Teshale Assefa

1.3k total citations
34 papers, 818 citations indexed

About

Teshale Assefa is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Teshale Assefa has authored 34 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 5 papers in Agronomy and Crop Science and 4 papers in Genetics. Recurrent topics in Teshale Assefa's work include Plant pathogens and resistance mechanisms (16 papers), Genetics and Plant Breeding (10 papers) and Agricultural pest management studies (9 papers). Teshale Assefa is often cited by papers focused on Plant pathogens and resistance mechanisms (16 papers), Genetics and Plant Breeding (10 papers) and Agricultural pest management studies (9 papers). Teshale Assefa collaborates with scholars based in United States, Colombia and Tanzania. Teshale Assefa's co-authors include Steven B. Cannon, Idupulapati M. Rao, Asheesh K. Singh, Jiaoping Zhang, Baskar Ganapathysubramanian, Soumik Sarkar, Hsiang Sing Naik, Anne V. Brown, Matthew W. Blair and Arti Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Teshale Assefa

32 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teshale Assefa United States 14 722 123 86 84 66 34 818
Yuefeng Ruan Canada 16 674 0.9× 114 0.9× 49 0.6× 125 1.5× 56 0.8× 67 746
Gregorio Alvarado Mexico 13 780 1.1× 182 1.5× 89 1.0× 391 4.7× 71 1.1× 18 874
Yilin Zhou China 17 839 1.2× 62 0.5× 56 0.7× 54 0.6× 68 1.0× 57 892
K. S. Hooda India 14 557 0.8× 67 0.5× 19 0.2× 116 1.4× 43 0.7× 49 604
Goro Ishikawa Japan 14 777 1.1× 82 0.7× 75 0.9× 142 1.7× 75 1.1× 37 840
Carlos H. Galeano Colombia 14 588 0.8× 88 0.7× 23 0.3× 61 0.7× 65 1.0× 20 633
Jiaoping Zhang United States 18 1.2k 1.6× 60 0.5× 137 1.6× 231 2.8× 104 1.6× 37 1.3k
М. А. Генаев Russia 10 307 0.4× 51 0.4× 55 0.6× 37 0.4× 54 0.8× 38 368
Aris Hairmansis Indonesia 12 411 0.6× 23 0.2× 52 0.6× 90 1.1× 53 0.8× 56 485
Dinesh Kumar Saini India 18 1.0k 1.4× 175 1.4× 50 0.6× 407 4.8× 100 1.5× 55 1.1k

Countries citing papers authored by Teshale Assefa

Since Specialization
Citations

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

Fields of papers citing papers by Teshale Assefa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teshale Assefa

This figure shows the co-authorship network connecting the top 25 collaborators of Teshale Assefa. A scholar is included among the top collaborators of Teshale Assefa 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 Teshale Assefa. Teshale Assefa 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.
Assefa, Teshale, et al.. (2025). Consumer traits of common beans: a global and regional perspective on seed coat darkening, cooking time, protein, and mineral content. Frontiers in Nutrition. 12. 1658338–1658338. 1 indexed citations
2.
3.
Selvaraj, Michael Gomez, et al.. (2024). Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI. Scientific Reports. 14(1). 15596–15596. 14 indexed citations
4.
Güereña, Davíd, et al.. (2024). Participatory AI for inclusive crop improvement. Agricultural Systems. 220. 104054–104054. 2 indexed citations
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6.
7.
Werner, Christian R., Mainassara Zaman‐Allah, Teshale Assefa, Jill E. Cairns, & G. N. Atlin. (2024). Accelerating genetic gain through early-stage on-farm sparse testing. Trends in Plant Science. 30(1). 17–20. 4 indexed citations
8.
Etten, Jacob van, Kauê de Sousa, Jill E. Cairns, et al.. (2023). Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products. Proceedings of the National Academy of Sciences. 120(14). e2205771120–e2205771120. 21 indexed citations
9.
Assefa, Teshale, et al.. (2023). Chemical composition and antibacterial activity of essential oils from selected species of the genus Cucumis in Ethiopia. Bulletin of the Chemical Society of Ethiopia. 37(3). 703–715. 2 indexed citations
10.
Assefa, Teshale, et al.. (2022). Pathogenicity and Approaches for Management of Anthracnose in Common Bean (Phaseolus vulgaris) in Africa. International Journal of Agriculture and Biology. 28(4).
11.
Assefa, Teshale, Jiaoping Zhang, R. Chowda-Reddy, et al.. (2020). Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches. BMC Plant Biology. 20(1). 42–42. 35 indexed citations
12.
Parmley, Kyle, et al.. (2019). Identification and Genetic Characterization of Soybean Accessions Exhibiting Antibiosis and Antixenosis Resistance to Aphis glycines (Hemiptera: Aphididae). Journal of Economic Entomology. 112(3). 1428–1438. 12 indexed citations
13.
Swaminathan, Sivakumar, Anindya Bijoy Das, Teshale Assefa, et al.. (2019). Genome wide association study identifies novel single nucleotide polymorphic loci and candidate genes involved in soybean sudden death syndrome resistance. PLoS ONE. 14(2). e0212071–e0212071. 10 indexed citations
14.
Wilkey, Andrew, Teshale Assefa, Ye Chu, et al.. (2019). Evaluation of linkage disequilibrium, population structure, and genetic diversity in the U.S. peanut mini core collection. BMC Genomics. 20(1). 481–481. 57 indexed citations
15.
Assefa, Teshale, et al.. (2019). Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean. BMC Genomics. 20(1). 527–527. 57 indexed citations
16.
Blair, Matthew W., Andrés J. Cortés, Andrew Farmer, et al.. (2018). Uneven recombination rate and linkage disequilibrium across a reference SNP map for common bean (Phaseolus vulgaris L.). PLoS ONE. 13(3). e0189597–e0189597. 45 indexed citations
17.
Brown, Anne V., Jacqueline Campbell, Teshale Assefa, et al.. (2018). Ten quick tips for sharing open genomic data. PLoS Computational Biology. 14(12). e1006472–e1006472. 8 indexed citations
18.
Naik, Hsiang Sing, Jiaoping Zhang, Teshale Assefa, et al.. (2017). A real-time phenotyping framework using machine learning for plant stress severity rating in soybean. Plant Methods. 13(1). 23–23. 142 indexed citations
19.
Assefa, Teshale, Jixiang Wu, & Arvid Boe. (2015). Genetic Variation for Achene Traits in Cup Plant (<i>Silphium perfoliatum</i> L.). 5(2). 71–82. 4 indexed citations
20.
Assefa, Teshale, Jixiang Wu, Kenneth A. Albrecht, Paul J. Johnson, & Arvid Boe. (2015). Genetic Variation for Biomass and Related Morphological Traits in Cup Plant (<i>Silphium perfoliatum</i> L.). American Journal of Plant Sciences. 6(8). 1098–1108. 12 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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