Xingliang Hou

5.6k total citations · 1 hit paper
51 papers, 3.9k citations indexed

About

Xingliang Hou is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Xingliang Hou has authored 51 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 29 papers in Molecular Biology and 6 papers in Insect Science. Recurrent topics in Xingliang Hou's work include Plant Molecular Biology Research (25 papers), Plant Reproductive Biology (14 papers) and Plant nutrient uptake and metabolism (9 papers). Xingliang Hou is often cited by papers focused on Plant Molecular Biology Research (25 papers), Plant Reproductive Biology (14 papers) and Plant nutrient uptake and metabolism (9 papers). Xingliang Hou collaborates with scholars based in China, Singapore and Australia. Xingliang Hou's co-authors include Hao Yu, Xu Liu, Chang Liu, Li Yen Candy Lee, Yuanyuan Yan, Kuaifei Xia, Lisha Shen, Lu Liu, Wanyan Xi and Yuge Li and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE.

In The Last Decade

Xingliang Hou

49 papers receiving 3.8k citations

Hit Papers

DELLAs Modulate Jasmonate Signaling via Competitive Bindi... 2010 2026 2015 2020 2010 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
Xingliang Hou China 28 3.3k 2.1k 279 161 153 51 3.9k
Marco Herde Germany 22 1.3k 0.4× 1.0k 0.5× 346 1.2× 146 0.9× 28 0.2× 40 1.9k
Jean‐Denis Faure France 31 2.0k 0.6× 2.1k 1.0× 63 0.2× 68 0.4× 62 0.4× 54 3.1k
Iain Searle Australia 29 4.7k 1.4× 3.1k 1.5× 100 0.4× 211 1.3× 42 0.3× 56 5.4k
Justin W. Walley United States 28 2.4k 0.7× 1.8k 0.9× 225 0.8× 91 0.6× 16 0.1× 61 3.3k
Stephen Chivasa United Kingdom 23 1.7k 0.5× 947 0.5× 87 0.3× 53 0.3× 48 0.3× 47 2.3k
Luz Irina A. Calderón Villalobos Germany 20 3.1k 1.0× 2.6k 1.2× 134 0.5× 157 1.0× 22 0.1× 24 3.7k
Anna K. Block United States 29 1.9k 0.6× 1.1k 0.5× 452 1.6× 261 1.6× 12 0.1× 62 2.8k
Kohki Yoshimoto Japan 29 3.6k 1.1× 2.4k 1.1× 43 0.2× 76 0.5× 67 0.4× 51 4.8k
Břetislav Brzobohatý Czechia 33 2.6k 0.8× 1.8k 0.9× 58 0.2× 117 0.7× 30 0.2× 95 3.2k
Chang Ho Kang South Korea 27 1.6k 0.5× 1.3k 0.6× 101 0.4× 56 0.3× 33 0.2× 77 2.4k

Countries citing papers authored by Xingliang Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xingliang Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingliang Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Xingliang Hou. A scholar is included among the top collaborators of Xingliang Hou 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 Xingliang Hou. Xingliang Hou 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.
Wu, Huan, Xingliang Hou, & Chunyu Zhang. (2025). Nuclear factor-Y transcription factors in crops: Biological roles, regulation, and breeding applications. Plant Communications. 6(11). 101530–101530.
2.
Ma, Zhiming, Danxia He, Xiao Han, et al.. (2024). Molecular condensation of the CO/NF-YB/NF-YC/FT complex gates floral transition in Arabidopsis. The EMBO Journal. 44(1). 225–250. 9 indexed citations
3.
4.
Yu, B. X., Yilong Hu, & Xingliang Hou. (2024). More than flowering: CONSTANS plays multifaceted roles in plant development and stress responses. Journal of Integrative Plant Biology. 67(3). 425–439. 8 indexed citations
5.
Zhang, Xiangbo, Chaochen Tang, Ming Li, et al.. (2024). Refining polyploid breeding in sweet potato through allele dosage enhancement. Nature Plants. 11(1). 36–48. 6 indexed citations
6.
Zeng, Lanting, Xiaochen Zhou, Xiumin Fu, et al.. (2023). Effect of the biosynthesis of the volatile compound phenylacetaldehyde on chloroplast modifications in tea (Camellia sinensis) plants. Horticulture Research. 10(3). uhad003–uhad003. 13 indexed citations
7.
Liu, Shu, et al.. (2023). Genetic mapping and functional genomics of soybean seed protein. Molecular Breeding. 43(4). 29–29. 12 indexed citations
8.
Yu, Bin, Xuemei He, Yang Tang, et al.. (2023). Photoperiod controls plant seed size in a CONSTANS-dependent manner. Nature Plants. 9(2). 343–354. 40 indexed citations
9.
Lv, Tianxiao, Lingshuang Wang, Chunyu Zhang, et al.. (2022). Identification of two quantitative genes controlling soybean flowering using bulked-segregant analysis and genetic mapping. Frontiers in Plant Science. 13. 987073–987073. 5 indexed citations
10.
Liu, Xu, Yaru Wang, Hongbo Zhu, et al.. (2022). Natural allelic variation confers high resistance to sweet potato weevils in sweet potato. Nature Plants. 8(11). 1233–1244. 24 indexed citations
11.
Li, Xiaoming, Chao Fang, Yongqing Yang, et al.. (2021). Overcoming the genetic compensation response of soybean florigens to improve adaptation and yield at low latitudes. Current Biology. 31(17). 3755–3767.e4. 51 indexed citations
12.
Yang, Yuhua, Xu Liu, Wenbin Zhang, et al.. (2021). Stress response proteins NRP1 and NRP2 are pro-survival factors that inhibit cell death during ER stress. PLANT PHYSIOLOGY. 187(3). 1414–1427. 16 indexed citations
13.
Liao, Yinyin, Lanting Zeng, Dachuan Gu, et al.. (2020). Induced biosynthesis of chlorogenic acid in sweetpotato leaves confers the resistance against sweetpotato weevil attack. Journal of Advanced Research. 24. 513–522. 35 indexed citations
14.
Li, Yuge, Yuhua Yang, Yilong Hu, et al.. (2019). DELLA and EDS1 Form a Feedback Regulatory Module to Fine-Tune Plant Growth–Defense Tradeoff in Arabidopsis. Molecular Plant. 12(11). 1485–1498. 64 indexed citations
15.
Sun, He, Qiao Zhu, Khi Pin Chua, et al.. (2018). Profilin Negatively Regulates Formin-Mediated Actin Assembly to Modulate PAMP-Triggered Plant Immunity. Current Biology. 28(12). 1882–1895.e7. 43 indexed citations
16.
Liu, Xu, Yuhua Yang, Yilong Hu, et al.. (2018). Temporal-Specific Interaction of NF-YC and CURLY LEAF during the Floral Transition Regulates Flowering. PLANT PHYSIOLOGY. 177(1). 105–114. 47 indexed citations
17.
Huang, Mingkun, Yilong Hu, Xu Liu, Yuge Li, & Xingliang Hou. (2015). Arabidopsis LEAFY COTYLEDON1 Mediates Postembryonic Development via Interacting with PHYTOCHROME-INTERACTING FACTOR4. The Plant Cell. 27(11). 3099–3111. 73 indexed citations
18.
Hou, Xingliang, Lihua Ding, & Hao Yu. (2013). Crosstalk between GA and JA signaling mediates plant growth and defense. Plant Cell Reports. 32(7). 1067–1074. 119 indexed citations
19.
Xi, Wanyan, Chang Liu, Xingliang Hou, & Hao Yu. (2010). MOTHER OF FT AND TFL1 Regulates Seed Germination through a Negative Feedback Loop Modulating ABA Signaling in Arabidopsis    . The Plant Cell. 22(6). 1733–1748. 295 indexed citations
20.
Hou, Xingliang, Li Yen Candy Lee, Kuaifei Xia, Yuanyuan Yan, & Hao Yu. (2010). DELLAs Modulate Jasmonate Signaling via Competitive Binding to JAZs. Developmental Cell. 19(6). 884–894. 597 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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