Ying Miao

5.6k total citations · 1 hit paper
116 papers, 4.4k citations indexed

About

Ying Miao is a scholar working on Molecular Biology, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Miao has authored 116 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 47 papers in Plant Science and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Miao's work include Plant Molecular Biology Research (35 papers), Plant Gene Expression Analysis (33 papers) and Photosynthetic Processes and Mechanisms (23 papers). Ying Miao is often cited by papers focused on Plant Molecular Biology Research (35 papers), Plant Gene Expression Analysis (33 papers) and Photosynthetic Processes and Mechanisms (23 papers). Ying Miao collaborates with scholars based in China, Germany and United States. Ying Miao's co-authors include Ulrike Zentgraf, Petra Zimmermann, Bingxiu Xiao, Zhen Jiang, Junming Guo, Yanjun Wang, Dan Meng, Yuanyuan Zhang, Hongwei Guo and Yujun Ren and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ying Miao

104 papers receiving 4.4k citations

Hit Papers

Leaf senescence: progression, regulation, and application 2021 2026 2022 2024 2021 50 100 150 200 250
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. Leaf senescence: progression, regulation, and application
    2021 252 citations Ying Miao 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
Ying Miao China 28 3.3k 2.7k 981 192 105 116 4.4k
Feng Tian China 17 1.8k 0.6× 1.9k 0.7× 202 0.2× 119 0.6× 158 1.5× 45 3.1k
Jingjing Jiang China 23 1.4k 0.4× 1.2k 0.5× 273 0.3× 138 0.7× 95 0.9× 97 2.5k
Ji He United States 23 1.1k 0.3× 1.7k 0.6× 292 0.3× 330 1.7× 49 0.5× 55 2.9k
Xiaofeng Tang China 26 1.7k 0.5× 1.1k 0.4× 330 0.3× 166 0.9× 31 0.3× 126 2.5k
Mi Kwon South Korea 31 1.6k 0.5× 941 0.4× 526 0.5× 558 2.9× 102 1.0× 85 2.8k
Timothy S. Davison United Kingdom 13 2.7k 0.8× 1.6k 0.6× 713 0.7× 638 3.3× 97 0.9× 25 3.5k
Sung-Woo Lee South Korea 22 1.5k 0.5× 599 0.2× 1.1k 1.1× 226 1.2× 236 2.2× 126 2.9k
Letizia Pitto Italy 26 1.4k 0.4× 687 0.3× 414 0.4× 71 0.4× 55 0.5× 67 1.9k
He Liu China 27 1.4k 0.4× 1.2k 0.5× 144 0.1× 147 0.8× 96 0.9× 79 2.8k

Countries citing papers authored by Ying Miao

Since Specialization
Citations

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

Fields of papers citing papers by Ying Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Miao. A scholar is included among the top collaborators of Ying Miao 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 Miao. Ying Miao 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, Jingpeng, Xiaowei Wang, Zhongxian Chen, et al.. (2025). Deep Neural Network‐Mining of Rice Drought‐Responsive TF‐TAG Modules by a Combinatorial Analysis of ATAC‐Seq and RNA‐Seq. Plant Cell & Environment. 48(7). 5217–5235. 1 indexed citations
2.
3.
Gao, Liyang, Xuanyi Chen, Meijing Li, et al.. (2024). Recent Advances in Understanding the Regulatory Mechanism of Plasma Membrane H+-ATPase through the Brassinosteroid Signaling Pathway. Plant and Cell Physiology. 65(10). 1515–1529. 8 indexed citations
4.
Chen, Yang, Zhaopeng Shi, Ying Miao, et al.. (2023). 68Ga-FAPI-04 Positron Emission Tomography Distinguishes Malignancy From 18F-FDG-Avid Colorectal Lesions. International Journal of Radiation Oncology*Biology*Physics. 118(1). 285–294. 6 indexed citations
5.
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Miao, Ying, Runhua Feng, Rui Guo, et al.. (2023). Value of68Ga-FAPI-04 and18F-FDG PET/CT in Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer. Journal of Nuclear Medicine. 65(2). 213–220. 10 indexed citations
7.
Zhang, Yu, Dongmei Huang, & Ying Miao. (2023). Epigenetic control of plant senescence and cell death and its application in crop improvement. Frontiers in Plant Science. 14. 1258487–1258487. 14 indexed citations
8.
Wu, Xi, et al.. (2023). NtMYB1 and NtNCED1/2 control abscisic acid biosynthesis and tepal senescence in Chinese narcissus (Narcissus tazetta). Journal of Experimental Botany. 74(21). 6505–6521. 6 indexed citations
9.
Zheng, Shuai, et al.. (2022). Establishment of a Landscape of UPL5-Ubiquitinated on Multiple Subcellular Components of Leaf Senescence Cell in Arabidopsis. International Journal of Molecular Sciences. 23(10). 5754–5754. 2 indexed citations
10.
Ren, Yujun, Deyu Zhang, Xuewei Chen, et al.. (2021). Transcriptome-Based WGCNA Analysis Reveals Regulated Metabolite Fluxes between Floral Color and Scent in Narcissus tazetta Flower. International Journal of Molecular Sciences. 22(15). 8249–8249. 44 indexed citations
11.
Li, Yanyun, et al.. (2020). Triple-localized WHIRLY2 Influences Leaf Senescence and Silique Development via Carbon Allocation. PLANT PHYSIOLOGY. 184(3). 1348–1362. 27 indexed citations
12.
13.
Miao, Ying, et al.. (2019). LincRNA-p21 leads to G1 arrest by p53 pathway in esophageal squamous cell carcinoma. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Zhang, Ya, et al.. (2019). MORF9 Functions in Plastid RNA Editing with Tissue Specificity. International Journal of Molecular Sciences. 20(18). 4635–4635. 15 indexed citations
15.
Miao, Ying, et al.. (2019). New Aspects of HECT-E3 Ligases in Cell Senescence and Cell Death of Plants. Plants. 8(11). 483–483. 17 indexed citations
16.
Zhang, Yuanyuan, et al.. (2019). Characterization of S40-like proteins and their roles in response to environmental cues and leaf senescence in rice. BMC Plant Biology. 19(1). 174–174. 18 indexed citations
17.
Ren, Yujun, et al.. (2017). Structure of Pigment Metabolic Pathways and Their Contributions to White Tepal Color Formation of Chinese Narcissus tazetta var. chinensis cv Jinzhanyintai. International Journal of Molecular Sciences. 18(9). 1923–1923. 22 indexed citations
18.
Ren, Yujun, et al.. (2017). Dual-Located WHIRLY1 Interacting with LHCA1 Alters Photochemical Activities of Photosystem I and Is Involved in Light Adaptation in Arabidopsis. International Journal of Molecular Sciences. 18(11). 2352–2352. 26 indexed citations
19.
Zhou, Zheng, Dirk Schenke, Ying Miao, & Daguang Cai. (2016). Investigation of the crosstalk between the flg22 and the UV‐B‐induced flavonol pathway in Arabidopsis thaliana seedlings. Plant Cell & Environment. 40(3). 453–458. 21 indexed citations
20.

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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