indexed citations

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.

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