Yong Xiang

3.5k total citations · 1 hit paper
38 papers, 2.5k citations indexed

About

Yong Xiang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Yong Xiang has authored 38 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 18 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Yong Xiang's work include Seed Germination and Physiology (12 papers), Plant Molecular Biology Research (12 papers) and Plant tissue culture and regeneration (5 papers). Yong Xiang is often cited by papers focused on Seed Germination and Physiology (12 papers), Plant Molecular Biology Research (12 papers) and Plant tissue culture and regeneration (5 papers). Yong Xiang collaborates with scholars based in China, Germany and United States. Yong Xiang's co-authors include Lizhong Xiong, Wim J. J. Soppe, Ning Tang, Haiyan Ye, Hao Du, Guillaume Née, Kazumi Nakabayashi, Katharina Kramer, Iris Finkemeier and Bingjian Yuan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yong Xiang

36 papers receiving 2.4k citations

Hit Papers

Characterization of OsbZIP23 as a Key Player of the Basic... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Xiang China 20 2.0k 1.3k 150 119 65 38 2.5k
Akihiro Matsui Japan 29 2.5k 1.3× 1.7k 1.4× 130 0.9× 39 0.3× 25 0.4× 78 3.2k
Yangrong Cao China 30 3.1k 1.6× 1.0k 0.8× 85 0.6× 31 0.3× 48 0.7× 67 3.6k
Taku Takahashi Japan 36 3.8k 1.9× 3.5k 2.8× 109 0.7× 84 0.7× 85 1.3× 87 4.6k
Christian Chevalier France 31 2.4k 1.2× 1.8k 1.4× 125 0.8× 30 0.3× 54 0.8× 60 2.7k
Miki Nakazawa Japan 24 2.2k 1.1× 1.8k 1.4× 139 0.9× 26 0.2× 45 0.7× 71 2.9k
Young-Hoon Park South Korea 20 1.0k 0.5× 547 0.4× 344 2.3× 37 0.3× 73 1.1× 132 1.6k
Jie Zhao China 26 1.9k 1.0× 1.6k 1.2× 292 1.9× 16 0.1× 66 1.0× 111 2.5k
Jian Zhu China 19 1.0k 0.5× 819 0.6× 57 0.4× 47 0.4× 42 0.6× 49 1.5k
Jean‐Denis Faure France 31 2.0k 1.0× 2.1k 1.7× 69 0.5× 25 0.2× 83 1.3× 54 3.1k
Luz Irina A. Calderón Villalobos Germany 20 3.1k 1.6× 2.6k 2.0× 54 0.4× 36 0.3× 39 0.6× 24 3.7k

Countries citing papers authored by Yong Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yong Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Xiang. A scholar is included among the top collaborators of Yong Xiang 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 Yong Xiang. Yong Xiang 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.
Xiang, Yong, et al.. (2024). Genomic prediction of yield-related traits and genome-based establishment of heterotic pattern in maize hybrid breeding of Southwest China. Frontiers in Plant Science. 15. 1441555–1441555. 7 indexed citations
3.
Zhao, Sheng, Yue Wang, Peng Chen, et al.. (2024). Streamlined whole-genome genotyping through NGS-enhanced thermal asymmetric interlaced (TAIL)-PCR. Plant Communications. 5(9). 100983–100983. 3 indexed citations
5.
Chen, Xi, Ling Ding, Xiong Xiong, et al.. (2023). The MKK3–MPK7 cascade phosphorylates ERF4 and promotes its rapid degradation to release seed dormancy in Arabidopsis. Molecular Plant. 16(11). 1743–1758. 13 indexed citations
6.
Yang, Huan, Xiaoli Ren, Bo Hu, et al.. (2023). Genome-Wide Identification and Characterization of the PP2C Family from Zea mays and Its Role in Long-Distance Signaling. Plants. 12(17). 3153–3153. 6 indexed citations
7.
Zhang, Junqin, Yanlin Pan, Linlin Li, et al.. (2023). Prevalence, genomic characteristics, and pathogenicity of fowl adenovirus 2 in Southern China. Poultry Science. 103(1). 103177–103177. 8 indexed citations
8.
Jia, Xuhui, et al.. (2022). Histone Modification and Chromatin Remodeling During the Seed Life Cycle. Frontiers in Plant Science. 13. 865361–865361. 22 indexed citations
9.
Xiang, Yong, et al.. (2022). Surfactant regulated synthesis of ZIF-8 crystals as carbonic anhydrase-mimicking nanozyme. Colloids and Surfaces A Physicochemical and Engineering Aspects. 648. 129103–129103. 18 indexed citations
10.
Liu, Fei, Hui Zhang, Ling Ding, Wim J. J. Soppe, & Yong Xiang. (2020). REVERSAL OF RDO5 1, a Homolog of Rice Seed Dormancy4, Interacts with bHLH57 and Controls ABA Biosynthesis and Seed Dormancy in Arabidopsis. The Plant Cell. 32(6). 1933–1948. 58 indexed citations
11.
Deng, Chao, et al.. (2019). Pramipexole Inhibits MPP+-Induced Neurotoxicity by miR-494-3p/BDNF. Neurochemical Research. 45(2). 268–277. 21 indexed citations
13.
Née, Guillaume, Katharina Kramer, Kazumi Nakabayashi, et al.. (2017). DELAY OF GERMINATION1 requires PP2C phosphatases of the ABA signalling pathway to control seed dormancy. Nature Communications. 8(1). 72–72. 189 indexed citations
14.
Xiang, Yong, Khanita Karaveg, & Kelley W. Moremen. (2016). Substrate recognition and catalysis by GH47 α-mannosidases involved in Asn-linked glycan maturation in the mammalian secretory pathway. Proceedings of the National Academy of Sciences. 113(49). E7890–E7899. 28 indexed citations
15.
Tang, Ning, Siqi Ma, Wei Zong, et al.. (2016). MODD Mediates Deactivation and Degradation of OsbZIP46 to Negatively Regulate ABA Signaling and Drought Resistance in Rice. The Plant Cell. 28(9). 2161–2177. 129 indexed citations
16.
Xiang, Yong, Baoxing Song, Guillaume Née, et al.. (2016). Sequence Polymorphisms at the REDUCED DORMANCY5 Pseudophosphatase Underlie Natural Variation in Arabidopsis Dormancy. PLANT PHYSIOLOGY. 171(4). 2659–2670. 49 indexed citations
17.
Wang, Zhi, Fengying Chen, Xiaoying Li, et al.. (2016). Arabidopsis seed germination speed is controlled by SNL histone deacetylase-binding factor-mediated regulation of AUX1. Nature Communications. 7(1). 13412–13412. 86 indexed citations
18.
Meng, Lu, F. Forouhar, David F. Thieker, et al.. (2013). Enzymatic Basis for N-Glycan Sialylation. Journal of Biological Chemistry. 288(48). 34680–34698. 113 indexed citations
19.
Zhu, Yanping, M.D.L. Suits, Andrew J. Thompson, et al.. (2009). Mechanistic insights into a Ca2+-dependent family of α-mannosidases in a human gut symbiont. Nature Chemical Biology. 6(2). 125–132. 109 indexed citations
20.
Xiang, Yong, Ning Tang, Hao Du, Haiyan Ye, & Lizhong Xiong. (2008). Characterization of OsbZIP23 as a Key Player of the Basic Leucine Zipper Transcription Factor Family for Conferring Abscisic Acid Sensitivity and Salinity and Drought Tolerance in Rice  . PLANT PHYSIOLOGY. 148(4). 1938–1952. 524 indexed citations breakdown →

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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