Godwin Ntadom

864 total citations
21 papers, 282 citations indexed

About

Godwin Ntadom is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Computational Theory and Mathematics. According to data from OpenAlex, Godwin Ntadom has authored 21 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Computational Theory and Mathematics. Recurrent topics in Godwin Ntadom's work include Mosquito-borne diseases and control (17 papers), Malaria Research and Control (17 papers) and Global Maternal and Child Health (5 papers). Godwin Ntadom is often cited by papers focused on Mosquito-borne diseases and control (17 papers), Malaria Research and Control (17 papers) and Global Maternal and Child Health (5 papers). Godwin Ntadom collaborates with scholars based in Nigeria, United Kingdom and Philippines. Godwin Ntadom's co-authors include Akintunde Sowunmi, Wellington Oyibo, Nnenna Ezeigwe, Chimere Agomo, Kazeem Akano, Olufemi Ajumobi, Khadim Diongue, Mamadou Alpha Diallo, Henrietta U. Okafor and Adejumoke Idowu Ayede and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Godwin Ntadom

20 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Godwin Ntadom Nigeria 11 240 57 47 45 31 21 282
Michael Nambozi Zambia 10 302 1.3× 85 1.5× 70 1.5× 77 1.7× 51 1.6× 14 351
Jean-Bertin Bukasa Kabuya Zambia 10 209 0.9× 63 1.1× 37 0.8× 41 0.9× 22 0.7× 20 282
Ibrahima Diallo Senegal 9 311 1.3× 108 1.9× 47 1.0× 48 1.1× 41 1.3× 18 401
CO Falade Nigeria 11 242 1.0× 38 0.7× 61 1.3× 21 0.5× 80 2.6× 26 380
Maminata Traoré‐Coulibaly Burkina Faso 8 173 0.7× 56 1.0× 37 0.8× 13 0.3× 28 0.9× 29 253
Amidou Ouédraogo Burkina Faso 5 242 1.0× 54 0.9× 45 1.0× 39 0.9× 23 0.7× 11 264
Abdoul Salam Keita Mali 10 267 1.1× 105 1.8× 82 1.7× 26 0.6× 25 0.8× 13 368
Adoke Yeka Uganda 8 351 1.5× 47 0.8× 45 1.0× 110 2.4× 66 2.1× 9 391
Niawanlou Dara Mali 6 258 1.1× 46 0.8× 43 0.9× 69 1.5× 46 1.5× 7 271
Yahia Dicko Mali 6 234 1.0× 49 0.9× 39 0.8× 56 1.2× 39 1.3× 11 278

Countries citing papers authored by Godwin Ntadom

Since Specialization
Citations

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

Fields of papers citing papers by Godwin Ntadom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Godwin Ntadom

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

All Works

20 of 20 papers shown
1.
Oyibo, Wellington, Godwin Ntadom, Perpetua Uhomoibhi, et al.. (2023). Malaria parasite density and detailed qualitative microscopy enhances large-scale profiling of infection endemicity in Nigeria. Scientific Reports. 13(1). 1599–1599. 5 indexed citations
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Oyibo, Wellington, Godwin Ntadom, Perpetua Uhomoibhi, et al.. (2021). Geographical and temporal variation in reduction of malaria infection among children under 5 years of age throughout Nigeria. BMJ Global Health. 6(2). e004250–e004250. 15 indexed citations
4.
Mokuolu, Olugbenga Ayodeji, Olufemi Ajumobi, Godwin Ntadom, et al.. (2018). Provider and patient perceptions of malaria rapid diagnostic test use in Nigeria: a cross-sectional evaluation. Malaria Journal. 17(1). 200–200. 10 indexed citations
5.
Badiane, Aïda Sadikh, Godwin Ntadom, Yaye Dié Ndiaye, et al.. (2018). Molecular identification of Plasmodium species responsible for malaria reveals Plasmodium vivax isolates in Duffy negative individuals from southwestern Nigeria. Malaria Journal. 17(1). 439–439. 38 indexed citations
6.
Akano, Kazeem, Godwin Ntadom, Chimere Agomo, et al.. (2018). Parasite reduction ratio one day after initiation of artemisinin-based combination therapies and its relationship with parasite clearance time in acutely malarious children. Infectious Diseases of Poverty. 7(1). 122–122. 3 indexed citations
7.
Odugbemi, Babatunde A., Kolawole Maxwell, Bala Mohammed Audu, et al.. (2018). Private sector malaria RDT initiative in Nigeria: lessons from an end-of-project stakeholder engagement meeting. Malaria Journal. 17(1). 70–70. 7 indexed citations
8.
Ebenebe, Joy C., Godwin Ntadom, Jose Ambe, et al.. (2018). Efficacy of Artemisinin-Based Combination Treatments of Uncomplicated Falciparum Malaria in Under-Five-Year-Old Nigerian Children Ten Years Following Adoption as First-Line Antimalarials. American Journal of Tropical Medicine and Hygiene. 99(3). 649–664. 23 indexed citations
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Sowunmi, Akintunde, Kazeem Akano, Adejumoke Idowu Ayede, et al.. (2017). Early rising asexual parasitaemia in Nigerian children following a first dose of artemisinin-based combination treatments of falciparum malaria. BMC Infectious Diseases. 17(1). 110–110. 5 indexed citations
12.
Anyanti, Jennifer, et al.. (2017). When it just won’t go away: oral artemisinin monotherapy in Nigeria, threatening lives, threatening progress. Malaria Journal. 16(1). 489–489. 9 indexed citations
13.
Ntadom, Godwin, et al.. (2017). Impact of comorbidity on adverse drug reaction profile in a cohort of patients treated with Artemisinin combination therapies for uncomplicated malaria in Nigeria. Pharmacology Research & Perspectives. 5(2). e00302–e00302. 15 indexed citations
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Mokuolu, Olugbenga Ayodeji, Godwin Ntadom, Olufemi Ajumobi, et al.. (2016). Status of the use and compliance with malaria rapid diagnostic tests in formal private health facilities in Nigeria. Malaria Journal. 15(1). 4–4. 26 indexed citations
17.
Sowunmi, Akintunde, et al.. (2015). Temporal changes in haematocrit following artemisinin-based combination treatments of uncomplicated falciparum malaria in children. BMC Infectious Diseases. 15(1). 454–454. 10 indexed citations
18.
Ajumobi, Olufemi, Kabir Sabitu, Patrick Nguku, et al.. (2015). Performance of an HRP-2 Rapid Diagnostic Test in Nigerian Children Less Than 5 Years of Age. American Journal of Tropical Medicine and Hygiene. 92(4). 828–833. 32 indexed citations
19.
Oguche, Stephen, Henrietta U. Okafor, Martin Meremikwu, et al.. (2014). Efficacy of Artemisinin-Based Combination Treatments of Uncomplicated Falciparum Malaria in Under-Five-Year-Old Nigerian Children. American Journal of Tropical Medicine and Hygiene. 91(5). 925–935. 32 indexed citations
20.
Ezedinachi, Emmanuel, Friday Odey, Soter Ameh, et al.. (2012). Factors Affecting the Uptake of Anti-Malarial Drugs by Children in PublicPrimary Health Facilities in Cross River State, Nigeria. 5(1). 21–26. 2 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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