Min Jiang

2.6k total citations
106 papers, 1.7k citations indexed

About

Min Jiang is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Min Jiang has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 33 papers in Plant Science and 16 papers in Cell Biology. Recurrent topics in Min Jiang's work include Plant Gene Expression Analysis (16 papers), Photosynthetic Processes and Mechanisms (14 papers) and melanin and skin pigmentation (14 papers). Min Jiang is often cited by papers focused on Plant Gene Expression Analysis (16 papers), Photosynthetic Processes and Mechanisms (14 papers) and melanin and skin pigmentation (14 papers). Min Jiang collaborates with scholars based in China, United States and South Korea. Min Jiang's co-authors include Zhaoqing Chu, Jianmei Cao, Peng Li, Changling Zhao, Guosong Wen, Chengfeng Zhang, Xi Peng, L. Chen, Jinfeng Wu and Jing Fang and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Min Jiang

102 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Jiang China 24 748 558 319 270 167 106 1.7k
Catherine M. Buckley United Kingdom 18 1.3k 1.8× 225 0.4× 407 1.3× 117 0.4× 20 0.1× 19 2.0k
Krishnamurthy Natarajan India 28 2.1k 2.9× 416 0.7× 289 0.9× 555 2.1× 43 0.3× 84 3.2k
Kaeko Kamei Japan 25 838 1.1× 338 0.6× 163 0.5× 238 0.9× 13 0.1× 119 2.1k
Jong‐Hee Lee South Korea 26 939 1.3× 217 0.4× 63 0.2× 281 1.0× 65 0.4× 112 2.1k
Jing Zheng China 23 823 1.1× 73 0.1× 255 0.8× 98 0.4× 53 0.3× 50 1.5k
Belén López‐García Spain 22 1.0k 1.4× 280 0.5× 103 0.3× 442 1.6× 150 0.9× 30 1.9k
Rong Gao United States 18 1.1k 1.5× 388 0.7× 80 0.3× 74 0.3× 19 0.1× 35 1.8k
María Martínez‐Esparza Spain 25 612 0.8× 149 0.3× 423 1.3× 513 1.9× 181 1.1× 56 1.8k
Ping Lin China 21 844 1.1× 85 0.2× 54 0.2× 250 0.9× 78 0.5× 81 1.3k
Kohei Ogura Japan 17 704 0.9× 112 0.2× 165 0.5× 106 0.4× 17 0.1× 65 1.3k

Countries citing papers authored by Min Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Min Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jiang. A scholar is included among the top collaborators of Min Jiang 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 Min Jiang. Min Jiang 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.
Ye, Weijian, Min Jiang, Zhicheng Hu, et al.. (2025). The FGF13‐Caveolin‐1 Axis: A Key Player in the Pathogenesis of Doxorubicin‐ and D‐Galactose‐Induced Premature Cardiac Aging. Advanced Science. 12(25). e2501055–e2501055. 2 indexed citations
2.
Wang, Siyuan, Tao Jiang, Min Jiang, & Yang‐Bao Miao. (2025). Leveraging polysaccharide-derived nanocarriers to open new horizons in oral vaccine activation. Materials Today Bio. 35. 102300–102300.
3.
Jiang, Jie, Wankui Jiang, Wenming Zhang, et al.. (2024). The biosynthesis of L-phenylalanine-derived compounds by engineered microbes. Biotechnology Advances. 77. 108448–108448. 12 indexed citations
4.
Liao, Yiqun, Jiayu Huang, Zhaohui Yang, et al.. (2024). Molecular serotyping of diarrheagenic Escherichia coli with a MeltArray assay reveals distinct correlation between serotype and pathotype. Gut Microbes. 16(1). 2401944–2401944. 2 indexed citations
5.
Chen, Li, et al.. (2024). Photobiomodulation Using 830 nm Lighting‐Emitting Diode Inhibits Melanogenesis via FOXO3a in Human Melanocyte. Pigment Cell & Melanoma Research. 37(5). 681–692. 1 indexed citations
6.
Huang, Zhicheng, Min Jiang, Liang‐Peng Sun, et al.. (2024). Exploiting susceptibility genes in rice: from molecular mechanism to application. Phytopathology Research. 6(1). 2 indexed citations
7.
Duan, Xixin, Tingting Hu, Lijuan Xu, et al.. (2024). The Correlation Analysis Between m6A Methylation Modification and Ferroptosis Induced by Cigarette Smoke in Human Bronchial Epithelium. Immunity Inflammation and Disease. 12(12). e70104–e70104. 3 indexed citations
8.
Wang, Zhongxing, Rui Chen, Min Jiang, et al.. (2023). ProQ binding to small RNA RyfA promotes virulence and biofilm formation in avian pathogenic Escherichia coli. Veterinary Research. 54(1). 109–109. 3 indexed citations
9.
Li, Peng, Yuxin Zhang, Changling Zhao, & Min Jiang. (2023). Evolution of the Tóxicos en Levadura 63 (TL63) gene family in plants and functional characterization of Arabidopsis thaliana TL63 under oxidative stress. Planta. 258(5). 87–87. 4 indexed citations
10.
Li, Peng, et al.. (2023). Evolution of the WRKY66 Gene Family and Its Mutations Generated by the CRISPR/Cas9 System Increase the Sensitivity to Salt Stress in Arabidopsis. International Journal of Molecular Sciences. 24(4). 3071–3071. 12 indexed citations
11.
Yang, Yungang, Liling Qian, Chunmei Zhu, et al.. (2023). Etiology and clinical features of children with bronchiectasis in China: A 10‐year multicenter retrospective study. The Clinical Respiratory Journal. 17(9). 841–850. 2 indexed citations
12.
13.
Jian, Yue, Chenlu Zhang, Yating Wang, et al.. (2021). Characterization of the Role of the Neoxanthin Synthase Gene BoaNXS in Carotenoid Biosynthesis in Chinese Kale. Genes. 12(8). 1122–1122. 7 indexed citations
14.
15.
Sun, Bo, Min Jiang, Sha Liang, et al.. (2019). Functional differences of BaPDS1 and BaPDS2 genes in Chinese kale. Royal Society Open Science. 6(7). 190260–190260. 6 indexed citations
16.
Sun, Bo, Min Jiang, Yuan Qiao, et al.. (2018). Variation in the main health-promoting compounds and antioxidant activity of whole and individual edible parts of baby mustard (Brassica juncea var. gemmifera). RSC Advances. 8(59). 33845–33854. 63 indexed citations
17.
Liu, Chunyu, Min Jiang, Jing Fang, Xi Peng, & Hengmin Cui. (2016). Inhibitory effects of dietary aflatoxin B1 on cytokines expression and T-cell subsets in the cecal tonsil of broiler chickens. Spanish Journal of Agricultural Research. 14(3). 10. 2 indexed citations
18.
Jiang, Min, et al.. (2015). Effects of Aflatoxin B1 on T-Cell Subsets and mRNA Expression of Cytokines in the Intestine of Broilers. International Journal of Molecular Sciences. 16(4). 6945–6959. 50 indexed citations
19.
Zhu, Hong, Feng Wen, Peng Li, et al.. (2014). Validation of a Reference Gene (BdFIM) for Quantifying Transgene Copy Numbers in Brachypodium distachyon by Real-Time PCR. Applied Biochemistry and Biotechnology. 172(6). 3163–3175. 5 indexed citations
20.
Yang, Ruifeng, Min Jiang, Suresh Kumar, et al.. (2011). Generation of Melanocytes from Induced Pluripotent Stem Cells. Journal of Investigative Dermatology. 131(12). 2458–2466. 35 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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