Mamuda Aminu

23 total papers · 761 total citations
14 papers, 458 citations indexed

About

Mamuda Aminu is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Obstetrics and Gynecology. According to data from OpenAlex, Mamuda Aminu has authored 14 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 4 papers in General Health Professions and 4 papers in Obstetrics and Gynecology. Recurrent topics in Mamuda Aminu's work include Global Maternal and Child Health (13 papers), Maternal and Perinatal Health Interventions (4 papers) and Maternal and Neonatal Healthcare (4 papers). Mamuda Aminu is often cited by papers focused on Global Maternal and Child Health (13 papers), Maternal and Perinatal Health Interventions (4 papers) and Maternal and Neonatal Healthcare (4 papers). Mamuda Aminu collaborates with scholars based in United Kingdom, Malawi and Sweden. Mamuda Aminu's co-authors include Nynke van den Broek, Bettina Utz, Mselenge Mdegela, Regine Unkels, SE Adaji, Sarah Bar‐Zeev, Abdul Halim, Matthews Mathai, Sarah White and Florence Mgawadere and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Mamuda Aminu

14 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Mamuda Aminu 382 208 128 75 74 14 458
Nelson Kakande 394 1.0× 214 1.0× 170 1.3× 83 1.1× 53 0.7× 16 506
Susannah Hopkins Leisher 343 0.9× 207 1.0× 125 1.0× 56 0.7× 149 2.0× 18 480
Gaurav Sharma 359 0.9× 187 0.9× 132 1.0× 70 0.9× 61 0.8× 18 496
Cephas Sialubanje 406 1.1× 173 0.8× 134 1.0× 158 2.1× 33 0.4× 21 484
Eva Weissman 452 1.2× 134 0.6× 167 1.3× 223 3.0× 49 0.7× 7 540
Monir Islam 213 0.6× 102 0.5× 83 0.6× 98 1.3× 122 1.6× 10 441
Anne Austin 362 0.9× 123 0.6× 156 1.2× 57 0.8× 24 0.3× 13 415
Mercy Abbey 432 1.1× 127 0.6× 156 1.2× 136 1.8× 41 0.6× 15 526
Louise Hulton 375 1.0× 123 0.6× 280 2.2× 40 0.5× 38 0.5× 15 533
Kingsley Agholor 279 0.7× 125 0.6× 161 1.3× 31 0.4× 31 0.4× 19 404

Countries citing papers authored by Mamuda Aminu

Since Specialization
Citations

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

Fields of papers citing papers by Mamuda Aminu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamuda Aminu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026