Jimmy Lamo

419 total citations
45 papers, 271 citations indexed

About

Jimmy Lamo is a scholar working on Plant Science, Genetics and General Agricultural and Biological Sciences. According to data from OpenAlex, Jimmy Lamo has authored 45 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 9 papers in Genetics and 7 papers in General Agricultural and Biological Sciences. Recurrent topics in Jimmy Lamo's work include Rice Cultivation and Yield Improvement (22 papers), GABA and Rice Research (13 papers) and Plant Pathogenic Bacteria Studies (11 papers). Jimmy Lamo is often cited by papers focused on Rice Cultivation and Yield Improvement (22 papers), GABA and Rice Research (13 papers) and Plant Pathogenic Bacteria Studies (11 papers). Jimmy Lamo collaborates with scholars based in Uganda, Ivory Coast and Kenya. Jimmy Lamo's co-authors include Richard Edema, Hussein Shimelis, Julia Sibiya, Godfrey Asea, Nasser Yao, A. Șimon, Mildred Ochwo‐Ssemakula, Paul Gibson, Kazuki Saito and Jean‐Martial Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Crop Science.

In The Last Decade

Jimmy Lamo

41 papers receiving 245 citations

Peers

Jimmy Lamo
Jimmy Lamo
Citations per year, relative to Jimmy Lamo Jimmy Lamo (= 1×) peers R. B. Thapa

Countries citing papers authored by Jimmy Lamo

Since Specialization
Citations

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

Fields of papers citing papers by Jimmy Lamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimmy Lamo

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Lamo. A scholar is included among the top collaborators of Jimmy Lamo 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 Jimmy Lamo. Jimmy Lamo 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.
Karungi, J., et al.. (2023). Mode of inheritance of rice resistance to African rice gall midge. African Crop Science Journal. 31(4). 407–416.
3.
Senthilkumar, Kalimuthu, Jonne Rodenburg, Ibnou Dieng, et al.. (2020). Quantifying rice yield gaps and their causes in Eastern and Southern Africa. Journal of Agronomy and Crop Science. 206(4). 478–490. 42 indexed citations
4.
Lamo, Jimmy, et al.. (2020). The mutual study of the Ugandan and Rostov rice varieties. SHILAP Revista de lepidopterología. 45–50.
5.
Șimon, A., et al.. (2020). Farmers’ Knowledge and Management of Rice Diseases in Uganda. Journal of Agricultural Science. 12(12). 221–221. 2 indexed citations
6.
Lamo, Jimmy, et al.. (2020). Rice Blast Prevalence in Smallholder Rice Farmlands in Uganda. Journal of Agricultural Science. 12(10). 105–105. 1 indexed citations
7.
Zhang, Rongrong, et al.. (2020). Volatile Organic Compound Based Markers for the Aroma Trait of Rice Grain. Journal of Agricultural Science. 12(8). 92–92. 5 indexed citations
8.
Tukamuhabwa, Phinehas, et al.. (2018). Evaluation of Rice Germplasm Reveals Sources of Bacterial Leaf Streak Disease Resistance in Uganda. 6(4). 163–169. 6 indexed citations
9.
10.
Ochwo‐Ssemakula, Mildred, et al.. (2017). Inheritance of resistance to brown spot disease in upland rice in Uganda. Journal of Plant Breeding and Crop Science. 9(4). 37–44. 4 indexed citations
11.
Șimon, A., et al.. (2016). Farmer’s Knowledge and Perceptions on Rice Insect Pests and Their Management in Uganda. Agriculture. 6(3). 38–38. 9 indexed citations
12.
Edema, Richard, et al.. (2016). The reaction of intraspecific and interspecific rice cultivars for resistance to rice yellow mottle virus disease. European Journal of Experimental Biology. 6(3). 5 indexed citations
14.
Lamo, Jimmy, et al.. (2016). Improved open-sun drying method for local swamp rice in Uganda. Uganda Journal of Agricultural Sciences. 16(2). 219–219. 1 indexed citations
15.
Singh, R. K., et al.. (2013). Rice breeding activities in eastern and southern Africa.. SABRAO Journal of Breeding and Genetics. 45(1). 73–83. 8 indexed citations
16.
Lamo, Jimmy, et al.. (2012). Reaction of rice cultivars to a virulent Rice Yellow Mottle Virus strain in Uganda.. TSpace. 20(1). 51–57. 9 indexed citations
17.
Asea, Godfrey, et al.. (2012). Genetic analysis of resistance to rice bacterial blight in Uganda. TSpace (University of Toronto). 20(1). 105–112. 10 indexed citations
18.
Tusiime, G., Godfrey Asea, P. R. Rubaihayo, et al.. (2010). Genetics of resistance to bacterial leaf blight in rice germplasm in Uganda. 511–514. 1 indexed citations
19.
Lamo, Jimmy, et al.. (2010). Inheritance of resistance to rice yellow mottle virus disease in selected rice cultivars in Uganda.. 469–474. 2 indexed citations
20.
Lamo, Jimmy, et al.. (2007). Breeding for drought tolerance and grain threshability in upland rice in Uganda: selection of parents from interspecific and intraspecific lines.. 1885–1891. 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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