Xukui Yang

1.2k total citations
10 papers, 86 citations indexed

About

Xukui Yang is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Xukui Yang has authored 10 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Cancer Research. Recurrent topics in Xukui Yang's work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers) and MicroRNA in disease regulation (3 papers). Xukui Yang is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers) and MicroRNA in disease regulation (3 papers). Xukui Yang collaborates with scholars based in China, United States and Mongolia. Xukui Yang's co-authors include Zhuying Wei, Chunling Bai, Guangpeng Li, Lei Yang, Yan Zhang, Chunling Gong, Yan Chen, Xiujuan Chen, Yu Wang and Yang Lv and has published in prestigious journals such as Fertility and Sterility, Scientific Data and Genetics Research.

In The Last Decade

Xukui Yang

10 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xukui Yang China	5	36	29	27	17	14	10	86
Ruimin Xu China	5	223 6.2×	18 0.6×	8 0.3×	15 0.9×	6 0.4×	8	273
Brittany L. Daughtry United States	7	121 3.4×	17 0.6×	6 0.2×	18 1.1×	16 1.1×	10	242
Masahito Irie Japan	6	88 2.4×	16 0.6×	5 0.2×	8 0.5×	7 0.5×	7	140
Kimberly C. Olney United States	7	58 1.6×	15 0.5×	13 0.5×	5 0.3×	1 0.1×	11	127
Tammy Kammin United Kingdom	5	58 1.6×	6 0.2×	3 0.1×	11 0.6×	6 0.4×	5	115
Rui R. Catarino Austria	3	239 6.6×	18 0.6×	4 0.1×	13 0.8×	4 0.3×	7	258
Sarita Paranjpe Netherlands	3	94 2.6×	8 0.3×		10 0.6×	8 0.6×	3	115
Xingchao Song China	6	37 1.0×	9 0.3×		16 0.9×	37 2.6×	15	89
Jennifer R. Gruhn Denmark	8	171 4.8×	9 0.3×	5 0.2×	13 0.8×	44 3.1×	11	288
Elias R. Ruiz-Morales Germany	5	274 7.6×	10 0.3×	4 0.1×	12 0.7×	11 0.8×	6	302

Countries citing papers authored by Xukui Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xukui Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xukui Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Gao, Peng, Xukui Yang, Meng Li, et al.. (2025). Telomere-to-telomere genome of common bean (Phaseolus vulgaris L., YP4). GigaScience. 14. 1 indexed citations

2.

Wang, Haigang, Junjie Wang, Chunhai Chen, et al.. (2024). A complete reference genome of broomcorn millet. Scientific Data. 11(1). 657–657. 2 indexed citations

3.

Li, Meng, Chunhai Chen, Haigang Wang, et al.. (2024). Telomere-to-telomere genome assembly of sorghum. Scientific Data. 11(1). 835–835. 6 indexed citations

4.

Chai, Zhi, Xukui Yang, Ake Liu, et al.. (2024). Chromosome-scale genome assembly of Astragalus membranaceus using PacBio and Hi-C technologies. Scientific Data. 11(1). 1071–1071. 4 indexed citations

5.

Chen, Chunhai, Junwei Cao, Shaoyin Fu, et al.. (2024). A near complete genome assembly of the East Friesian sheep genome. Scientific Data. 11(1). 762–762. 2 indexed citations

6.

Gao, Guangqi, Meng Xu, Chunling Bai, et al.. (2018). Comparative genomics and transcriptomics of Chrysolophus provide insights into the evolution of complex plumage coloration. GigaScience. 7(10). 22 indexed citations

7.

Wang, Yonghong, Xukui Yang, Yuanyuan Yang, et al.. (2015). High-throughput deep screening and identification of four peripheral leucocyte microRNAs as novel potential combination biomarkers for preeclampsia. Journal of Perinatology. 36(4). 263–267. 10 indexed citations

8.

Wang, Yu, Yang Lv, Chunling Gong, et al.. (2015). MicroRNAome in decidua: a new approach to assess the maintenance of pregnancy. Fertility and Sterility. 103(4). 980–989.e6. 28 indexed citations

9.

Hu, Xiaoxiao, Xin Fu, Xukui Yang, et al.. (2015). Multiomic analysis of mice epilepsy models suggest that miR-21a expression modulates mRNA and protein levels related to seizure deterioration. Genetics Research. 97. e22–e22. 7 indexed citations

10.

Bai, Haihua, Xukui Yang, Narisu Narisu, et al.. (2014). A rare novel mutation in TECTA causes autosomal dominant nonsyndromic hearing loss in a Mongolian family. BMC Medical Genetics. 15(1). 34–34. 4 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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