Innocent Ndyetabula

695 total citations
8 papers, 467 citations indexed

About

Innocent Ndyetabula is a scholar working on Plant Science, Insect Science and Agronomy and Crop Science. According to data from OpenAlex, Innocent Ndyetabula has authored 8 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Insect Science and 2 papers in Agronomy and Crop Science. Recurrent topics in Innocent Ndyetabula's work include Plant Virus Research Studies (6 papers), Nematode management and characterization studies (5 papers) and Insect-Plant Interactions and Control (5 papers). Innocent Ndyetabula is often cited by papers focused on Plant Virus Research Studies (6 papers), Nematode management and characterization studies (5 papers) and Insect-Plant Interactions and Control (5 papers). Innocent Ndyetabula collaborates with scholars based in Tanzania, Uganda and Democratic Republic of the Congo. Innocent Ndyetabula's co-authors include James P. Legg, S. Jeremiah, H. Bouwmeester, Geoffrey Mkamilo, H. Obiero, G. Gashaka, W. Tata-Hangy, Geoffrey Okao-Okuja, M. N. Maruthi and P. Lava Kumar and has published in prestigious journals such as Phytopathology, Virus Research and Plant Disease.

In The Last Decade

Innocent Ndyetabula

7 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Innocent Ndyetabula Tanzania	7	447	190	37	35	35	8	467
G. Gashaka Rwanda	7	415 0.9×	162 0.9×	26 0.7×	34 1.0×	30 0.9×	9	436
H. Obiero Kenya	8	419 0.9×	162 0.9×	24 0.6×	49 1.4×	29 0.8×	9	447
W. Tata-Hangy Democratic Republic of the Congo	5	354 0.8×	160 0.8×	22 0.6×	34 1.0×	28 0.8×	7	370
Rudolph R. Shirima Tanzania	11	403 0.9×	207 1.1×	25 0.7×	45 1.3×	30 0.9×	15	442
A. R. Rekha United Kingdom	11	441 1.0×	207 1.1×	24 0.6×	36 1.0×	22 0.6×	16	461
Habibu Mugerwa United States	11	305 0.7×	299 1.6×	13 0.4×	42 1.2×	8 0.2×	15	377
S. N. Alam Bangladesh	12	419 0.9×	280 1.5×	18 0.5×	82 2.3×	8 0.2×	20	491
Patricia Pinheiro Brazil	8	220 0.5×	139 0.7×	34 0.9×	36 1.0×	6 0.2×	22	253
Innocent Zinga Central African Republic	8	197 0.4×	50 0.3×	11 0.3×	25 0.7×	8 0.2×	34	216
John W. Gordy United States	7	341 0.8×	345 1.8×	23 0.6×	43 1.2×	10 0.3×	9	431

Countries citing papers authored by Innocent Ndyetabula

Since Specialization

Citations

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

Fields of papers citing papers by Innocent Ndyetabula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Innocent Ndyetabula

This figure shows the co-authorship network connecting the top 25 collaborators of Innocent Ndyetabula. A scholar is included among the top collaborators of Innocent Ndyetabula 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 Innocent Ndyetabula. Innocent Ndyetabula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Wosula, Everlyne N., et al.. (2025). Stem-cutting dipping in insecticides and biopesticide application for the control of Bemisia tabaci whitefly in cassava. Frontiers in Agronomy. 7.

Shirima, Rudolph R., James P. Legg, Silver Tumwegamire, et al.. (2020). Genotype by environment cultivar evaluation for cassava brown streak disease resistance in Tanzania. Virus Research. 286. 198017–198017. 25 indexed citations

Legg, James P., et al.. (2017). Community phytosanitation to manage cassava brown streak disease. Virus Research. 241. 236–253. 40 indexed citations

Ndyetabula, Innocent, et al.. (2016). Analysis of Interactions Between Cassava Brown Streak Disease Symptom Types Facilitates the Determination of Varietal Responses and Yield Losses. Plant Disease. 100(7). 1388–1396. 21 indexed citations

Jeremiah, S., Innocent Ndyetabula, Geoffrey Mkamilo, et al.. (2015). The Dynamics and Environmental Influence on Interactions Between Cassava Brown Streak Disease and the Whitefly, Bemisia tabaci. Phytopathology. 105(5). 646–655. 32 indexed citations

Legg, James P., Peter Sseruwagi, Geoffrey Okao-Okuja, et al.. (2013). Spatio-temporal patterns of genetic change amongst populations of cassava Bemisia tabaci whiteflies driving virus pandemics in East and Central Africa. Virus Research. 186. 61–75. 104 indexed citations

Ntawuruhunga, Pheneas, A. G. O. Dixon, Edward Kanju, et al.. (2013). Successful innovations and lessons learnt in cassava improvement and deployment by IITA in the Eastern African Region. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 11 indexed citations

Legg, James P., S. Jeremiah, H. Obiero, et al.. (2011). Comparing the regional epidemiology of the cassava mosaic and cassava brown streak virus pandemics in Africa. Virus Research. 159(2). 161–170. 234 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.

Explore authors with similar magnitude of impact