Efrem Bechere

766 total citations
53 papers, 561 citations indexed

About

Efrem Bechere is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Efrem Bechere has authored 53 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 8 papers in Agronomy and Crop Science and 4 papers in Soil Science. Recurrent topics in Efrem Bechere's work include Research in Cotton Cultivation (39 papers), Wheat and Barley Genetics and Pathology (9 papers) and Genetics and Plant Breeding (9 papers). Efrem Bechere is often cited by papers focused on Research in Cotton Cultivation (39 papers), Wheat and Barley Genetics and Pathology (9 papers) and Genetics and Plant Breeding (9 papers). Efrem Bechere collaborates with scholars based in United States, Ethiopia and Sweden. Efrem Bechere's co-authors include Tesfaye Tesemma, D. L. Auld, Linghe Zeng, Eric Héquet, Gurja Belay, Hirut Kebede, Arnulf Merker, R. G. Cantrell, David D. Fang and Gregory N. Thyssen and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Genomics.

In The Last Decade

Efrem Bechere

53 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Efrem Bechere United States 14 530 96 53 52 43 53 561
Mian Faisal Nazir China 12 307 0.6× 37 0.4× 71 1.3× 44 0.8× 16 0.4× 42 363
Robert R. Bridge United States 10 415 0.8× 63 0.7× 27 0.5× 24 0.5× 74 1.7× 23 431
Haoran Shi China 12 279 0.5× 49 0.5× 60 1.1× 102 2.0× 12 0.3× 33 347
Muhammad Yasir China 11 232 0.4× 63 0.7× 47 0.9× 31 0.6× 17 0.4× 23 279
Ashok Kumar Are India 7 340 0.6× 116 1.2× 44 0.8× 122 2.3× 20 0.5× 11 409
H. S. Pereira Brazil 19 1.0k 1.9× 126 1.3× 38 0.7× 61 1.2× 30 0.7× 116 1.0k
C.V. Sameer Kumar India 14 637 1.2× 59 0.6× 82 1.5× 103 2.0× 19 0.4× 75 684
M. I. E. Arabi Syria 12 631 1.2× 45 0.5× 112 2.1× 56 1.1× 13 0.3× 105 679
I. S. Khairwal India 12 305 0.6× 79 0.8× 31 0.6× 82 1.6× 40 0.9× 25 364
Aamir Riaz China 8 325 0.6× 95 1.0× 98 1.8× 91 1.8× 20 0.5× 24 389

Countries citing papers authored by Efrem Bechere

Since Specialization
Citations

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

Fields of papers citing papers by Efrem Bechere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Efrem Bechere

This figure shows the co-authorship network connecting the top 25 collaborators of Efrem Bechere. A scholar is included among the top collaborators of Efrem Bechere 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 Efrem Bechere. Efrem Bechere 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.
Bechere, Efrem, D. L. Auld, C. Wayne Smith, et al.. (2020). Registration of six upland cotton germplasm lines with improved fiber quality through ethyl methane sulfonate treatments and selection. Journal of Plant Registrations. 14(2). 159–164. 1 indexed citations
2.
Fang, David D., Linghe Zeng, Gregory N. Thyssen, et al.. (2020). Stability and transferability assessment of the cotton fiber strength QTL qFS-c7-1 on chromosome A07. The Crop Journal. 9(2). 380–386. 8 indexed citations
3.
Bechere, Efrem, David D. Fang, & Marina Naoumkina. (2020). A New Ligon-Lintless Mutant (liy) in Upland Cotton. ˜The œjournal of cotton science/Journal of cotton science. 24(4). 168–174. 1 indexed citations
4.
Mishra, Deepika, Efrem Bechere, C. Wayne Smith, et al.. (2019). Cotton (Gossypium hirsutum L.) mutants with reduced levels of palmitic acid (C16:0) in seed lipids. Euphytica. 215(6). 7 indexed citations
5.
Fang, David D., Marina Naoumkina, Gregory N. Thyssen, et al.. (2019). An EMS-induced mutation in a tetratricopeptide repeat-like superfamily protein gene (Ghir_A12G008870) on chromosome A12 is responsible for the liy short fiber phenotype in cotton. Theoretical and Applied Genetics. 133(1). 271–282. 16 indexed citations
6.
Naoumkina, Marina, Efrem Bechere, David D. Fang, Gregory N. Thyssen, & Christopher B. Florane. (2017). Genome-wide analysis of gene expression of EMS-induced short fiber mutant Ligon lintless-y (li) in cotton (Gossypium hirsutum L.). Genomics. 109(3-4). 320–329. 10 indexed citations
7.
Bechere, Efrem, David D. Fang, Hirut Kebede, et al.. (2017). Quantitative trait loci analysis for net ginning energy requirements in upland cotton (Gossypium hirsutum L.). Euphytica. 213(7). 3 indexed citations
8.
Bechere, Efrem, Linghe Zeng, & Robert G. Hardin. (2016). Relationships of Lint Yield and Fiber Quality with Ginning Rate and Net Ginning Energy in Upland Cotton (Gossypium hirsutum L.). ˜The œjournal of cotton science/Journal of cotton science. 20(1). 31–39. 1 indexed citations
9.
Zeng, Linghe, B. Todd Campbell, Efrem Bechere, et al.. (2015). Genotypic and environmental effects on cottonseed oil, nitrogen, and gossypol contents in 18 years of regional high quality tests. Euphytica. 206(3). 815–824. 17 indexed citations
10.
Bechere, Efrem, et al.. (2013). Registration of Mutant Population MD 15 M4 Gossypium hirsutum L. with Enhanced Fiber Quality. Journal of Plant Registrations. 7(2). 216–219. 3 indexed citations
11.
Bechere, Efrem, et al.. (2012). Cotton Genotype Differences in Fiber-Seed Attachment Force. ˜The œjournal of cotton science/Journal of cotton science. 5 indexed citations
12.
Zeng, Linghe, Jixiang Wu, & Efrem Bechere. (2012). Genetic effects and genetic values of fiber properties in F2 and F3 hybrids between germplasm lines and high yield cultivars. Euphytica. 190(3). 459–469. 3 indexed citations
13.
Bechere, Efrem, et al.. (2011). Evaluation of cotton genotypes for ginning energy and ginning rate.. ˜The œjournal of cotton science/Journal of cotton science. 15(1). 11–21. 17 indexed citations
14.
Auld, D. L., Efrem Bechere, Robert Wright, et al.. (2007). Use of chemical mutagenesis in improving upland cotton.. 3 indexed citations
15.
Bechere, Efrem, et al.. (2004). Phenotypic diversity of tetraploid wheat landraces from northern and north-central regions of Ethiopia. Hereditas. 124(2). 165–172. 45 indexed citations
16.
Johnson, Phillip, et al.. (2002). Profitability of Short Season Cotton Genotypes on the High Plains of Texas. 15. 7–14. 10 indexed citations
17.
Nelson, Lenis Alton, et al.. (2000). Association of lodging and some morpho-agronomic traits in tef [Eragrostis tef (Zucc.) Trotter].. Tropical Agriculture. 77(3). 169–173. 9 indexed citations
18.
Bechere, Efrem, et al.. (1999). Interrelationships of grain yield, lodging and agronomic traits in tef, Eragrostis tef.. Tropical Science. 39(2). 63–69. 9 indexed citations
19.
20.
Tesemma, Tesfaye, et al.. (1995). Natural and human selection for purple-grain tetraploid wheats in the Ethiopian highlands. Genetic Resources and Crop Evolution. 42(4). 387–391. 42 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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