Xiaofeng Wang

5.5k total citations · 1 hit paper
96 papers, 4.0k citations indexed

About

Xiaofeng Wang is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Xiaofeng Wang has authored 96 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 50 papers in Molecular Biology and 7 papers in Nutrition and Dietetics. Recurrent topics in Xiaofeng Wang's work include Plant Molecular Biology Research (35 papers), Plant Stress Responses and Tolerance (22 papers) and Plant Reproductive Biology (17 papers). Xiaofeng Wang is often cited by papers focused on Plant Molecular Biology Research (35 papers), Plant Stress Responses and Tolerance (22 papers) and Plant Reproductive Biology (17 papers). Xiaofeng Wang collaborates with scholars based in China, United States and Canada. Xiaofeng Wang's co-authors include Steven D. Clouse, Steven C. Huber, Michael B. Goshe, Uma Kota, Jia Li, Jisheng Li, Honglei Jia, Ji‐Xiang Du, De-Shuang Huang and Kevin Blackburn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Xiaofeng Wang

92 papers receiving 3.9k citations

Hit Papers

Sequential Transphosphorylation of the BRI1/BAK1 Receptor... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofeng Wang China 30 3.1k 1.8k 231 164 129 96 4.0k
Antonio de Haro Bailón Spain 29 1.5k 0.5× 1.1k 0.6× 205 0.9× 234 1.4× 163 1.3× 111 3.0k
Philip Zimmermann Switzerland 22 3.8k 1.2× 4.7k 2.6× 218 0.9× 88 0.5× 85 0.7× 37 6.6k
George W. Bassel United Kingdom 36 4.8k 1.5× 2.6k 1.4× 228 1.0× 97 0.6× 11 0.1× 70 5.7k
Christian Klukas Germany 28 1.9k 0.6× 1.2k 0.6× 79 0.3× 33 0.2× 146 1.1× 56 3.1k
Narendra Singh Yadav India 24 1.5k 0.5× 1.6k 0.9× 902 3.9× 99 0.6× 22 0.2× 94 2.8k
Marie‐Laure Martin‐Magniette France 27 2.4k 0.8× 2.3k 1.3× 60 0.3× 41 0.3× 29 0.2× 63 3.8k
Nozomu Sakurai Japan 35 3.1k 1.0× 3.1k 1.7× 216 0.9× 109 0.7× 23 0.2× 117 5.1k
Qiong Hu China 28 1.3k 0.4× 1.1k 0.6× 120 0.5× 16 0.1× 127 1.0× 137 2.3k
Jiafu Jiang China 45 5.0k 1.6× 3.9k 2.1× 63 0.3× 72 0.4× 29 0.2× 262 6.2k

Countries citing papers authored by Xiaofeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Wang. A scholar is included among the top collaborators of Xiaofeng Wang 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 Xiaofeng Wang. Xiaofeng Wang 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, Feng, Shiwei Zhang, Xiaofeng Wang, et al.. (2025). Timestep Embedding Tells: It’s Time to Cache for Video Diffusion Model. 7353–7363.
2.
Liu, Qinglin, et al.. (2024). Adsorption desulphurization performance of biochar that derived from eucalyptus waste. Powder Technology. 448. 120322–120322. 5 indexed citations
3.
Wang, Xiaofeng, et al.. (2024). Phosphorylation of the transcription factor SlBIML1 by SlBIN2 kinases delays flowering in tomato. PLANT PHYSIOLOGY. 196(4). 2583–2598. 3 indexed citations
4.
Zhang, Xin, et al.. (2024). Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness. 88–93. 1 indexed citations
5.
Ye, Tiantian, Xu Huang, Ying Li, et al.. (2023). Integrated Analysis of miRNAome and Transcriptome Identify Regulators of Elm Seed Aging. Plants. 12(8). 1719–1719. 5 indexed citations
6.
Li, Jingjuan, Tong Zhao, Fangming Xiao, et al.. (2023). PHB3 interacts with BRI1 and BAK1 to mediate brassinosteroid signal transduction in Arabidopsis and tomato. New Phytologist. 241(4). 1510–1524. 9 indexed citations
7.
8.
Wang, Tongtong, Xiaofeng Wang, Haiyan Wang, et al.. (2023). ArabidopsisSRPKII family proteins regulate flowering via phosphorylation of SR proteins and effects on gene expression and alternative splicing. New Phytologist. 238(5). 1889–1907. 17 indexed citations
9.
Li, Jisheng, Sisi Chen, Xiaofeng Wang, et al.. (2018). Hydrogen Sulfide Disturbs Actin Polymerization via S-Sulfhydration Resulting in Stunted Root Hair Growth. PLANT PHYSIOLOGY. 178(2). 936–949. 78 indexed citations
10.
Chen, Bingxian, Jun Ma, Zhenjiang Zech Xu, & Xiaofeng Wang. (2016). Abscisic acid and ethephon regulation of cellulase in the endosperm cap and radicle during lettuce seed germination. Journal of Integrative Plant Biology. 58(10). 859–869. 20 indexed citations
11.
Wang, Xin, Dongli Gao, Jinjing Sun, et al.. (2016). An exon skipping in a SEPALLATA‐Like gene is associated with perturbed floral and fruits development in cucumber. Journal of Integrative Plant Biology. 58(9). 766–771. 18 indexed citations
12.
Wang, Xiaofeng & Marianna Kulka. (2014). n-3 polyunsaturated fatty acids (PUFAs) inhibit mast cell activation by disrupting FcϵRI association with lipid rafts (HYP3P.401). The Journal of Immunology. 192. 1 indexed citations
13.
Wang, Xiaofeng & Deping Ye. (2014). Conditional density estimation in measurement error problems. Journal of Multivariate Analysis. 133. 38–50. 1 indexed citations
14.
Zhang, Yu, Bingxian Chen, Zhenjiang Zech Xu, et al.. (2014). Involvement of reactive oxygen species in endosperm cap weakening and embryo elongation growth during lettuce seed germination. Journal of Experimental Botany. 65(12). 3189–3200. 95 indexed citations
16.
Oh, Man‐Ho, Xiaofeng Wang, Steven D. Clouse, & Steven C. Huber. (2011). Deactivation of the Arabidopsis BRASSINOSTEROID INSENSITIVE 1 (BRI1) receptor kinase by autophosphorylation within the glycine-rich loop. Proceedings of the National Academy of Sciences. 109(1). 327–332. 54 indexed citations
17.
Zhang, Ming, et al.. (2010). Optimizing Seed Water Content: Relevance to Storage Stability and Molecular Mobility. Journal of Integrative Plant Biology. 52(3). 324–331. 9 indexed citations
18.
Wang, Xiaofeng, et al.. (2010). Plant-derived recombinant human serum transferrin demonstrates multiple functions. Plant Biotechnology Journal. 8(4). 489–505. 19 indexed citations
19.
Oh, Man‐Ho, Xiaofeng Wang, Uma Kota, et al.. (2009). Tyrosine phosphorylation of the BRI1 receptor kinase emerges as a component of brassinosteroid signaling in Arabidopsis. Proceedings of the National Academy of Sciences. 106(2). 658–663. 205 indexed citations
20.
Wang, Xiaofeng, Michael B. Goshe, Erik J. Soderblom, et al.. (2005). Identification and Functional Analysis of in Vivo Phosphorylation Sites of the Arabidopsis BRASSINOSTEROID-INSENSITIVE1 Receptor Kinase. The Plant Cell. 17(6). 1685–1703. 313 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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