Hamma Maiga

24 papers receiving 505 citations

Peers

Hamma Maiga
Comparison fields: 5 of 54
  • Public Health, Environmental and Occupational Health 451
  • Parasitology 45
  • Pharmacology 42
  • Computational Theory and Mathematics 61
  • Pediatrics, Perinatology and Child Health 48
Replace Anyirékun Fabrice Somé with:
Anyirékun Fabrice Somé Burkina Faso
Eric M. Njunju Zambia
Victor Bigira United States
Richard Kajubi Uganda
Michael Nambozi Zambia
Mamadou Teketé Mali
K Chalermrut Thailand
Carole Khairallah United Kingdom
Corine Karema Rwanda
Patience Nayebare Uganda
Hamma Maiga relative to Anyirékun Fabrice Somé Burkina Faso Anyirékun Fabrice Somé's profile →
Citations per field
00.5×4.5×
Anyirékun Fabrice Somé · 1×
Citations per year

Countries citing papers authored by Hamma Maiga

Since Specialization
Citations

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

Fields of papers citing papers by Hamma Maiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamma Maiga. 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 Hamma Maiga. The network helps show where Hamma Maiga may publish in the future.

Co-authors

The 25 scholars most cited alongside Hamma Maiga, 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 Hamma Maiga Line = papers co-authored together Hamma Maiga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004133
2 200848
3 200943
4 200935
5 200931
6 201629
7 200926
8 201725
9 200920
10 200819
11 201615
12 200614
13 202114
14 201113
15 201210
16 20159
17 20208
18 20117
19 20207
20 20223

About Hamma Maiga

Hamma Maiga is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology, Computational Theory and Mathematics, General Health Professions and Parasitology, having authored 27 papers that have together received 514 indexed citations. Recurring topics across this work include Malaria Research and Control (23 papers), Mosquito-borne diseases and control (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Computational Drug Discovery Methods (4 papers), Parasites and Host Interactions (2 papers), Health and Conflict Studies (1 paper), Global Maternal and Child Health (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (451 citations), Parasitology (45 citations), Pharmacology (42 citations), Computational Theory and Mathematics (61 citations) and Pediatrics, Perinatology and Child Health (48 citations). Hamma Maiga has collaborated with scholars based in Mali, United States and South Africa. Frequent co-authors include Ogobara K. Doumbo, Abdoulaye Djimdé, Robert D. Newman, Kassoum Kayentao, Alassane Dicko, Mamoudou Kodio, Oumar Traoré, Mary Mungai, Aïssata Ongoïba and Mamadou Teketé. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, International Journal of Environmental Research and Public Health and Tropical Medicine and Infectious Disease.

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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