Maina Ngotho

1.3k total citations · 1 hit paper
42 papers, 901 citations indexed

About

Maina Ngotho is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Parasitology. According to data from OpenAlex, Maina Ngotho has authored 42 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 19 papers in Public Health, Environmental and Occupational Health and 15 papers in Parasitology. Recurrent topics in Maina Ngotho's work include Trypanosoma species research and implications (16 papers), Research on Leishmaniasis Studies (13 papers) and Toxoplasma gondii Research Studies (7 papers). Maina Ngotho is often cited by papers focused on Trypanosoma species research and implications (16 papers), Research on Leishmaniasis Studies (13 papers) and Toxoplasma gondii Research Studies (7 papers). Maina Ngotho collaborates with scholars based in Kenya, Denmark and Germany. Maina Ngotho's co-authors include John Kagira, Thomas Kariuki, Hiep D. Le, Satchidananda Panda, Howard M. Cooper, Ngalla Jillani, Max W. Chang, Giorgia Benegiamo, Ludovic S. Mure and Ouria Dkhissi‐Benyahya and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and BioMed Research International.

In The Last Decade

Maina Ngotho

39 papers receiving 878 citations

Hit Papers

Diurnal transcriptome atlas of a primate across major neu... 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Diurnal transcriptome atlas of a primate across major neural and peripheral tissues
    2018 531 citations Ludovic S. Mure, Hiep D. Le et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maina Ngotho Kenya 13 444 258 200 153 144 42 901
Filipa Rijo‐Ferreira United States 17 770 1.7× 637 2.5× 369 1.8× 97 0.6× 319 2.2× 23 1.6k
Natalia Schlabritz‐Loutsevitch United States 20 533 1.2× 270 1.0× 412 2.1× 46 0.3× 251 1.7× 72 2.0k
Thomas Kariuki Kenya 21 447 1.0× 237 0.9× 140 0.7× 717 4.7× 479 3.3× 39 1.7k
Zhi‐Jun Zhao China 22 302 0.7× 648 2.5× 134 0.7× 113 0.7× 33 0.2× 71 1.2k
Varsha Singh India 18 283 0.6× 130 0.5× 45 0.2× 99 0.6× 179 1.2× 52 1.4k
Sarah J. Fentress United States 13 361 0.8× 236 0.9× 852 4.3× 1.1k 6.9× 156 1.1× 13 1.7k
B. Blanchard France 16 152 0.3× 230 0.9× 163 0.8× 500 3.3× 68 0.5× 26 1.3k
José Clóvis do Prado Júnior Brazil 20 213 0.5× 63 0.2× 440 2.2× 171 1.1× 337 2.3× 73 908
Anahí Chavarría Mexico 21 59 0.1× 168 0.7× 63 0.3× 273 1.8× 70 0.5× 51 1.3k
Sakirul Khan Japan 17 196 0.4× 95 0.4× 225 1.1× 40 0.3× 79 0.5× 119 1.0k

Countries citing papers authored by Maina Ngotho

Since Specialization
Citations

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

Fields of papers citing papers by Maina Ngotho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maina Ngotho

This figure shows the co-authorship network connecting the top 25 collaborators of Maina Ngotho. A scholar is included among the top collaborators of Maina Ngotho 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 Maina Ngotho. Maina Ngotho 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.
Ngotho, Maina, et al.. (2023). Assessment of anticoccidial efficacy of chitosan nanoencapsulated bromelain against coccidia in naturally infected goats in Kenya. AFRICAN JOURNAL OF BIOTECHNOLOGY. 22(1). 19–25. 4 indexed citations
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Kagira, John, et al.. (2022). In vitro Anthelmintic Efficacy of Nano-encapsulated Bromelain against Gastrointestinal Nematodes of Goats in Kenya. World s Veterinary Journal. 95–104. 2 indexed citations
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Kagira, John, et al.. (2020). A Review on the Present Advances on Studies of Toxoplasmosis in Eastern Africa. BioMed Research International. 2020(1). 7135268–7135268. 28 indexed citations
9.
Mure, Ludovic S., Hiep D. Le, Giorgia Benegiamo, et al.. (2018). Diurnal transcriptome atlas of a primate across major neural and peripheral tissues. Science. 359(6381). 531 indexed citations breakdown →
10.
Maina, Naomi, et al.. (2017). IgM, lgG and IL-6 profiles in the Trypanosoma brucei brucei monkey model of human African trypanosomiasis. Acta Tropica. 168. 45–49. 2 indexed citations
11.
Kagira, John, et al.. (2015). Virulence and pathogenicity of three <i>Trypanosoma brucei rhodesiense</i> stabilates in a Swiss white mouse model. SHILAP Revista de lepidopterología. 4(1). 137–137. 4 indexed citations
12.
Maina, Naomi, et al.. (2014). Development of a safer laboratory vervet monkey model for the study of human African trypanosomiasis. African Journal of Laboratory Medicine. 3(1). 100–100. 2 indexed citations
13.
Maina, Naomi, et al.. (2013). Herbal Medicines in Kenya: A Review of the Toxicity and Quality Control Issues. African Journal of Health Sciences. 24(1). 29–47. 2 indexed citations
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Maina, Naomi, et al.. (2013). Questionnaire Survey on the Occurrence of Risk factors for Toxoplasma gondii infection amongst Farmers in Thika District, Kenya. Journal of the South African Veterinary Association. 84(1). E1–6. 12 indexed citations
15.
Obanda, Vincent, et al.. (2013). First reported case of fatal tuberculosis in a wild African elephant with past human–wildlife contact. Epidemiology and Infection. 141(7). 1476–1480. 25 indexed citations
16.
Kagira, John, et al.. (2013). IL-6 is Upregulated in Late-Stage Disease in Monkeys Experimentally Infected withTrypanosoma brucei rhodesiense. SHILAP Revista de lepidopterología. 2013. 1–6. 7 indexed citations
17.
Ngotho, Maina, John Kagira, Naomi Maina, et al.. (2011). Influence of trypanocidal therapy on the haematology of vervet monkeys experimentally infected with Trypanosoma brucei rhodesiense. Acta Tropica. 119(1). 14–18. 12 indexed citations
18.
Ngotho, Maina, John Kagira, Henrik Elvang Jensen, et al.. (2009). Immunospecific immunoglobulins and IL‐10 as markers for Trypanosoma brucei rhodesiense late stage disease in experimentally infected vervet monkeys. Tropical Medicine & International Health. 14(7). 736–747. 23 indexed citations
19.
Ngotho, Maina & John K. Thuita. (2007). Development of a rodent model for late stage rhodesian sleeping sickness. Journal of protozoology research. 17(2). 48–56. 7 indexed citations
20.
Ngotho, Maina, Naomi Maina, John Kagira, et al.. (2006). IL-10 is up regulated in early and transitional stages in vervet monkeys experimentally infected with Trypanosoma brucei rhodesiense. Parasitology International. 55(4). 243–248. 13 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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