Weiru Yang

1.8k total citations
32 papers, 1.0k citations indexed

About

Weiru Yang is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Weiru Yang has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Weiru Yang's work include Plant Gene Expression Analysis (18 papers), Plant Molecular Biology Research (16 papers) and Plant Reproductive Biology (12 papers). Weiru Yang is often cited by papers focused on Plant Gene Expression Analysis (18 papers), Plant Molecular Biology Research (16 papers) and Plant Reproductive Biology (12 papers). Weiru Yang collaborates with scholars based in China, Belgium and United States. Weiru Yang's co-authors include Tangren Cheng, Qixiang Zhang, Huitang Pan, Jia Wang, Dongliang Du, Zongda Xu, Lidan Sun, Yuzhen Zhou, Qixiang Zhang and Jia Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Weiru Yang

32 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiru Yang China 22 801 751 83 57 52 32 1.0k
Tangchun Zheng China 17 749 0.9× 689 0.9× 113 1.4× 40 0.7× 66 1.3× 64 1.0k
Sagheer Ahmad China 17 680 0.8× 622 0.8× 85 1.0× 28 0.5× 144 2.8× 76 922
Tianhong Li China 25 1.0k 1.3× 1.3k 1.7× 184 2.2× 24 0.4× 40 0.8× 58 1.6k
Xiaoming Yang China 17 479 0.6× 637 0.8× 26 0.3× 182 3.2× 44 0.8× 50 868
Ming Cai China 15 305 0.4× 290 0.4× 37 0.4× 47 0.8× 87 1.7× 40 467
Hideaki Yaegaki Japan 21 751 0.9× 976 1.3× 123 1.5× 33 0.6× 253 4.9× 56 1.1k
Jiajun Lei China 15 318 0.4× 442 0.6× 25 0.3× 60 1.1× 78 1.5× 56 592
Yuntong Jiao China 14 455 0.6× 574 0.8× 15 0.2× 19 0.3× 19 0.4× 19 725

Countries citing papers authored by Weiru Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weiru Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiru Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiru Yang. A scholar is included among the top collaborators of Weiru 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 Weiru Yang. Weiru Yang 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.
Liu, Hongliang, Aiping Wang, Weiru Yang, et al.. (2022). Expression of extracellular domain of ASFV CD2v protein in mammalian cells and identification of B cell epitopes. Virus Research. 323. 199000–199000. 6 indexed citations
2.
Bao, Fei, Tengxun Zhang, Weiru Yang, et al.. (2020). Screening of optimal reference genes for qRT-PCR and preliminary exploration of cold resistance mechanisms in Prunus mume and Prunus sibirica varieties. Molecular Biology Reports. 47(9). 6635–6647. 12 indexed citations
3.
Bao, Fei, Tengxun Zhang, Weiru Yang, et al.. (2020). Metabolic, Enzymatic Activity, and Transcriptomic Analysis Reveals the Mechanism Underlying the Lack of Characteristic Floral Scent in Apricot Mei Varieties. Frontiers in Plant Science. 11. 574982–574982. 11 indexed citations
4.
Han, Yu, Yong Xue, Jiayao Yu, et al.. (2019). Identification of Candidate Adaxial–Abaxial-Related Genes Regulating Petal Expansion During Flower Opening in Rosa chinensis “Old Blush”. Frontiers in Plant Science. 10. 1098–1098. 12 indexed citations
5.
Han, Yu, Huihua Wan, Tengxun Zhang, et al.. (2018). An APETALA2 Homolog, RcAP2, Regulates the Number of Rose Petals Derived From Stamens and Response to Temperature Fluctuations. Frontiers in Plant Science. 9. 481–481. 22 indexed citations
6.
Zhao, Kai, Yuzhen Zhou, Sagheer Ahmad, et al.. (2018). Comprehensive Cloning of Prunus mume Dormancy Associated MADS-Box Genes and Their Response in Flower Bud Development and Dormancy. Frontiers in Plant Science. 9. 17–17. 37 indexed citations
7.
Bao, Fei, Dongliang Du, An Yang, et al.. (2017). Overexpression of Prunus mume Dehydrin Genes in Tobacco Enhances Tolerance to Cold and Drought. Frontiers in Plant Science. 8. 151–151. 76 indexed citations
8.
Zhao, Kai, Weiru Yang, Yuzhen Zhou, et al.. (2017). Comparative Transcriptome Reveals Benzenoid Biosynthesis Regulation as Inducer of Floral Scent in the Woody Plant Prunus mume. Frontiers in Plant Science. 8. 319–319. 30 indexed citations
9.
Han, Yu, Huihua Wan, Tangren Cheng, et al.. (2017). Comparative RNA-seq analysis of transcriptome dynamics during petal development in Rosa chinensis. Scientific Reports. 7(1). 43382–43382. 52 indexed citations
10.
Zhou, Yuzhen, Zongda Xu, Yong Xue, et al.. (2017). SEP-class genes in Prunus mume and their likely role in floral organ development. BMC Plant Biology. 17(1). 10–10. 32 indexed citations
11.
Li, Yushu, Zongda Xu, Weiru Yang, et al.. (2016). Isolation and Functional Characterization of SOC1-like Genes in Prunus mume. Journal of the American Society for Horticultural Science. 141(4). 315–326. 10 indexed citations
12.
13.
Zhou, Yuzhen, Zongda Xu, Kai Zhao, et al.. (2016). Genome-Wide Identification, Characterization and Expression Analysis of the TCP Gene Family in Prunus mume. Frontiers in Plant Science. 7. 1301–1301. 37 indexed citations
14.
Yang, Weiru, et al.. (2015). Genome-wide Identification and Characterization of the DELLA Subfamily in Prunus mume. Journal of the American Society for Horticultural Science. 140(3). 223–232. 6 indexed citations
15.
Xu, Zongda, Lidan Sun, Yuzhen Zhou, et al.. (2015). Identification and expression analysis of the SQUAMOSA promoter-binding protein (SBP)-box gene family in Prunus mume. Molecular Genetics and Genomics. 290(5). 1701–1715. 65 indexed citations
16.
Hao, Ruijie, Qin Zhang, Weiru Yang, et al.. (2014). Emitted and endogenous floral scent compounds of Prunus mume and hybrids. Biochemical Systematics and Ecology. 54. 23–30. 25 indexed citations
17.
Xu, Zongda, Qixiang Zhang, Lidan Sun, et al.. (2014). Genome-wide identification, characterisation and expression analysis of the MADS-box gene family in Prunus mume. Molecular Genetics and Genomics. 289(5). 903–920. 87 indexed citations
18.
Sun, Lidan, Qixiang Zhang, Zongda Xu, et al.. (2013). Genome-wide DNA polymorphisms in two cultivars of mei (Prunus mumesieb. et zucc.). BMC Genetics. 14(1). 98–98. 25 indexed citations
19.
Sun, Lidan, Weiru Yang, Qixiang Zhang, et al.. (2013). Genome-Wide Characterization and Linkage Mapping of Simple Sequence Repeats in Mei (Prunus mume Sieb. et Zucc.). PLoS ONE. 8(3). e59562–e59562. 44 indexed citations
20.
Du, Dongliang, Qixiang Zhang, Tangren Cheng, et al.. (2012). Genome-wide identification and analysis of late embryogenesis abundant (LEA) genes in Prunus mume. Molecular Biology Reports. 40(2). 1937–1946. 91 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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