Z. M. Kinyua

1.0k total citations
28 papers, 608 citations indexed

About

Z. M. Kinyua is a scholar working on Plant Science, Food Science and Agronomy and Crop Science. According to data from OpenAlex, Z. M. Kinyua has authored 28 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 8 papers in Food Science and 4 papers in Agronomy and Crop Science. Recurrent topics in Z. M. Kinyua's work include Plant Pathogenic Bacteria Studies (8 papers), Plant Virus Research Studies (8 papers) and Plant Pathogens and Resistance (8 papers). Z. M. Kinyua is often cited by papers focused on Plant Pathogenic Bacteria Studies (8 papers), Plant Virus Research Studies (8 papers) and Plant Pathogens and Resistance (8 papers). Z. M. Kinyua collaborates with scholars based in Kenya, United Kingdom and Uganda. Z. M. Kinyua's co-authors include Douglas W. Miano, A. W. Wangai, Ian P. Adams, J. Smith, Neil Boonham, Muo Kasina, Kay Scheets, Daniel Jeffers, Margaret G. Redinbaugh and George Mahuku and has published in prestigious journals such as Frontiers in Plant Science, Plant Disease and Archives of Virology.

In The Last Decade

Z. M. Kinyua

25 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z. M. Kinyua Kenya 11 562 101 85 64 53 28 608
Bramwel Wanjala Kenya 15 531 0.9× 70 0.7× 74 0.9× 90 1.4× 25 0.5× 28 637
V. Aritua Uganda 21 912 1.6× 106 1.0× 85 1.0× 107 1.7× 12 0.2× 34 969
Poliane Alfenas‐Zerbini Brazil 13 470 0.8× 117 1.2× 118 1.4× 118 1.8× 31 0.6× 39 574
Sara Shakir Pakistan 11 400 0.7× 163 1.6× 69 0.8× 158 2.5× 36 0.7× 25 480
R. T. Lewellen United States 17 1.0k 1.8× 130 1.3× 160 1.9× 182 2.8× 38 0.7× 83 1.1k
S. A. Tolin United States 22 1.4k 2.5× 85 0.8× 128 1.5× 135 2.1× 40 0.8× 60 1.5k
Livia Stavolone Italy 16 520 0.9× 89 0.9× 108 1.3× 157 2.5× 27 0.5× 32 607
Fábio Nascimento da Silva Brazil 14 675 1.2× 200 2.0× 165 1.9× 114 1.8× 19 0.4× 62 709
Anirban Roy India 14 568 1.0× 92 0.9× 93 1.1× 123 1.9× 15 0.3× 73 621
Paulo Augusto Vianna Barroso Brazil 15 632 1.1× 92 0.9× 159 1.9× 133 2.1× 10 0.2× 51 702

Countries citing papers authored by Z. M. Kinyua

Since Specialization
Citations

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

Fields of papers citing papers by Z. M. Kinyua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. M. Kinyua. 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 Z. M. Kinyua. The network helps show where Z. M. Kinyua may publish in the future.

Co-authorship network of co-authors of Z. M. Kinyua

This figure shows the co-authorship network connecting the top 25 collaborators of Z. M. Kinyua. A scholar is included among the top collaborators of Z. M. Kinyua 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 Z. M. Kinyua. Z. M. Kinyua 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.
Cortada, Laura, Solveig Haukeland, Moses Nyongesa, et al.. (2020). Potato Cyst Nematodes: A New Threat to Potato Production in East Africa. Frontiers in Plant Science. 11. 670–670. 52 indexed citations
2.
3.
Kinyua, Z. M., et al.. (2020). Sampling procedures and action threshold level of vectors of viruses that cause maize lethal necrosis disease in Kenya. International Journal of Tropical Insect Science. 40(4). 919–931. 3 indexed citations
5.
Kinyua, Z. M., et al.. (2019). Control of Ralstonia solanacearum on Selected Solaneceous Crops in Greenhouse by Selected Soil Amendments. Journal of Agriculture and Ecology Research International. 1–12. 1 indexed citations
6.
Karanja, Nancy, et al.. (2018). Control of bacterial wilt (ralstoniasolanacearum) in potato (Solanum tuberosum) using rhizobacteria and arbuscular mycorrhiza fungi.. African Journal of Food Agriculture Nutrition and Development. 18(2). 13372–13388. 12 indexed citations
7.
Cortada, Laura, et al.. (2018). First Report of Potato Cyst Nematode Globodera pallida Infecting Potato (Solanum tuberosum) in Kenya. Plant Disease. 102(8). 1671–1671. 21 indexed citations
8.
Wagara, I. N., et al.. (2017). Impact of crop rotation sequences on potato in fields inoculated with bacterial wilt caused by Ralstonia solanacearum. African Journal of Agricultural Research. 12(14). 1226–1235. 6 indexed citations
9.
Kariuki, G. M., et al.. (2017). Cropping System Intensification as a Management Method Against Vectors of Viruses Causing Maize Lethal Necrosis Disease in Kenya. East African Agricultural and Forestry Journal. 82(2-4). 246–260. 4 indexed citations
10.
Wagara, I. N., et al.. (2016). Distribution, Prevalence and Incidence of Potato Bacterial Wilt in Nakuru County, KENYA. International journal of innovative research and development. 5(1). 3 indexed citations
11.
Kinyua, Z. M., et al.. (2014). Effect of Essential Oil Plant Extracts on in vitro Growth of Ralstonia solanacearum. 14. 1 indexed citations
12.
Muthoni, Jane, Hussein Shimelis, Rob Melis, & Z. M. Kinyua. (2013). Response of Potato Genotypes to Bacterial Wilt Caused by Ralstonia Solanacearum (Smith)(Yabuuchi et al.) In the Tropical Highlands. American Journal of Potato Research. 91(2). 215–232. 27 indexed citations
13.
TOMLINSON, J. A., Ian P. Adams, Douglas W. Miano, et al.. (2012). Loop-mediated isothermal amplification for rapid detection of the causal agents of cassava brown streak disease. Journal of Virological Methods. 191(2). 148–154. 44 indexed citations
14.
Adams, Ian P., Douglas W. Miano, Z. M. Kinyua, et al.. (2012). Use of next‐generation sequencing for the identification and characterization of M aize chlorotic mottle virus and S ugarcane mosaic virus causing maize lethal necrosis in K enya. Plant Pathology. 62(4). 741–749. 93 indexed citations
15.
Wangai, A. W., Margaret G. Redinbaugh, Z. M. Kinyua, et al.. (2012). First Report of Maize chlorotic mottle virus and Maize Lethal Necrosis in Kenya. Plant Disease. 96(10). 1582–1582. 135 indexed citations
16.
Monger, Wendy, Titus Alicai, Joseph Ndunguru, et al.. (2010). The complete genome sequence of the Tanzanian strain of Cassava brown streak virus and comparison with the Ugandan strain sequence. Archives of Virology. 155(3). 429–433. 67 indexed citations
17.
Kakuhenzire, Rogers, Charles Musoke, O. M. Olanya, et al.. (2005). Validation, adaptation and uptake of potato small seed plot technology among rural, resource-limited households in Uganda. 7. 1355–1361. 2 indexed citations
18.
Kinyua, Z. M., O. M. Olanya, James J. Smith, et al.. (2005). Seed-plot technique: empowerment of farmers in production of bacterial wilt-free seed potato in Kenya and Uganda.. 167–175. 4 indexed citations
19.
Kinyua, Z. M.. (2002). Genetic structure and virulence characterisation of Cercospora populations causing maize grey leaf spot in Kenya. [2nd year PhD] Kenya Agricultural Research Institute, Nairobi, Kenya..
20.
Kinyua, Z. M., et al.. (2001). On-farm successes and challenges of producing bacterial wilt-free tubers in seed plots in Kenya. African Crop Science Journal. 9(1). 19 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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