Mingjun Li

9.0k total citations · 1 hit paper
252 papers, 6.5k citations indexed

About

Mingjun Li is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Mingjun Li has authored 252 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Plant Science, 82 papers in Molecular Biology and 12 papers in Endocrinology. Recurrent topics in Mingjun Li's work include Plant Molecular Biology Research (50 papers), Plant nutrient uptake and metabolism (49 papers) and Plant Stress Responses and Tolerance (47 papers). Mingjun Li is often cited by papers focused on Plant Molecular Biology Research (50 papers), Plant nutrient uptake and metabolism (49 papers) and Plant Stress Responses and Tolerance (47 papers). Mingjun Li collaborates with scholars based in China, United States and Australia. Mingjun Li's co-authors include Fengwang Ma, Lailiang Cheng, Fengjuan Feng, Dongli Liang, Baiquan Ma, Guorong Du, Dong Liang, Cuiying Li, Lingcheng Zhu and Xiaoyu Wei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mingjun Li

242 papers receiving 6.3k citations

Hit Papers

Chinese yam (Dioscorea): Nutritional value, beneficial ef... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjun Li China 44 5.1k 2.3k 631 539 331 252 6.5k
Lu Wang China 40 2.9k 0.6× 2.4k 1.0× 357 0.6× 498 0.9× 277 0.8× 189 5.1k
Kai Shi China 66 11.3k 2.2× 4.9k 2.1× 292 0.5× 293 0.5× 239 0.7× 227 13.0k
Qiang Li China 36 2.5k 0.5× 2.0k 0.9× 158 0.3× 294 0.5× 181 0.5× 243 4.4k
Ai‐Sheng Xiong China 52 6.2k 1.2× 6.1k 2.6× 860 1.4× 417 0.8× 225 0.7× 345 9.6k
Xiaojian Xia China 57 8.4k 1.7× 3.5k 1.5× 194 0.3× 157 0.3× 145 0.4× 153 9.5k
Xinquan Zhang China 41 4.2k 0.8× 2.2k 0.9× 136 0.2× 447 0.8× 253 0.8× 237 6.6k
Sumei Chen China 47 5.6k 1.1× 4.6k 2.0× 402 0.6× 284 0.5× 95 0.3× 368 7.8k
Qing Chen China 32 2.1k 0.4× 2.1k 0.9× 416 0.7× 282 0.5× 178 0.5× 259 3.8k
Hannah Rae Thomas China 6 6.5k 1.3× 6.0k 2.6× 296 0.5× 343 0.6× 286 0.9× 15 9.6k
Dongmei Liu China 34 2.0k 0.4× 2.5k 1.1× 72 0.1× 759 1.4× 374 1.1× 149 4.6k

Countries citing papers authored by Mingjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Li. A scholar is included among the top collaborators of Mingjun Li 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 Mingjun Li. Mingjun Li 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.
Li, Mingjun, et al.. (2025). Constructed wetlands for wastewater treatment and reuse: Two decades of experience from China. Environmental Research. 279(Pt 2). 121781–121781. 4 indexed citations
3.
Jing, Shan, Mingjun Li, Chunhui Li, et al.. (2025). ABA promotes fatty acid biosynthesis and transport to boost arbuscular mycorrhizal symbiosis in apple roots. Plant Communications. 6(8). 101426–101426. 3 indexed citations
4.
Cui, Ningbo, Mingjun Li, Daozhi Gong, et al.. (2024). Optimizing irrigation and nitrogen fertilizer management to improve apple yield, quality, water productivity and nitrogen use efficiency: A global meta-analysis. Scientia Horticulturae. 332. 113221–113221. 10 indexed citations
6.
Ma, Wenfang, Shujie Song, Liang Wang, et al.. (2024). Transcriptional factor MdESE3 controls fruit acidity by activating genes regulating malic acid content in apple. PLANT PHYSIOLOGY. 196(1). 261–272. 15 indexed citations
7.
Li, Mingjun, et al.. (2024). Review of probiotics, gut microorganisms, and their enzymes involved in the conversion of ginsenosides. Food Bioscience. 58. 103829–103829. 5 indexed citations
8.
Li, Ye, Shengyang Ji, Tao Xu, et al.. (2023). Chinese yam (Dioscorea): Nutritional value, beneficial effects, and food and pharmaceutical applications. Trends in Food Science & Technology. 134. 29–40. 87 indexed citations breakdown →
9.
Zhu, Lingcheng, Rui Tian, Liang Wang, et al.. (2023). Genome-wide identification, characterization and evolutionary dynamic of invertase gene family in apple, and revealing its roles in cold tolerance. International Journal of Biological Macromolecules. 229. 766–777. 14 indexed citations
10.
11.
Liao, Liao, Wenfang Ma, Yangyang Yuan, et al.. (2023). Allelic variation of MdMYB123 controls malic acid content by regulating MdMa1 and MdMa11 expression in apple. PLANT PHYSIOLOGY. 192(3). 1877–1891. 18 indexed citations
12.
Xiao, Qian, Lingcheng Zhu, Yuxing Li, et al.. (2023). Uptake of glucose from the rhizosphere, mediated by apple MdHT1.2, regulates carbohydrate allocation. PLANT PHYSIOLOGY. 193(1). 410–425. 10 indexed citations
13.
Zhang, Xiaoli, et al.. (2022). The proline-rich protein MdPRP6 confers tolerance to salt stress in transgenic apple (Malus domestica). Scientia Horticulturae. 308. 111581–111581. 15 indexed citations
14.
Zhang, Lihua, Baiquan Ma, Changzhi Wang, et al.. (2022). MdWRKY126 modulates malate accumulation in apple fruit by regulating cytosolic malate dehydrogenase (MdMDH5). PLANT PHYSIOLOGY. 188(4). 2059–2072. 61 indexed citations
15.
Zhang, Xiaoli, Xiaoqing Gong, Danyang Li, et al.. (2021). Genome-Wide Identification of PRP Genes in Apple Genome and the Role of MdPRP6 in Response to Heat Stress. International Journal of Molecular Sciences. 22(11). 5942–5942. 16 indexed citations
16.
Li, Mingjun, Yue Li, Jinxiang Cheng, & Honglei Xu. (2019). Current situation and prospect of air pollutant emission standards for ships. IOP Conference Series Materials Science and Engineering. 631(4). 42014–42014.
17.
Ma, Baiquan, Yangyang Yuan, Meng Gao, et al.. (2018). Genome-wide Identification, Classification, Molecular Evolution and Expression Analysis of Malate Dehydrogenases in Apple. International Journal of Molecular Sciences. 19(11). 3312–3312. 22 indexed citations
18.
Zhang, Chunxia, Sen Meng, Mingjun Li, & Zhong Zhao. (2018). Transcriptomic insight into nitrogen uptake and metabolism of Populus simonii in response to drought and low nitrogen stresses. Tree Physiology. 38(11). 1672–1684. 36 indexed citations
19.
Li, Mingjun, Dongxia Li, Fengjuan Feng, et al.. (2016). Proteomic analysis reveals dynamic regulation of fruit development and sugar and acid accumulation in apple. Journal of Experimental Botany. 67(17). 5145–5157. 88 indexed citations
20.
Li, Mingjun, Xuesen Chen, Pingping Wang, & Fengwang Ma. (2011). Ascorbic Acid Accumulation and Expression of Genes Involved in Its Biosynthesis and Recycling in Developing Apple Fruit. Journal of the American Society for Horticultural Science. 136(4). 231–238. 33 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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