Mingfang Qi

3.2k total citations
120 papers, 2.2k citations indexed

About

Mingfang Qi is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mingfang Qi has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Plant Science, 81 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mingfang Qi's work include Plant Molecular Biology Research (45 papers), Plant Reproductive Biology (37 papers) and Plant Stress Responses and Tolerance (36 papers). Mingfang Qi is often cited by papers focused on Plant Molecular Biology Research (45 papers), Plant Reproductive Biology (37 papers) and Plant Stress Responses and Tolerance (36 papers). Mingfang Qi collaborates with scholars based in China, United States and Norway. Mingfang Qi's co-authors include Tianlai Li, Tianlai Li, Tao Xu, Yufeng Liu, Yufeng Liu, Feng Wang, Guoxian Zhang, Xiaolong Yang, Sida Meng and Tao Lü and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mingfang Qi

112 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingfang Qi China 29 1.9k 1.0k 167 75 70 120 2.2k
Yosef Fichman United States 21 2.6k 1.4× 1.3k 1.2× 167 1.0× 147 2.0× 78 1.1× 33 3.3k
Rahat Sharif China 22 1.8k 1.0× 692 0.7× 73 0.4× 48 0.6× 88 1.3× 45 2.2k
Jelli Venkatesh South Korea 24 2.3k 1.2× 1.1k 1.0× 89 0.5× 106 1.4× 44 0.6× 52 2.7k
Mayank Anand Gururani United Arab Emirates 22 2.3k 1.3× 938 0.9× 66 0.4× 127 1.7× 35 0.5× 54 2.7k
Kaushik Das India 8 1.8k 1.0× 690 0.7× 190 1.1× 96 1.3× 79 1.1× 13 2.4k
Yuan Huang China 34 3.0k 1.6× 943 0.9× 84 0.5× 108 1.4× 86 1.2× 119 3.6k
Husna Siddiqui India 19 1.7k 0.9× 429 0.4× 162 1.0× 91 1.2× 77 1.1× 32 2.1k
Mohammad Shah Jahan China 29 2.5k 1.4× 749 0.7× 113 0.7× 91 1.2× 53 0.8× 75 2.9k
Rohit Joshi India 26 2.3k 1.3× 1.1k 1.0× 66 0.4× 90 1.2× 59 0.8× 89 2.7k
Amith R. Devireddy United States 14 1.7k 0.9× 883 0.8× 64 0.4× 96 1.3× 38 0.5× 22 2.1k

Countries citing papers authored by Mingfang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Mingfang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfang Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Mingfang Qi. A scholar is included among the top collaborators of Mingfang Qi 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 Mingfang Qi. Mingfang Qi 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.
Zhu, Shichen, Fan Zhou, Mingfang Qi, et al.. (2024). Effect of thermal treatments on processing and flavor quality of Acrossocheilus fasciatus. LWT. 215. 117273–117273.
2.
Zhang, Ying, Haiyan Zhu, Nan Zhang, et al.. (2024). Manipulation of artificial light environment improves plant biomass and fruit nutritional quality in tomato. Journal of Advanced Research. 75. 79–93. 5 indexed citations
3.
Tan, Changhua, et al.. (2024). ShWRKY55 enhances the cold resistance of wild tomato LA1777 by regulating the expression of the key gene ShSAMDC2 involved in polyamine synthesis. Environmental and Experimental Botany. 221. 105723–105723. 4 indexed citations
4.
Wang, Sai, Siqi Ge, Lina Cheng, et al.. (2024). A regulatory network involving calmodulin controls phytosulfokine peptide processing during drought-induced flower abscission. The Plant Cell. 37(1). 5 indexed citations
5.
Wang, Zhijun, et al.. (2024). SlTCP29 and SlTCP24 participate in the morphological development of tomato compound leaves by integrating multiple pathways. Physiologia Plantarum. 176(6). e14641–e14641. 1 indexed citations
6.
Cheng, Lina, Siqi Ge, Sai Wang, et al.. (2024). SlBEL11 regulates flavonoid biosynthesis, thus fine‐tuning auxin efflux to prevent premature fruit drop in tomato. Journal of Integrative Plant Biology. 66(4). 749–770. 12 indexed citations
7.
Yang, Xiaolong, Yumeng Zhang, Ting Liu, et al.. (2024). SlPGR5/SlPGRL1 pathway-dependent cyclic electron transport regulates photoprotection and chloroplast quality in tomato plants. Horticultural Plant Journal. 11(1). 211–226. 2 indexed citations
8.
Sun, Cong, Sida Meng, Baofeng Wang, et al.. (2023). Exogenous melatonin enhances tomato heat resistance by regulating photosynthetic electron flux and maintaining ROS homeostasis. Plant Physiology and Biochemistry. 196. 197–209. 25 indexed citations
9.
Jiang, Yun, Wei Liu, Mingfang Qi, et al.. (2023). Silencing SlPP2C expression delayed plant senescence and fruit ripening in tomato. Physiologia Plantarum. 175(3). e13925–e13925. 12 indexed citations
10.
11.
Cui, Xiaoyu, Feng Wang, Mingfang Qi, et al.. (2023). Genome-wide investigation of the phospholipase C gene family in Solanum lycopersicum and abiotic stress analysis. Environmental and Experimental Botany. 210. 105336–105336. 5 indexed citations
12.
Cui, Xiaoyu, Feng Wang, Mingfang Qi, et al.. (2023). Genome-wide identification and expression analysis of the UPF0016 family in tomato (Solanum lycopersicum) under drought stress. Environmental and Experimental Botany. 219. 105607–105607. 2 indexed citations
13.
Bu, Xin, Golam Jalal Ahammed, Yufeng Liu, et al.. (2023). Tetratricopeptide repeat protein SlREC2 positively regulates cold tolerance in tomato. PLANT PHYSIOLOGY. 192(1). 648–665. 21 indexed citations
14.
Cheng, Lina, Xiaoyang Wang, Siqi Ge, et al.. (2022). A SlCLV3-SlWUS module regulates auxin and ethylene homeostasis in low light-induced tomato flower abscission. The Plant Cell. 34(11). 4388–4408. 30 indexed citations
15.
Yang, Xiaolong, Yumeng Zhang, Ting Liu, et al.. (2022). Integrated Physiological, Transcriptomic, and Proteomic Analyses Reveal the Regulatory Role of Melatonin in Tomato Plants’ Response to Low Night Temperature. Antioxidants. 11(10). 2060–2060. 10 indexed citations
16.
Qi, Mingfang. (2008). Hybrid identification of Cunninghamia lanceolata × Platycladus orientalis based on ISSR markers. Zhejiang Linxueyuan xuebao. 1 indexed citations
17.
Qi, Mingfang. (2008). Changes in the Cell Ultrastructure and Calcium Distribution During Tomato Pedicel Abscission. Acta Horticulturae Sinica. 1 indexed citations
18.
Qi, Mingfang. (2007). Effect of Ca~(2+) on Abscission of Tomato (Lycopersicon esculentum Mill) Pedicle in vitro and Change of Calcium Form in Abscission Zone during Process of Abscission. Chih Wu Sheng Li Hsueh T'ung Hsun. 1 indexed citations
19.
Qi, Mingfang. (2006). Effects of Grafting on Development and Sugar Content of Muskmelon Fruit. Shenyang Nongye Daxue xuebao. 4 indexed citations
20.
Qi, Mingfang. (2006). Development Direction of Greenhouse Horticulture Industry in North China——Modern Solar Greenhouse Horticulture Industry. Shenyang Nongye Daxue xuebao. 1 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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