Habte Nida

456 total citations
23 papers, 261 citations indexed

About

Habte Nida is a scholar working on Agronomy and Crop Science, Genetics and Plant Science. According to data from OpenAlex, Habte Nida has authored 23 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 12 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Habte Nida's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Bioenergy crop production and management (10 papers) and Genetics and Plant Breeding (7 papers). Habte Nida is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Bioenergy crop production and management (10 papers) and Genetics and Plant Breeding (7 papers). Habte Nida collaborates with scholars based in Ethiopia, United States and South Africa. Habte Nida's co-authors include Tesfaye Mengiste, Gezahegn Girma, Amare Seyoum, Getachew Ayana, Tesfaye Tesso, Gebisa Ejeta, Alemu Tirfessa, Dagnachew Lule, Eyal Fridman and Sanghun Lee and has published in prestigious journals such as PLoS ONE, The Plant Journal and Frontiers in Microbiology.

In The Last Decade

Habte Nida

19 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Habte Nida Ethiopia 8 191 142 100 44 35 23 261
Amare Seyoum Ethiopia 8 176 0.9× 149 1.0× 108 1.1× 25 0.6× 28 0.8× 16 248
Paulo Rapazote-Flores United Kingdom 4 303 1.6× 123 0.9× 41 0.4× 81 1.8× 10 0.3× 5 335
Guowei Zhai China 8 288 1.5× 193 1.4× 81 0.8× 102 2.3× 7 0.2× 16 364
Sirjan Sapkota United States 9 128 0.7× 128 0.9× 79 0.8× 47 1.1× 8 0.2× 17 204
B. Cooper United States 7 382 2.0× 187 1.3× 25 0.3× 48 1.1× 37 1.1× 8 399
Kathy Esvelt Klos United States 11 247 1.3× 105 0.7× 36 0.4× 55 1.3× 12 0.3× 28 261
David Poulsen Australia 12 292 1.5× 108 0.8× 65 0.7× 42 1.0× 12 0.3× 14 329
Yongsheng Tao China 10 466 2.4× 195 1.4× 72 0.7× 112 2.5× 7 0.2× 27 520
Qiaoling Luo China 13 575 3.0× 93 0.7× 44 0.4× 67 1.5× 13 0.4× 23 594

Countries citing papers authored by Habte Nida

Since Specialization
Citations

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

Fields of papers citing papers by Habte Nida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habte Nida

This figure shows the co-authorship network connecting the top 25 collaborators of Habte Nida. A scholar is included among the top collaborators of Habte Nida 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 Habte Nida. Habte Nida 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.
2.
Nida, Habte, et al.. (2025). Environmental impact on grain quality in Ethiopian sorghum landraces. Journal of Agriculture and Food Research. 21. 101916–101916.
3.
4.
Shimelis, Hussein, Vinod Kumar Valluri, Habte Nida, et al.. (2025). Genetic structure of Ethiopian finger millet landraces and genome-wide association mapping for agronomic and nutritional traits. Theoretical and Applied Genetics. 138(6). 111–111.
5.
Nida, Habte, et al.. (2025). Genetics of sorghum: grain quality, molecular aspects, and drought responses. Planta. 261(3). 47–47. 1 indexed citations
6.
7.
Mekbib, Firew, Zelalem Bekeko, Gezahegn Girma, et al.. (2024). Genotype by environment interactions and stability for grain yield and other agronomic traits in selected sorghum genotypes in Ethiopia. Agrosystems Geosciences & Environment. 7(3). 5 indexed citations
8.
Altaye, Solomon Zewdu, et al.. (2024). Empowering Smallholder Sorghum Farmers for Resilience: Lessons from a Community-Based Seed Multiplication Scheme in West Hararghe, Ethiopia. Agriculture Forestry and Fisheries. 13(4). 116–125. 1 indexed citations
9.
Girma, Gezahegn, Firew Mekbib, Habte Nida, et al.. (2024). Exploring the genetic basis of anthracnose resistance in Ethiopian sorghum through a genome-wide association study. BMC Genomics. 25(1). 677–677. 3 indexed citations
10.
Girma, Gezahegn, Alemu Tirfessa, Amare Seyoum, et al.. (2024). Assessing genetic, racial, and geographic diversity among Ethiopian sorghum landraces and implications for heterotic potential for hybrid sorghum breeding. Molecular Breeding. 44(7). 46–46. 2 indexed citations
11.
Tesfaye, Kassahun, Tesfaye Mengiste, Alemayehu Chala, et al.. (2024). Pathotype determination of sorghum anthracnose (Colletotrichum sublineola) isolates from Ethiopia using sorghum differentials. Frontiers in Microbiology. 15. 1458450–1458450. 2 indexed citations
12.
Nida, Habte, Gezahegn Girma, Alemu Tirfessa, et al.. (2021). Genome-wide association analysis reveals seed protein loci as determinants of variations in grain mold resistance in sorghum. Theoretical and Applied Genetics. 134(4). 1167–1184. 28 indexed citations
13.
Nida, Habte, Sanghun Lee, Ying Li, & Tesfaye Mengiste. (2021). Transcriptome analysis of early stages of sorghum grain mold disease reveals defense regulators and metabolic pathways associated with resistance. BMC Genomics. 22(1). 295–295. 15 indexed citations
14.
Lule, Dagnachew, et al.. (2021). Evaluation of selected Ethiopian sorghum genotypes for resistance to anthracnose. European Journal of Plant Pathology. 162(1). 79–91. 4 indexed citations
15.
Girma, Gezahegn, Habte Nida, Alemu Tirfessa, et al.. (2020). A comprehensive phenotypic and genomic characterization of Ethiopian sorghum germplasm defines core collection and reveals rich genetic potential in adaptive traits. The Plant Genome. 13(3). e20055–e20055. 28 indexed citations
16.
Seyoum, Amare, et al.. (2020). Multi-environment trial and spatial analysis for yield performance of sorghum [Sorghum bicolor (L.) Moench] hybrids in dry lowland sorghum growing areas of Ethiopia. Journal of Plant Breeding and Crop Science. 12(4). 275–284. 3 indexed citations
17.
Girma, Gezahegn, Habte Nida, Amare Seyoum, et al.. (2019). A Large-Scale Genome-Wide Association Analyses of Ethiopian Sorghum Landrace Collection Reveal Loci Associated With Important Traits. Frontiers in Plant Science. 10. 691–691. 73 indexed citations
18.
Fox, Glen, et al.. (2019). Evaluation of variation in Ethiopian sorghum injera quality with new imaging techniques. Cereal Chemistry. 97(2). 362–372. 7 indexed citations
19.
Nida, Habte, S. Blum, Dina Zielinski, et al.. (2016). Highly efficient de novo mutant identification in a Sorghum bicolor TILLING population using the ComSeq approach. The Plant Journal. 86(4). 349–359. 16 indexed citations
20.
Kilian, Benjamin, et al.. (2012). Heterotic Trait Locus (HTL) Mapping Identifies Intra-Locus Interactions That Underlie Reproductive Hybrid Vigor in Sorghum bicolor. PLoS ONE. 7(6). e38993–e38993. 22 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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