Haile Berihulay

576 total citations
10 papers, 387 citations indexed

About

Haile Berihulay is a scholar working on Genetics, Cancer Research and Cell Biology. According to data from OpenAlex, Haile Berihulay has authored 10 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Haile Berihulay's work include Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Cancer-related molecular mechanisms research (4 papers). Haile Berihulay is often cited by papers focused on Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Cancer-related molecular mechanisms research (4 papers). Haile Berihulay collaborates with scholars based in China, Sudan and United Kingdom. Haile Berihulay's co-authors include Yuehui Ma, Lin Jiang, Adam Abied, Gebremedhin Gebreselassie, Xiaohong He, Yefang Li, Xuexue Liu, Qing Ma, Yunlei Li and W. Liu and has published in prestigious journals such as PLoS ONE, Frontiers in Genetics and Genes.

In The Last Decade

Haile Berihulay

10 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haile Berihulay China 9 275 118 88 83 44 10 387
Adam Abied China 9 260 0.9× 117 1.0× 80 0.9× 90 1.1× 39 0.9× 11 384
Arianna Manunza Spain 15 375 1.4× 73 0.6× 63 0.7× 91 1.1× 78 1.8× 38 480
Mahlako L. Makgahlela South Africa 12 419 1.5× 85 0.7× 149 1.7× 59 0.7× 20 0.5× 32 465
Jayakumar Sivalingam India 14 371 1.3× 77 0.7× 137 1.6× 96 1.2× 64 1.5× 53 464
E Guangxin China 12 325 1.2× 64 0.5× 77 0.9× 109 1.3× 109 2.5× 76 432
İ̇brahim Cemal Türkiye 14 491 1.8× 172 1.5× 117 1.3× 45 0.5× 78 1.8× 48 614
Nina Moravčí­ková Slovakia 9 351 1.3× 108 0.9× 77 0.9× 64 0.8× 38 0.9× 97 408
Eva M. Strucken Australia 15 441 1.6× 95 0.8× 176 2.0× 99 1.2× 62 1.4× 28 521
Xiao Gou China 13 252 0.9× 60 0.5× 75 0.9× 128 1.5× 162 3.7× 29 467
Gabriele Marras Italy 12 641 2.3× 110 0.9× 137 1.6× 142 1.7× 48 1.1× 19 705

Countries citing papers authored by Haile Berihulay

Since Specialization
Citations

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

Fields of papers citing papers by Haile Berihulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haile Berihulay

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

All Works

10 of 10 papers shown
1.
Abied, Adam, Abulgasim Ahbara, Haile Berihulay, et al.. (2021). Genome Divergence and Dynamics in the Thin-Tailed Desert Sheep From Sudan. Frontiers in Genetics. 12. 659507–659507. 6 indexed citations
2.
Gebreselassie, Gebremedhin, Haile Berihulay, Adam Abied, et al.. (2021). Correction: Genomic mapping identifies two genetic variants in the MC1R gene for coat colour variation in Chinese Tan sheep. PLoS ONE. 16(1). e0245674–e0245674. 8 indexed citations
3.
Abied, Adam, Lei Xu, Feng Xing, et al.. (2020). Genome-Wide Analysis Revealed Homozygosity and Demographic History of Five Chinese Sheep Breeds Adapted to Different Environments. Genes. 11(12). 1480–1480. 20 indexed citations
4.
Gebreselassie, Gebremedhin, Haile Berihulay, Adam Abied, et al.. (2020). Genomic mapping identifies two genetic variants in the MC1R gene for coat colour variation in Chinese Tan sheep. PLoS ONE. 15(8). e0235426–e0235426. 17 indexed citations
5.
Li, Yefang, Xuexue Liu, Haile Berihulay, et al.. (2019). Genome-Wide Runs of Homozygosity, Effective Population Size, and Detection of Positive Selection Signatures in Six Chinese Goat Breeds. Genes. 10(11). 938–938. 53 indexed citations
6.
7.
Berihulay, Haile, Yefang Li, Gebremedhin Gebreselassie, et al.. (2019). Whole Genome Resequencing Reveals Selection Signatures Associated With Important Traits in Ethiopian Indigenous Goat Populations. Frontiers in Genetics. 10. 1190–1190. 17 indexed citations
8.
Berihulay, Haile, Yunlei Li, Gebremedhin Gebreselassie, et al.. (2019). Genetic diversity and population structure in multiple Chinese goat populations using a SNP panel. Animal Genetics. 50(3). 242–249. 32 indexed citations
9.
Berihulay, Haile, Adam Abied, Xiaohong He, Lin Jiang, & Yuehui Ma. (2019). Adaptation Mechanisms of Small Ruminants to Environmental Heat Stress. Animals. 9(3). 75–75. 143 indexed citations
10.
Gebreselassie, Gebremedhin, Haile Berihulay, Lin Jiang, & Yuehui Ma. (2019). Review on Genomic Regions and Candidate Genes Associated with Economically Important Production and Reproduction Traits in Sheep (Ovies aries). Animals. 10(1). 33–33. 73 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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2026