N.M. Manga

846 citations
46 papers · 505 indexed · h-index 11

Impact in

Papers in

    • HIV/AIDS Research and Interventions 11
    • HIV/AIDS drug development and treatment 4
    • HIV, Drug Use, Sexual Risk 6
    • Hepatitis B Virus Studies 4

N.M. Manga

40 papers receiving 484 citations

Peers

N.M. Manga
Comparison fields: 5 of 100
  • Modeling and Simulation 75
  • Endocrinology 77
  • Virology 63
  • Infectious Diseases 160
  • Transportation 50
Replace Fred Wurapa with:
Fred Wurapa Ghana
Raouf R. Arafat United States
Vanessa Rouzier United States
Hellen Gatakaa Kenya
Ryan Fagan United States
Deus Thindwa United Kingdom
Repon C. Paul United States
Elizabeth Prentice United States
Jaynal Abedin United States
Sam A. Ochola Kenya
N.M. Manga relative to Fred Wurapa Ghana Fred Wurapa's profile →
Citations per field
00.5×3.4×
Fred Wurapa · 1×
Citations per year

Countries citing papers authored by N.M. Manga

Since Specialization
Citations

This map shows the geographic impact of N.M. Manga'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 N.M. Manga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.M. Manga more than expected).

Fields of papers citing papers by N.M. Manga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.M. Manga. 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 N.M. Manga. The network helps show where N.M. Manga may publish in the future.

Co-authors

The 25 scholars most cited alongside N.M. Manga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N.M. Manga Line = papers co-authored together N.M. Manga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016122
2 201575
3 201252
4 201937
5 201525
6 200720
7 201719
8 200818
9 201116
10 200715
11 201011
12 20169
13 20158
14 20068
15 20037
16 20246
17 20215
18 20115
19
[Malaria: knowledge, behaviour and practices among a rural population of Gossas, Senegal].
20065
20 20164

About N.M. Manga

N.M. Manga is a scholar working on Infectious Diseases, Epidemiology, Virology, Endocrinology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 505 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (11 papers), HIV Research and Treatment (7 papers), HIV, Drug Use, Sexual Risk (6 papers), Diphtheria, Corynebacterium, and Tetanus (5 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Global Maternal and Child Health (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Endocrinology (77 citations), Virology (63 citations), Infectious Diseases (160 citations) and Transportation (50 citations). N.M. Manga has collaborated with scholars based in Senegal, United States and France. Frequent co-authors include Guillaume Constantin de Magny, Papa Salif Sow, Flavio Finger, Enrico Bertuzzo, Andrea Rinaldo, Lorenzo Mari, Bernard Marcel Diop, Moussa Seydi, Adama Diouf and Nicole Idohou‐Dossou. Their work appears in journals such as Médecine et Maladies Infectieuses, Frontiers in Microbiology, Value in Health, Journal of Hepatology and International Journal of 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.

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