Ying Hua Su

2.5k total citations
45 papers, 1.8k citations indexed

About

Ying Hua Su is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Ying Hua Su has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 33 papers in Plant Science and 2 papers in Oncology. Recurrent topics in Ying Hua Su's work include Plant Molecular Biology Research (30 papers), Plant Reproductive Biology (22 papers) and Plant tissue culture and regeneration (20 papers). Ying Hua Su is often cited by papers focused on Plant Molecular Biology Research (30 papers), Plant Reproductive Biology (22 papers) and Plant tissue culture and regeneration (20 papers). Ying Hua Su collaborates with scholars based in China, United States and Germany. Ying Hua Su's co-authors include Xian Sheng Zhang, Xiang Zhao, Li Ping Tang, Zhi Juan Cheng, Wei Li, Bo Bai, Chao Zhou, Yan Zhang, Sharman D. O’Neill and Jia Yuan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ying Hua Su

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Hua Su China 20 1.6k 1.5k 76 58 40 45 1.8k
Fábio Tebaldi Silveira Nogueira Brazil 26 2.2k 1.4× 1.7k 1.1× 95 1.3× 46 0.8× 68 1.7× 62 2.5k
Robert Blanvillain France 20 1.1k 0.7× 1.2k 0.8× 85 1.1× 73 1.3× 72 1.8× 26 1.5k
Simon Scofield United Kingdom 20 1.7k 1.0× 1.4k 0.9× 67 0.9× 38 0.7× 43 1.1× 28 1.9k
László Bakó Sweden 19 1.4k 0.9× 1.2k 0.8× 44 0.6× 93 1.6× 34 0.8× 27 1.7k
Masayuki Higuchi Japan 12 2.0k 1.2× 1.6k 1.1× 48 0.6× 29 0.5× 30 0.8× 16 2.2k
Marianne Delarue France 22 1.8k 1.1× 1.5k 1.0× 42 0.6× 22 0.4× 32 0.8× 30 2.0k
Zhengjing Zhang China 12 1.8k 1.1× 1.5k 1.0× 23 0.3× 62 1.1× 83 2.1× 15 2.2k
Kiyoshi Tatematsu Japan 21 2.6k 1.6× 1.7k 1.1× 79 1.0× 18 0.3× 39 1.0× 29 2.8k
Małgorzata D. Gaj Poland 23 1.8k 1.1× 1.8k 1.2× 86 1.1× 80 1.4× 18 0.5× 45 2.0k
Zhizhong Chen China 15 2.5k 1.5× 1.6k 1.1× 32 0.4× 31 0.5× 49 1.2× 21 2.9k

Countries citing papers authored by Ying Hua Su

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hua Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Hua Su. 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 Ying Hua Su. The network helps show where Ying Hua Su may publish in the future.

Co-authorship network of co-authors of Ying Hua Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Hua Su. A scholar is included among the top collaborators of Ying Hua Su 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 Ying Hua Su. Ying Hua Su 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.
Ran, Liuyi, Chenxing Wang, Fengming Chen, et al.. (2025). Delivery of miR-26a-5p by Subcutaneous Adipose Tissue-Derived Extracellular Vesicles Alleviates Acute Lung Injury in Mice Through CHUK/NF-κB Pathway. International Journal of Nanomedicine. Volume 20. 6001–6021. 1 indexed citations
2.
Su, Ying Hua, Yuqi Jiang, Yifu He, et al.. (2025). Effects of astragalus polysaccharide on the physicochemical properties of heat-induced whey protein gels by simultaneous rheology and Fourier transform infrared spectroscopy. Journal of Dairy Science. 108(5). 4626–4637. 4 indexed citations
3.
Peng, Jing, Qí Zhāng, Li Ping Tang, et al.. (2025). LEC2 induces somatic cell reprogramming through epigenetic activation of plant cell totipotency regulators. Nature Communications. 16(1). 4185–4185. 2 indexed citations
4.
5.
Gao, Zihan, Haihong Jia, Wenhui Wang, et al.. (2025). The GhMPK7‐GhSDIRIP1 module enhances drought tolerance in cotton by regulating ABA signaling. New Phytologist. 248(3). 1351–1367.
6.
Tang, Li Ping, Jiming Li, Yue Gao, et al.. (2025). Time-resolved reprogramming of single somatic cells into totipotent states during plant regeneration. Cell. 188(24). 6923–6938.e18. 3 indexed citations
7.
Tang, Li Ping, et al.. (2024). A WRI1‐dependent module is essential for the accumulation of auxin and lipid in somatic embryogenesis of Arabidopsis thaliana. New Phytologist. 242(3). 1098–1112. 14 indexed citations
8.
Su, Ying Hua, Chen Chen, Chen Chen, et al.. (2024). Rapid identification of horse oil adulteration based on deep learning infrared spectroscopy detection method. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 330. 125604–125604. 3 indexed citations
9.
Peng, Jing, et al.. (2023). The RPT2a–MET1 axis regulates TERMINAL FLOWER1 to control inflorescence meristem indeterminacy in Arabidopsis. The Plant Cell. 36(5). 1718–1735. 2 indexed citations
10.
Su, Ying Hua, et al.. (2023). Circ_0124055 promotes the progression of thyroid cancer cells through the miR-486-3p/MTA1 axis. Journal of Endocrinological Investigation. 46(8). 1549–1563. 1 indexed citations
11.
Zhang, Xiang, et al.. (2022). Genetic Mechanisms of Cold Signaling in Wheat (Triticum aestivum L.). Life. 12(5). 700–700. 6 indexed citations
12.
Luo, Fei, et al.. (2021). Bone marrow mesenchymal stem cells promote the progression of prostate cancer through the SDF-1/CXCR4 axis in vivo and vitro. Clinical & Translational Oncology. 24(5). 892–901. 7 indexed citations
13.
Wei, Tao, et al.. (2021). A Gain-of-Function Mutant of IAA7 Inhibits Stem Elongation by Transcriptional Repression of EXPA5 Genes in Brassica napus. International Journal of Molecular Sciences. 22(16). 9018–9018. 18 indexed citations
14.
15.
Su, Ying Hua, Chao Zhou, Yu Yang, et al.. (2020). Integration of pluripotency pathways regulates stem cell maintenance in the Arabidopsis shoot meristem. Proceedings of the National Academy of Sciences. 117(36). 22561–22571. 108 indexed citations
16.
Tang, Li Ping, et al.. (2017). Microfilament Depolymerization Is a Pre-requisite for Stem Cell Formation During In vitro Shoot Regeneration in Arabidopsis. Frontiers in Plant Science. 8. 158–158. 9 indexed citations
17.
Tang, Li Ping, Chao Zhou, Shanshan Wang, et al.. (2016). FUSCA 3 interacting with LEAFY COTYLEDON 2 controls lateral root formation through regulating YUCCA 4 gene expression in Arabidopsis thaliana. New Phytologist. 213(4). 1740–1754. 62 indexed citations
18.
Su, Ying Hua, et al.. (2012). Abscisic acid is required for somatic embryo initiation through mediating spatial auxin response in Arabidopsis. Plant Growth Regulation. 69(2). 167–176. 35 indexed citations
19.
Su, Ying Hua & Xian Sheng Zhang. (2009). Auxin gradients trigger de novo formation of stem cells during somatic embryogenesis. Plant Signaling & Behavior. 4(7). 574–576. 46 indexed citations
20.
Zhao, Xiang, Ying Hua Su, Zhi Juan Cheng, & Xian Sheng Zhang. (2008). Cell Fate Switch during In Vitro Plant Organogenesis. Journal of Integrative Plant Biology. 50(7). 816–824. 51 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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