George Mahuku

5.0k total citations
95 papers, 3.3k citations indexed

About

George Mahuku is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, George Mahuku has authored 95 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Plant Science, 33 papers in Cell Biology and 15 papers in Molecular Biology. Recurrent topics in George Mahuku's work include Plant Pathogens and Fungal Diseases (33 papers), Plant Pathogenic Bacteria Studies (30 papers) and Banana Cultivation and Research (21 papers). George Mahuku is often cited by papers focused on Plant Pathogens and Fungal Diseases (33 papers), Plant Pathogenic Bacteria Studies (30 papers) and Banana Cultivation and Research (21 papers). George Mahuku collaborates with scholars based in Tanzania, Uganda and Mexico. George Mahuku's co-authors include B. M. Prasanna, Carlos Jara‐Gutiérrez, Rony Swennen, Paul H. Goodwin, Raman Babu, Dan Makumbi, Stephen Beebe, H. W. Platt, José Crossa and Vijay Chaikam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

George Mahuku

93 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Mahuku Tanzania 36 3.0k 787 662 449 243 95 3.3k
Jiasui Zhan China 36 3.8k 1.3× 574 0.7× 1.4k 2.1× 756 1.7× 248 1.0× 125 4.3k
Belén Picó Spain 38 3.6k 1.2× 1.7k 2.1× 244 0.4× 1.1k 2.5× 392 1.6× 152 4.3k
Bingyan Xie China 33 2.6k 0.9× 530 0.7× 460 0.7× 1000 2.2× 407 1.7× 122 3.3k
P. Lindhout Netherlands 43 4.5k 1.5× 858 1.1× 656 1.0× 1.2k 2.6× 192 0.8× 107 4.9k
Richard C. Pratt United States 22 1.6k 0.5× 584 0.7× 159 0.2× 398 0.9× 162 0.7× 68 2.0k
Gary C. Bergstrom United States 32 3.5k 1.2× 238 0.3× 2.0k 3.0× 553 1.2× 137 0.6× 144 3.9k
Mohsen Mardi Iran 26 1.5k 0.5× 420 0.5× 188 0.3× 462 1.0× 95 0.4× 102 2.0k
Didier Andrivon France 33 2.8k 0.9× 225 0.3× 1.0k 1.6× 479 1.1× 70 0.3× 119 3.0k
Frank Ordon Germany 34 3.8k 1.3× 836 1.1× 115 0.2× 615 1.4× 218 0.9× 214 4.1k
W. W. Bockus United States 26 2.4k 0.8× 198 0.3× 947 1.4× 320 0.7× 92 0.4× 76 2.6k

Countries citing papers authored by George Mahuku

Since Specialization
Citations

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

Fields of papers citing papers by George Mahuku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Mahuku

This figure shows the co-authorship network connecting the top 25 collaborators of George Mahuku. A scholar is included among the top collaborators of George Mahuku 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 George Mahuku. George Mahuku 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.
Inoue, Yoshihiro, Sirlaine Albino Paes, George Mahuku, et al.. (2025). Population Genomics Reveals Distinct Lineage of the Asian Soybean Rust Fungus Phakopsora pachyrhizi in the United States of America Unrelated to Brazilian Populations. Molecular Plant Pathology. 26(8). e70135–e70135.
2.
Mahuku, George, et al.. (2024). Potential Impact of Current Agricultural Practices on Mycotoxin Occurrence and Mycotoxin Knowledge Along the Cassava Value Chain in Uganda. Journal of Food Protection. 87(9). 100340–100340. 1 indexed citations
3.
4.
Okonya, Joshua Sikhu, et al.. (2023). Influence of altitude as a proxy for temperature on key Musa pests and diseases in watershed areas of Burundi and Rwanda. Heliyon. 9(3). e13854–e13854. 9 indexed citations
5.
6.
Akello, Juliet, Alejandro Ortega‐Beltran, Joseph Atehnkeng, et al.. (2021). Prevalence of Aflatoxin- and Fumonisin-Producing Fungi Associated with Cereal Crops Grown in Zimbabwe and Their Associated Risks in a Climate Change Scenario. Foods. 10(2). 287–287. 34 indexed citations
7.
Mahuku, George, et al.. (2021). First Report of Banana Bunchy Top Virus in Banana and Plantain (Musa spp.) in Tanzania. Plant Disease. 106(4). 1312–1312. 15 indexed citations
8.
Beed, Fenton, Martin Kimanya, O. Mponda, et al.. (2021). Aflatoxin contamination in Tanzania: quantifying the problem in maize and groundnuts from rural households. World Mycotoxin Journal. 14(4). 553–564. 32 indexed citations
9.
Logrieco, Antonio, Paola Battilani, Marco Camardo Leggieri, et al.. (2020). Perspectives on Global Mycotoxin Issues and Management From the MycoKey Maize Working Group. Plant Disease. 105(3). 525–537. 68 indexed citations
10.
Soares, R. M., et al.. (2020). Diversity and distribution of pathotypes of the soybean rust fungus Phakopsora pachyrhizi in East Africa. Plant Pathology. 70(3). 655–666. 7 indexed citations
11.
Wicker, Emmanuel, et al.. (2018). A highly specific tool for identification of Xanthomonas vasicola pv. musacearum based on five Xvm-specific coding sequences. Heliyon. 4(12). e01080–e01080. 10 indexed citations
12.
Mahuku, George, et al.. (2018). Pre-harvest management is a critical practice for minimizing aflatoxin contamination of maize. Food Control. 96. 219–226. 86 indexed citations
13.
Mahuku, George, et al.. (2018). Dissection of mechanisms of resistance toAspergillus flavus and aflatoxin using tropical maize germplasm. World Mycotoxin Journal. 11(2). 215–224. 4 indexed citations
14.
Zheng, Hongjian, Jiafa Chen, Chunhua Mu, et al.. (2018). Combined linkage and association mapping reveal QTL for host plant resistance to common rust (Puccinia sorghi) in tropical maize. BMC Plant Biology. 18(1). 310–310. 19 indexed citations
15.
Nair, Sudha, Raman Babu, Cosmos Magorokosho, et al.. (2015). Fine mapping of Msv1, a major QTL for resistance to Maize Streak Virus leads to development of production markers for breeding pipelines. Theoretical and Applied Genetics. 128(9). 1839–1854. 40 indexed citations
16.
Terán, Henry, Carlos Jara‐Gutiérrez, George Mahuku, Stephen Beebe, & Shree P. Singh. (2012). Simultaneous selection for resistance to five bacterial, fungal, and viral diseases in three Andean × Middle American inter-gene pool common bean populations. Euphytica. 189(2). 283–292. 12 indexed citations
17.
Mahuku, George, et al.. (2010). Molecular identification and characterization of Colletotrichum spp isolates from tahiti lime, tamarillo, and mango. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Mahuku, George, María Antonia Henríquez, Carmenza Montoya, et al.. (2010). Inheritance and development of molecular markers linked to angular leaf spot resistance genes in the common bean accession G10909. Molecular Breeding. 28(1). 57–71. 22 indexed citations
19.
Mahuku, George, Carmenza Montoya, María Antonia Henríquez, et al.. (2004). Inheritance and Characterization of Angular Leaf Spot Resistance Gene Present in Common Bean Accession G 10474 and Identification of an AFLP Marker Linked to the Resistance Gene. Crop Science. 44(5). 1817–1824. 34 indexed citations
20.
Buruchara, Robin, et al.. (2002). Inheritance and transfer of root rot (Pythium) resistance to bean varieties. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 3 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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