Aminata Maïga

24 total papers · 637 total citations
14 papers, 517 citations indexed

About

Aminata Maïga is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Aminata Maïga has authored 14 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Aminata Maïga's work include Antibiotic Resistance in Bacteria (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Aminata Maïga is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Aminata Maïga collaborates with scholars based in Mali, France and United States. Aminata Maïga's co-authors include Antoine Andremont, Raymond Ruimy, Étienne Ruppé, François Barbier, Laurence Armand-Lefèvre, Kévin Gaillard, I Maïga, Amadou Diallo, Abdel Karim Koumaré and Edward J. Feil and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and The Journal of Infectious Diseases.

In The Last Decade

Aminata Maïga

10 papers receiving 504 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aminata Maïga 425 302 220 74 65 14 517
N. Ashdown 509 1.2× 320 1.1× 185 0.8× 94 1.3× 40 0.6× 18 594
Hülya Kaya 337 0.8× 222 0.7× 177 0.8× 57 0.8× 41 0.6× 13 450
Peter M. Kinnevey 504 1.2× 333 1.1× 216 1.0× 58 0.8× 46 0.7× 23 592
R. De Ryck 376 0.9× 246 0.8× 230 1.0× 95 1.3× 70 1.1× 16 545
A. Vickery 461 1.1× 212 0.7× 264 1.2× 102 1.4× 84 1.3× 21 580
Antigoni Foka 351 0.8× 268 0.9× 169 0.8× 67 0.9× 80 1.2× 25 508
Hani L. N. Dick 408 1.0× 192 0.6× 267 1.2× 82 1.1× 88 1.4× 7 595
E.C. Deasy 354 0.8× 255 0.8× 176 0.8× 39 0.5× 32 0.5× 9 453
Nan van Leeuwen 357 0.8× 223 0.7× 216 1.0× 82 1.1× 50 0.8× 7 484
Ritsuko Mitsuhata 327 0.8× 252 0.8× 167 0.8× 110 1.5× 66 1.0× 13 559

Countries citing papers authored by Aminata Maïga

Since Specialization
Citations

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

Fields of papers citing papers by Aminata Maïga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aminata Maïga

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

All Works

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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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