Mathews M. Dida

1.2k total citations
35 papers, 700 citations indexed

About

Mathews M. Dida is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Mathews M. Dida has authored 35 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 13 papers in Genetics and 11 papers in Agronomy and Crop Science. Recurrent topics in Mathews M. Dida's work include Agronomic Practices and Intercropping Systems (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant Parasitism and Resistance (5 papers). Mathews M. Dida is often cited by papers focused on Agronomic Practices and Intercropping Systems (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant Parasitism and Resistance (5 papers). Mathews M. Dida collaborates with scholars based in Kenya, United States and Uganda. Mathews M. Dida's co-authors include Katrien M. Devos, Jeffrey L. Bennetzen, Srinivasachary Srinivasachary, Mike Gale, Bernard M. Gichimu, Khady Nani Dramé, Abdelbagi M. Ismail, Damaris A. Odeny, John M. Maingi and P. A. Opala and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

Mathews M. Dida

33 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathews M. Dida Kenya 13 570 236 106 95 93 35 700
Nithya Subramanian United States 13 653 1.1× 165 0.7× 91 0.9× 78 0.8× 102 1.1× 29 762
Dorcus C. Gemenet Kenya 15 556 1.0× 141 0.6× 59 0.6× 78 0.8× 75 0.8× 28 636
Vahdettin Çi̇ftçi̇ Türkiye 14 614 1.1× 120 0.5× 72 0.7× 98 1.0× 46 0.5× 59 692
Giuseppina Logozzo Italy 15 921 1.6× 97 0.4× 140 1.3× 71 0.7× 58 0.6× 29 1000
Gyula Vida Hungary 19 874 1.5× 171 0.7× 188 1.8× 92 1.0× 41 0.4× 79 951
Vilas A. Tonapi India 12 584 1.0× 200 0.8× 227 2.1× 106 1.1× 80 0.9× 72 810
José Lima‐Brito Portugal 18 716 1.3× 238 1.0× 42 0.4× 256 2.7× 91 1.0× 72 945
Paula Bramel India 16 947 1.7× 150 0.6× 124 1.2× 141 1.5× 55 0.6× 45 1.1k
Ralf Uptmoor Germany 19 747 1.3× 358 1.5× 269 2.5× 121 1.3× 111 1.2× 46 949
Patrizia Vaccino Italy 19 735 1.3× 156 0.7× 159 1.5× 103 1.1× 59 0.6× 51 885

Countries citing papers authored by Mathews M. Dida

Since Specialization
Citations

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

Fields of papers citing papers by Mathews M. Dida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathews M. Dida

This figure shows the co-authorship network connecting the top 25 collaborators of Mathews M. Dida. A scholar is included among the top collaborators of Mathews M. Dida 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 Mathews M. Dida. Mathews M. Dida 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.
Dhekney, Sadanand A., Simon Zebelo, Purushothaman Natarajan, et al.. (2025). Addressing global food security in Africa through training of next generation of researchers in plant pest diagnostics, in vitro culture, and clean plant production. In Vitro Cellular & Developmental Biology - Plant. 61(3). 535–544. 1 indexed citations
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Dida, Mathews M., et al.. (2023). Post‐attachment resistance to Striga hermonthica in finger millet ( Eleusine coracana ). Weed Research. 65(2). 1 indexed citations
5.
Barnes, Irene, et al.. (2021). Population genetic structure and migration patterns of the maize pathogenic fungus, Cercospora zeina in East and Southern Africa. Fungal Genetics and Biology. 149. 103527–103527. 8 indexed citations
6.
Makonde, Huxley Mae, Mathews M. Dida, P. A. Opala, et al.. (2018). Genetic diversity of symbiotic bacteria nodulating common bean (Phaseolus vulgaris) in western Kenya. PLoS ONE. 13(11). e0207403–e0207403. 18 indexed citations
7.
Qi, Peng, Dipnarayan Saha, Stephan Schröder, et al.. (2018). UGbS-Flex, a novel bioinformatics pipeline for imputation-free SNP discovery in polyploids without a reference genome: finger millet as a case study. BMC Plant Biology. 18(1). 117–117. 49 indexed citations
8.
Dida, Mathews M., P. A. Opala, Omwoyo Ombori, et al.. (2018). Effect of nitrogen sources on the yield of common bean ( Phaseolus vulgaris ) in western Kenya. Journal of Plant Nutrition. 41(13). 1652–1661. 11 indexed citations
9.
Kraberger, Simona, James Hadfield, Karyna Rosario, et al.. (2017). The role of Kenya in the trans-African spread of maize streak virus strain A. Virus Research. 232. 69–76. 11 indexed citations
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Odeny, Damaris A., Etienne P. de Villiers, Mathews M. Dida, et al.. (2016). Identification of SNP and SSR Markers in Finger Millet Using Next Generation Sequencing Technologies. PLoS ONE. 11(7). e0159437–e0159437. 55 indexed citations
12.
Villiers, Santie de, et al.. (2014). Genetic diversity and eco-geographical distribution of Eleusine species collected from Ethiopia.. TSpace. 22(1). 45–58. 5 indexed citations
13.
Dida, Mathews M., P. A. Opala, Omwoyo Ombori, et al.. (2014). Symbiotic Efficiency of Native Rhizobia Nodulating Common Bean (Phaseolus vulgaris L.) in Soils of Western Kenya. International Scholarly Research Notices. 2014. 1–8. 39 indexed citations
14.
Dida, Mathews M., et al.. (2010). Participatory consumer evaluation of twelve sweetpotato varieties in Kenya. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(11). 1600–1609. 7 indexed citations
15.
Gichimu, Bernard M., et al.. (2009). Morphological characterization of some wild and cultivated watermelon (Citrullus sp.) accessions in Kenya.. Journal of agricultural and biological science. 4(2). 10–18. 16 indexed citations
16.
Gichuki, S., et al.. (2008). Multi-location on-farm evaluation of sweet potato varieties for commercial and domestic use in South Western Kenya. East African Agricultural and Forestry Journal. 74. 127–138. 1 indexed citations
17.
Gichimu, Bernard M., et al.. (2008). Agronomic Performance of three most Popular Commercial Watermelon Cultivars in Kenya as Compared to one newly introduced cultivar and one local Landrace grown on Dystric Nitisols under Sub- Humid Tropical Conditions. 3. 65–71. 8 indexed citations
18.
Srinivasachary, Srinivasachary, Mathews M. Dida, Mike Gale, & Katrien M. Devos. (2007). Comparative analyses reveal high levels of conserved colinearity between the finger millet and rice genomes. Theoretical and Applied Genetics. 115(4). 489–499. 64 indexed citations
19.
Dida, Mathews M., et al.. (2006). The genetic map of finger millet, Eleusine coracana. Theoretical and Applied Genetics. 114(2). 321–332. 115 indexed citations
20.
Dida, Mathews M., Fulvio Ducci, & Gazmend Zeneli. (2001). Black pine (Pinus nigra Arn.) resources in Albania. MPG.PuRe (Max Planck Society). 29. 43–46. 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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