Nemera Shargie

593 total citations
25 papers, 374 citations indexed

About

Nemera Shargie is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Nemera Shargie has authored 25 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 11 papers in Agronomy and Crop Science and 6 papers in Genetics. Recurrent topics in Nemera Shargie's work include Bioenergy crop production and management (8 papers), Genetics and Plant Breeding (8 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Nemera Shargie is often cited by papers focused on Bioenergy crop production and management (8 papers), Genetics and Plant Breeding (8 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Nemera Shargie collaborates with scholars based in South Africa, United Kingdom and Zimbabwe. Nemera Shargie's co-authors include Maryke Labuschagne, Angeline van Biljon, Abe Shegro Gerrano, Stephen Chivasa, Rudo Ngara, Adrian P. Brown, Hussein Shimelis, Ian Cummins, W.S. Jansen van Rensburg and S.L. Venter and has published in prestigious journals such as Scientific Reports, Journal of Cereal Science and Euphytica.

In The Last Decade

Nemera Shargie

24 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nemera Shargie South Africa 11 299 119 68 65 48 25 374
P. E. de O. Guimarães Brazil 12 380 1.3× 138 1.2× 138 2.0× 33 0.5× 27 0.6× 42 470
K. N. Ganapathy India 12 339 1.1× 98 0.8× 116 1.7× 73 1.1× 60 1.3× 30 429
Prakash Gangashetty India 13 350 1.2× 69 0.6× 80 1.2× 52 0.8× 56 1.2× 53 426
A. B. Obilana Kenya 8 234 0.8× 146 1.2× 88 1.3× 61 0.9× 39 0.8× 22 314
Sube Singh India 13 456 1.5× 77 0.6× 79 1.2× 30 0.5× 58 1.2× 26 511
B. Venkatesh Bhat India 8 243 0.8× 80 0.7× 73 1.1× 29 0.4× 42 0.9× 22 345
Z. Stehno Czechia 12 444 1.5× 144 1.2× 128 1.9× 34 0.5× 53 1.1× 46 504
C. A. Erickson United States 6 310 1.0× 119 1.0× 55 0.8× 59 0.9× 33 0.7× 13 366
Nasrein Mohamed Kamal Sudan 10 299 1.0× 120 1.0× 89 1.3× 22 0.3× 18 0.4× 28 355
Sutkhet Nakasathien Thailand 11 265 0.9× 58 0.5× 18 0.3× 33 0.5× 33 0.7× 31 324

Countries citing papers authored by Nemera Shargie

Since Specialization
Citations

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

Fields of papers citing papers by Nemera Shargie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nemera Shargie

This figure shows the co-authorship network connecting the top 25 collaborators of Nemera Shargie. A scholar is included among the top collaborators of Nemera Shargie 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 Nemera Shargie. Nemera Shargie 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.
Shargie, Nemera, et al.. (2024). Regulation of Proline Accumulation and Protein Secretion in Sorghum under Combined Osmotic and Heat Stress. Plants. 13(13). 1874–1874. 4 indexed citations
2.
Biljon, Angeline van, et al.. (2023). Combining ability estimates for quality and non-quality protein maize inbred lines for grain yield, agronomic, and quality traits. Frontiers in Sustainable Food Systems. 7. 1 indexed citations
3.
Biljon, Angeline van, et al.. (2022). Identifying Quality Protein Maize Inbred Lines for Improved Nutritional Value of Maize in Southern Africa. Foods. 11(7). 898–898. 8 indexed citations
4.
Biljon, Angeline van, et al.. (2022). Heritability and Associations among Grain Yield and Quality Traits in Quality Protein Maize (QPM) and Non-QPM Hybrids. Plants. 11(6). 713–713. 19 indexed citations
5.
Biljon, Angeline van, et al.. (2022). Does the quality protein maize trait cause hybrid yield losses? A case study in Southern Africa. Euphytica. 218(7). 1 indexed citations
6.
Shargie, Nemera, et al.. (2022). Phenotypic Variation of Sorghum Accessions for Grain Yield and Quality Traits. Agronomy. 12(12). 3089–3089. 2 indexed citations
7.
Shargie, Nemera, et al.. (2021). The Application of CRISPR/Cas9 Technology in the Management of Genetic and Nongenetic Plant Traits. International Journal of Agronomy. 2021. 1–9. 3 indexed citations
8.
9.
Shargie, Nemera, et al.. (2021). Genetic diversity in sorghum (Sorghum bicolor L. Moench) accessions using SNP based Kompetitive allele-specific (KASP) markers. Australian Journal of Crop Science. 890–898. 5 indexed citations
10.
Shargie, Nemera, et al.. (2020). Comparative physiological and root proteome analyses of two sorghum varieties responding to water limitation. Scientific Reports. 10(1). 11835–11835. 69 indexed citations
11.
Shargie, Nemera, et al.. (2020). Assessment of genetic diversity in sorghum germplasm using agro-morphological traits. South African Journal of Plant and Soil. 37(5). 376–388. 7 indexed citations
12.
Shimelis, Hussein, et al.. (2019). Genetic variability, heritability and genetic gain for quantitative traits in South African sorghum genotypes. Australian Journal of Crop Science. 13(1). 1–10. 16 indexed citations
13.
Ngara, Rudo, et al.. (2018). Identifying differentially expressed proteins in sorghum cell cultures exposed to osmotic stress. Scientific Reports. 8(1). 8671–8671. 31 indexed citations
14.
Shimelis, Hussein, et al.. (2017). Sorghum [Sorghum bicolor (L.) Moench] breeding for resistance to leaf and stalk anthracnose, Colletotrichum sublineolum, and improved yield: Progress and prospects. Australian Journal of Crop Science. 11(9). 1078–1085. 12 indexed citations
15.
Shargie, Nemera, et al.. (2016). Bird damage and control strategies in grain Sorghum produciton. 2 indexed citations
16.
Ng’uni, Dickson, Nemera Shargie, Staffan Andersson, Angeline van Biljon, & Maryke Labuschagne. (2016). Genetic variation and trait associations of yield, protein and grain micronutrients for identification of promising sorghum varieties. Cereal Research Communications. 44(4). 681–693. 7 indexed citations
17.
Gerrano, Abe Shegro, Maryke Labuschagne, Angeline van Biljon, & Nemera Shargie. (2014). Genetic variability among sorghum accessions for seed starch and stalk total sugar content. Scientia Agricola. 71(6). 472–479. 18 indexed citations
18.
Labuschagne, Maryke, et al.. (2013). Assessment of genetic diversity in sorghum accessions using amplified fragment length polymorphism (AFLP) analysis. AFRICAN JOURNAL OF BIOTECHNOLOGY. 12(11). 1178–1188. 3 indexed citations
19.
Shargie, Nemera, et al.. (2013). Multivariate Analysis of Nutritional Diversity in Sorghum Landrace Accessions from Western Ethiopia. Journal of Biological Sciences. 13(2). 67–74. 19 indexed citations
20.
Shargie, Nemera, et al.. (2012). Diversity in starch, protein and mineral composition of sorghum landrace accessions from Ethiopia. Journal of Crop Science and Biotechnology. 15(4). 275–280. 49 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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