W. Tata-Hangy

589 total citations
7 papers, 370 citations indexed

About

W. Tata-Hangy is a scholar working on Plant Science, Insect Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, W. Tata-Hangy has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 3 papers in Insect Science and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in W. Tata-Hangy's work include Plant Virus Research Studies (4 papers), Cassava research and cyanide (3 papers) and Nematode management and characterization studies (3 papers). W. Tata-Hangy is often cited by papers focused on Plant Virus Research Studies (4 papers), Cassava research and cyanide (3 papers) and Nematode management and characterization studies (3 papers). W. Tata-Hangy collaborates with scholars based in Democratic Republic of the Congo, Tanzania and Uganda. W. Tata-Hangy's co-authors include James P. Legg, H. Obiero, G. Gashaka, Innocent Ndyetabula, Geoffrey Okao-Okuja, S. Jeremiah, Geoffrey Mkamilo, P. Lava Kumar, Titus Alicai and M. N. Maruthi and has published in prestigious journals such as Journal of the Science of Food and Agriculture, Virus Research and Plant Disease.

In The Last Decade

W. Tata-Hangy

7 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. Tata-Hangy Democratic Republic of the Congo	5	354	160	34	28	22	7	370
Innocent Ndyetabula Tanzania	7	447 1.3×	190 1.2×	35 1.0×	35 1.3×	37 1.7×	8	467
G. Gashaka Rwanda	7	415 1.2×	162 1.0×	34 1.0×	30 1.1×	26 1.2×	9	436
H. Obiero Kenya	8	419 1.2×	162 1.0×	49 1.4×	29 1.0×	24 1.1×	9	447
Rudolph R. Shirima Tanzania	11	403 1.1×	207 1.3×	45 1.3×	30 1.1×	25 1.1×	15	442
A. R. Rekha United Kingdom	11	441 1.2×	207 1.3×	36 1.1×	22 0.8×	24 1.1×	16	461
Habibu Mugerwa United States	11	305 0.9×	299 1.9×	42 1.2×	8 0.3×	13 0.6×	15	377
Innocent Zinga Central African Republic	8	197 0.6×	50 0.3×	25 0.7×	8 0.3×	11 0.5×	34	216
Patricia Pinheiro Brazil	8	220 0.6×	139 0.9×	36 1.1×	6 0.2×	34 1.5×	22	253
N. Gimenes-Fernandes Brazil	8	266 0.8×	91 0.6×	23 0.7×	15 0.5×	10 0.5×	12	286
Saptarshi Ghosh Israel	10	298 0.8×	268 1.7×	42 1.2×	15 0.5×	3 0.1×	24	361

Countries citing papers authored by W. Tata-Hangy

Since Specialization

Citations

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

Fields of papers citing papers by W. Tata-Hangy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Tata-Hangy. 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 W. Tata-Hangy. The network helps show where W. Tata-Hangy may publish in the future.

Co-authorship network of co-authors of W. Tata-Hangy

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

All Works

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7 of 7 papers shown

Kehbila, Anderson Gwanyebit, et al.. (2021). Screening cassava for time of maturity to respond to various market needs: Case study in African sub‐tropical zones. Journal of the Science of Food and Agriculture. 102(8). 3169–3178. 4 indexed citations

Tata-Hangy, W., et al.. (2020). Optimum Time for Harvesting Cassava Tubers to Reduce Losses Due to Cassava Brown Streak Disease in Northeastern DRC. Journal of Agricultural Science. 12(5). 70–70. 3 indexed citations

Shirima, Rudolph R., et al.. (2020). Expansion of the Cassava Brown Streak Disease Epidemic in Eastern Democratic Republic of Congo. Plant Disease. 105(8). 2177–2188. 12 indexed citations

Hanna, Rachid, Maurice Tindo, W. Tata-Hangy, et al.. (2019). Geographic distribution and abundance of the Afrotropical subterranean scale insectStictococcus vayssierei(Hemiptera: Stictococcidae), a pest of root and tuber crops in the Congo basin. Bulletin of Entomological Research. 110(2). 293–301. 2 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.

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