Mingyu Han

4.3k total citations
149 papers, 3.0k citations indexed

About

Mingyu Han is a scholar working on Plant Science, Molecular Biology and Sensory Systems. According to data from OpenAlex, Mingyu Han has authored 149 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Plant Science, 77 papers in Molecular Biology and 7 papers in Sensory Systems. Recurrent topics in Mingyu Han's work include Plant Physiology and Cultivation Studies (64 papers), Plant Molecular Biology Research (61 papers) and Plant Reproductive Biology (56 papers). Mingyu Han is often cited by papers focused on Plant Physiology and Cultivation Studies (64 papers), Plant Molecular Biology Research (61 papers) and Plant Reproductive Biology (56 papers). Mingyu Han collaborates with scholars based in China, Nepal and France. Mingyu Han's co-authors include Dong Zhang, Caiping Zhao, Juanjuan Ma, Libo Xing, Na An, Youmei Li, Sheng Fan, Jiangping Mao, Yawen Shen and Dong Zhang and has published in prestigious journals such as PLoS ONE, The Plant Cell and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mingyu Han

146 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyu Han China 34 2.7k 1.8k 134 107 71 149 3.0k
Fabien Porée Germany 13 1.9k 0.7× 1.0k 0.6× 68 0.5× 105 1.0× 63 0.9× 15 2.3k
Xiaoyun Jia China 21 1.5k 0.5× 1.0k 0.6× 36 0.3× 136 1.3× 41 0.6× 77 2.0k
Yongqing Yang China 25 4.9k 1.8× 2.4k 1.3× 143 1.1× 88 0.8× 100 1.4× 47 5.6k
Alexander Christmann Germany 18 4.4k 1.6× 1.9k 1.1× 155 1.2× 74 0.7× 53 0.7× 37 4.8k
M. Carmen De Vicente Spain 21 1.9k 0.7× 1.2k 0.7× 235 1.8× 147 1.4× 110 1.5× 50 2.7k
Yuan‐Qing Jiang China 26 2.7k 1.0× 2.1k 1.2× 66 0.5× 47 0.4× 41 0.6× 68 3.2k
Hailong An China 19 1.7k 0.6× 1.3k 0.7× 40 0.3× 26 0.2× 23 0.3× 32 2.0k
Zhen Zhang China 26 1.4k 0.5× 829 0.5× 77 0.6× 121 1.1× 81 1.1× 133 2.2k
Patrick Achard France 28 7.0k 2.6× 4.1k 2.3× 315 2.4× 152 1.4× 61 0.9× 36 7.5k

Countries citing papers authored by Mingyu Han

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Han. A scholar is included among the top collaborators of Mingyu Han 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 Mingyu Han. Mingyu Han 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.
Han, Mingyu, et al.. (2025). Mining the potential quality marker and predicting the total flavonoid content of Paris polyphylla var. Yunnanensis based on information fusion. Microchemical Journal. 212. 113415–113415. 1 indexed citations
2.
Wang, Li, Mingyu Han, Hailin Tang, et al.. (2025). Combination of Sodium Butyrate and Immunotherapy in Glioma: regulation of immunologically hot and cold tumors via gut microbiota and metabolites. Frontiers in Immunology. 16. 1532528–1532528. 7 indexed citations
3.
Zhu, Feilin, et al.. (2024). A machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation. Environmental Modelling & Software. 180. 106146–106146. 4 indexed citations
4.
Zhu, Feilin, et al.. (2024). A multi-layer nesting and integration approach for predicting groundwater levels in agriculturally intensive areas using data-driven models. Journal of Hydrology. 643. 132038–132038. 3 indexed citations
5.
Mao, Jiangping, Chundong Niu, Fan Li, et al.. (2022). Cytokinin-responsive MdTCP17 interacts with MdWOX11 to repress adventitious root primordium formation in apple rootstocks. The Plant Cell. 35(4). 1202–1221. 33 indexed citations
6.
Ma, Xiaolong, et al.. (2020). Effect of Bi-axis Bibaum Tree Shape on Growth and Bearing of Young Apple Tree on Dwarf Rootstock. Acta Horticulturae Sinica. 47(3). 541. 2 indexed citations
7.
Wang, Jue, et al.. (2019). Effect of latitude and altitude on flower bud differentiation of major apple cultivars.. Acta Horticulturae Sinica. 46(4). 761–774. 2 indexed citations
8.
Zhang, Dong, et al.. (2018). Cloning and expression of transcription factor gene BZR1 in Malus × domestica.. Acta Horticulturae Sinica. 45(2). 205–216. 2 indexed citations
9.
Dong, Feng, Xiaolong Ma, Meng Yuan, et al.. (2018). Genome-wide identification and expression analysis of GA2ox, GA3ox and GA20ox in apple.. Acta Horticulturae Sinica. 45(4). 613–626. 4 indexed citations
10.
Shao, Hongxia, et al.. (2017). Identification, evolution and expression analysis of the YABBY gene family in apple (Malus×domestica Borkh.). Acta Agriculturae Zhejiangensis. 29(7). 1129–1138. 3 indexed citations
11.
Han, Mingyu, et al.. (2014). Optimizing planting density for production of high‐quality apple nursery stock in China. New Zealand Journal of Crop and Horticultural Science. 43(1). 7–17. 5 indexed citations
12.
Wang, Yanping, et al.. (2012). [Variation characteristics of soil moisture in apple orchards of Luochuan County, Shaanxi Province of Northwest China].. PubMed. 23(3). 731–8. 5 indexed citations
13.
Han, Mingyu. (2011). Effects of the Orchard-planted Grasses on the 1-year-old Apple Photosynthesis Characteristics. Acta Agrestia Sinica. 1 indexed citations
14.
Zhang, Linsen, et al.. (2010). Effect of application of biogas slurry with potassium on orchard soil properties and soil microorganism and fruit quality.. Zhongguo nongye Kexue. 43(22). 4671–4677. 2 indexed citations
15.
Han, Mingyu, et al.. (2010). Effects of tree shape on the quality of leaf and fruit and the yield in peach.. Journal of Northwest A&F University. 38(6). 160–170. 2 indexed citations
16.
Wan, Chunyan, et al.. (2010). Factors on the seed embryos' degradation of early-ripening peach (Prunus persica L.).. Journal of Northwest A&F University. 38(12). 185–196. 1 indexed citations
17.
Zhang, Fang-Fang, et al.. (2009). Effects of the central leader tree form on the light interception ability, fruit yield and quality of peach.. Guoshu xuebao. 26(1). 86–89. 1 indexed citations
18.
Han, Mingyu. (2007). Comparisons of Ascorbic Acid Contents and Activities of Metabolism Relative Enzymes in Apple Leaves of Various Ages. Acta Horticulturae Sinica. 2 indexed citations
19.
Han, Mingyu. (2007). Mineral Nutrition Elements and Their Roles in Growth and Development of Apple Trees in Arid Areas. Xibei Linxueyuan xuebao. 5 indexed citations
20.
Han, Mingyu, et al.. (2004). Effects of Fruit Cracking on Accumulation of Superoxide Free Radical and Membrane Lipid Peroxidation of Nectarine Fruit during Maturation. Xibei nongye xuebao. 13(4). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026