Xiaosan Huang

5.1k total citations · 1 hit paper
57 papers, 2.6k citations indexed

About

Xiaosan Huang is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Xiaosan Huang has authored 57 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 39 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Xiaosan Huang's work include Plant Stress Responses and Tolerance (27 papers), Plant Gene Expression Analysis (23 papers) and Plant-Microbe Interactions and Immunity (15 papers). Xiaosan Huang is often cited by papers focused on Plant Stress Responses and Tolerance (27 papers), Plant Gene Expression Analysis (23 papers) and Plant-Microbe Interactions and Immunity (15 papers). Xiaosan Huang collaborates with scholars based in China, United States and New Zealand. Xiaosan Huang's co-authors include Shaoling Zhang, Jihong Liu, Caihua Xing, Xuejun Chen, Qian Zhang, Kongqing Li, Wei Wang, Cong Jin, Liangyi Zhao and Huizhen Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cell and Bioinformatics.

In The Last Decade

Xiaosan Huang

56 papers receiving 2.6k citations

Hit Papers

Reciprocal Regulation of the TOR Kinase and ABA Receptor ... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Reciprocal Regulation of the TOR Kinase and ABA Receptor Balances Plant Growth and Stress Response
    2017 401 citations Xiaosan Huang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaosan Huang China 27 2.2k 1.7k 73 72 67 57 2.6k
Pierre Frasse France 22 2.0k 0.9× 1.5k 0.9× 105 1.4× 91 1.3× 40 0.6× 27 2.4k
Yunxie Wei China 31 2.4k 1.1× 1.1k 0.7× 56 0.8× 53 0.7× 121 1.8× 79 2.7k
Giorgia Batelli Italy 20 2.1k 1.0× 1.4k 0.8× 122 1.7× 138 1.9× 49 0.7× 32 2.6k
Aaron M. Rashotte United States 33 3.6k 1.6× 2.5k 1.5× 80 1.1× 67 0.9× 58 0.9× 65 3.9k
Yongfeng Guo China 27 3.5k 1.6× 2.9k 1.7× 84 1.2× 87 1.2× 38 0.6× 75 4.0k
Giacomo Novi Italy 23 2.3k 1.0× 896 0.5× 49 0.7× 67 0.9× 77 1.1× 27 2.6k
Dongtao Ren China 30 2.9k 1.3× 1.8k 1.1× 41 0.6× 47 0.7× 194 2.9× 54 3.3k
Benedetto Ruperti Italy 32 2.3k 1.0× 1.3k 0.8× 127 1.7× 120 1.7× 187 2.8× 79 2.7k

Countries citing papers authored by Xiaosan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosan Huang. A scholar is included among the top collaborators of Xiaosan Huang 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 Xiaosan Huang. Xiaosan Huang 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.
Yan, Wei, Jingfang Shi, Xiaoxia Xie, et al.. (2025). Transcriptome sequence reveal the roles of MaGME777 and MabHLH770 in drought tolerance in Musa acuminata. Plant Science. 356. 112495–112495. 1 indexed citations
2.
Xing, Caihua, et al.. (2025). Pyrus pyrifolia WRKY31 activates the ribosomal protein gene RPL12 to confer black spot resistance. Plant Science. 356. 112487–112487. 1 indexed citations
3.
Wang, Xin, Keke Zhao, Zhihua Xie, et al.. (2024). PbERF2-like interacts with PbNPR1 while enhancing the resistance of pear to Alternaria alternata. Scientia Horticulturae. 337. 113525–113525.
4.
Yang, Xiaoping, Keke Zhao, Qi-Liang Chen, et al.. (2024). Integrated transcriptome sequencing and iTRAQ quantitative proteomics analysis reveal the roles of PpJAZ1 and PpMYC2-2 in sand pear black spot disease resistance. Scientia Horticulturae. 327. 112840–112840. 1 indexed citations
5.
Chen, Qiming, et al.. (2023). E3 ubiquitin ligase PbrATL18 is a positive factor in pear resistance to drought and Colletotrichum fructicola infection. Horticultural Plant Journal. 10(3). 698–712. 13 indexed citations
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Chen, Qiming, Huizhen Dong, Qionghou Li, et al.. (2023). PbrChiA: a key chitinase of pear in response to Botryosphaeria dothidea infection by interacting with PbrLYK1b2 and down-regulating ROS accumulation. Horticulture Research. 10(10). uhad188–uhad188. 8 indexed citations
8.
Ma, Ming, Qiming Chen, Huizhen Dong, Shaoling Zhang, & Xiaosan Huang. (2021). Genome-wide identification and expression analysis of the bZIP transcription factors, and functional analysis in response to drought and cold stresses in pear (Pyrus breschneideri). BMC Plant Biology. 21(1). 583–583. 36 indexed citations
9.
Yu, Chunmei, Ming Yan, Huizhen Dong, et al.. (2020). Maize bHLH55 functions positively in salt tolerance through modulation of AsA biosynthesis by directly regulating GDP-mannose pathway genes. Plant Science. 302. 110676–110676. 41 indexed citations
10.
Li, Xiaolong, Shutian Tao, Shuwei Wei, et al.. (2018). The mining and evolutionary investigation of AP2/ERF genes in pear (Pyrus). BMC Plant Biology. 18(1). 46–46. 49 indexed citations
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Wang, Lifen, Xiaoxiao Qi, Xiaosan Huang, et al.. (2016). Overexpression of sucrose transporter gene PbSUT2 from Pyrus bretschneideri , enhances sucrose content in Solanum lycopersicum fruit. Plant Physiology and Biochemistry. 105. 150–161. 40 indexed citations
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Huang, Xiaosan, et al.. (2015). Overexpression of PbDHAR2 from Pyrus sinkiangensis in Transgenic Tomato Confers Enhanced Tolerance to Salt and Chilling Stresses. HortScience. 50(6). 789–796. 13 indexed citations
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Huang, Xiaosan, Kongqing Li, Cong Jin, & Shaoling Zhang. (2015). ICE1 of Pyrus ussuriensis functions in cold tolerance by enhancing PuDREBa transcriptional levels through interacting with PuHHP1. Scientific Reports. 5(1). 17620–17620. 70 indexed citations
19.
Sun, Peipei, Xiaofang Zhu, Xiaosan Huang, & Ji‐Hong Liu. (2014). Overexpression of a stress-responsive MYB transcription factor of Poncirus trifoliata confers enhanced dehydration tolerance and increases polyamine biosynthesis. Plant Physiology and Biochemistry. 78. 71–79. 51 indexed citations
20.
Huang, Xiaosan, Wei Wang, Qian Zhang, & Jihong Liu. (2013). A Basic Helix-Loop-Helix Transcription Factor, PtrbHLH, of Poncirus trifoliata Confers Cold Tolerance and Modulates Peroxidase-Mediated Scavenging of Hydrogen Peroxide  . PLANT PHYSIOLOGY. 162(2). 1178–1194. 252 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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