This map shows the geographic impact of P.N. Nyaga'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 P.N. Nyaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.N. Nyaga more than expected).
This network shows the impact of papers produced by P.N. Nyaga. 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 P.N. Nyaga. The network helps show where P.N. Nyaga may publish in the future.
Co-authorship network of co-authors of P.N. Nyaga
This figure shows the co-authorship network connecting the top 25 collaborators of P.N. Nyaga.
A scholar is included among the top collaborators of P.N. Nyaga 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 P.N. Nyaga. P.N. Nyaga 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.
Mbuthia, P.G., et al.. (2019). Bacterial pathogens isolated from farmed fish and source pond water in Kirinyaga County, Kenya.. International Journal of Fisheries and Aquatic Studies. 7(2). 295–301.6 indexed citations
2.
Bebora, L C, et al.. (2018). Antibiotic resistance in bacteria isolated from indigenous slaughter chicken in Nairobi, Kenya. East African Medical Journal. 95(10). 1985–1994.2 indexed citations
3.
Nyaga, P.N., et al.. (2017). Effects of different infectious bursal disease vaccination regimes on biochemical and haematological parameters of indigenous chicken in Kenya.. Livestock research for rural development. 29(5).2 indexed citations
4.
Bebora, L C, et al.. (2017). Occurrence of antibodies to infectious bursal disease virus in non-vaccinated indigenous chicken, ducks and turkeys in Kenya. 6(3). 159–162.5 indexed citations
Nyaga, P.N., et al.. (2015). Isolation of Infectious Bursal Disease Virus Using Indigenous Chicken Embryos in Kenya. International Scholarly Research Notices.. International Scholarly Research Notices. 2015.1 indexed citations
7.
Nyaga, P.N., et al.. (2013). Gumboro Disease Outbreaks Cause High Mortality Rates in Indigenous Chickens in Kenya. University of Nairobi Research Archive (University of Nairobi). 61(4). 571–578.4 indexed citations
8.
Bebora, L C, et al.. (2013). Efficacy of Piperazine citrate, Levamisole hydrochloride and Albendazole in the treatment of chicken naturally infected with gastrointestinal helminths.. Livestock research for rural development. 29(5).3 indexed citations
9.
Nyaga, P.N., et al.. (2011). Prevalence of ectoparasites infestation in indigenous free-ranging village chickens in different agroecological zones in Kenya. Livestock research for rural development. 22(11).21 indexed citations
10.
Nyaga, P.N., et al.. (2010). Prevalence of Newcastle disease virus in village indigenous chickens in varied agro-ecological zones in Kenya. Livestock research for rural development. 22(5).28 indexed citations
Mbuthia, P.G., et al.. (2005). Comparison of the Carrier Status of P. multocida Between Farm and Live Market Indigenous Birds. 29(1). 45–47.1 indexed citations
Nyaga, P.N., et al.. (1982). Milk hygiene in nomadic herds in Kenya evaluated by bacterial isolation, bacterial viability trials in traditionally fermenting milk and drug sensitivity.. PubMed. 30(1). 19–23.4 indexed citations
Nyaga, P.N., et al.. (1980). Canine pulmonary geotrichosis - case report.. 4(1). 6–9.1 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.