Mingyi Jiang

7.5k total citations · 2 hit papers
85 papers, 5.9k citations indexed

About

Mingyi Jiang is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Mingyi Jiang has authored 85 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Plant Science, 32 papers in Molecular Biology and 6 papers in Organic Chemistry. Recurrent topics in Mingyi Jiang's work include Plant Stress Responses and Tolerance (61 papers), Plant nutrient uptake and metabolism (21 papers) and Plant responses to water stress (19 papers). Mingyi Jiang is often cited by papers focused on Plant Stress Responses and Tolerance (61 papers), Plant nutrient uptake and metabolism (21 papers) and Plant responses to water stress (19 papers). Mingyi Jiang collaborates with scholars based in China, Hong Kong and United States. Mingyi Jiang's co-authors include Jianhua Zhang, Aying Zhang, Mingpu Tan, Xiuli Hu, Lan Ni, Fan Lin, Shucheng Xu, Jianmei Cao, Nenghui Ye and Haidong Ding and has published in prestigious journals such as Angewandte Chemie International Edition, The Plant Cell and The Science of The Total Environment.

In The Last Decade

Mingyi Jiang

81 papers receiving 5.7k citations

Hit Papers

Effect of Abscisic Acid on Active Oxygen Species, Antioxi... 2001 2026 2009 2017 2001 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyi Jiang China 40 5.4k 2.4k 186 130 127 85 5.9k
Pedro Díaz‐Vivancos Spain 36 4.2k 0.8× 1.8k 0.8× 163 0.9× 140 1.1× 68 0.5× 79 5.1k
Byung‐Wook Yun South Korea 45 5.7k 1.1× 2.5k 1.0× 206 1.1× 115 0.9× 91 0.7× 152 6.9k
Sneh L. Singla‐Pareek India 49 6.8k 1.3× 3.1k 1.3× 184 1.0× 204 1.6× 95 0.7× 164 8.1k
Byoung Ryong Jeong South Korea 35 4.2k 0.8× 1.5k 0.6× 124 0.7× 81 0.6× 126 1.0× 254 5.0k
Joaquim Albenísio Gomes da Silveira Brazil 42 4.6k 0.9× 1.5k 0.6× 113 0.6× 238 1.8× 112 0.9× 135 5.2k
Martin Gollery United States 10 3.8k 0.7× 2.1k 0.9× 181 1.0× 64 0.5× 114 0.9× 13 4.7k
Moshe Sagi Israel 35 3.6k 0.7× 1.6k 0.7× 93 0.5× 120 0.9× 163 1.3× 81 4.7k
Maria Concetta de Pinto Italy 33 3.4k 0.6× 1.7k 0.7× 199 1.1× 89 0.7× 92 0.7× 73 4.2k
Cheng‐Bin Xiang China 44 5.9k 1.1× 3.5k 1.5× 212 1.1× 189 1.5× 122 1.0× 99 6.9k
Kun‐Ming Chen China 32 3.3k 0.6× 1.1k 0.5× 166 0.9× 126 1.0× 76 0.6× 90 3.8k

Countries citing papers authored by Mingyi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyi Jiang. A scholar is included among the top collaborators of Mingyi 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 Mingyi Jiang. Mingyi 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.
Jiang, Mingyi, Zhiqian Yu, Fei Wang, et al.. (2025). Reductant‐Free Enantioselective Aza ‐Reformatsky Reaction Enabled by Synergistic Visible Light Photocatalysis and Lewis Acid Catalysis. Angewandte Chemie. 137(17). 1 indexed citations
2.
Xu, Xihui, Yannong Dou, Chunfang Zhao, et al.. (2025). Rhizosphere microbes enhance plant resistance to cadmium through a root ROS-microbial IAA-root DNA methylation interkingdom signaling pathway. Cell Reports. 44(11). 116491–116491. 1 indexed citations
3.
Zhang, Gang, et al.. (2024). Basic helix-loop-helix transcription factor OsbHLH110 positively regulates abscisic acid biosynthesis and salinity tolerance in rice. Plant Physiology and Biochemistry. 207. 108423–108423. 7 indexed citations
4.
Li, Chunfang, et al.. (2024). Evolving the Whale Optimization Algorithm: The Development and Analysis of MISWOA. Biomimetics. 9(10). 639–639. 3 indexed citations
6.
Jiang, Mingyi, Chen Li, Yan Zhou, et al.. (2024). The MAPK/ERK signaling pathway involved in Raddeanin A induces apoptosis via the mitochondrial pathway and G2 phase arrest in multiple myeloma. Scientific Reports. 14(1). 29061–29061. 1 indexed citations
7.
Chen, Dan, et al.. (2023). A B‐box transcription factor OsBBX17 regulates saline‐alkaline tolerance through the MAPK cascade pathway in rice. New Phytologist. 241(5). 2158–2175. 17 indexed citations
8.
Ni, Lan, et al.. (2022). OsDMI3‐mediated OsUXS3 phosphorylation improves oxidative stress tolerance by modulating OsCATB protein abundance in rice. Journal of Integrative Plant Biology. 64(5). 1087–1101. 10 indexed citations
10.
Ni, Lan, Huan Zhang, Xi Li, et al.. (2018). Abscisic Acid Inhibits Rice Protein Phosphatase PP45 via H 2 O 2 and Relieves Repression of the Ca 2+ /CaM-Dependent Protein Kinase DMI3. The Plant Cell. 31(1). 128–152. 70 indexed citations
11.
Ni, Lan, Libo Liu, Xi Li, et al.. (2015). ZmABA2, an interacting protein of ZmMPK5, is involved in abscisic acid biosynthesis and functions. Plant Biotechnology Journal. 14(2). 771–782. 28 indexed citations
12.
Zhu, Yuan, Yu Sheng, Juan Zhang, et al.. (2015). ABA Affects Brassinosteroid-Induced Antioxidant Defense via ZmMAP65‐1a in Maize Plants. Plant and Cell Physiology. 56(7). 1442–1455. 15 indexed citations
13.
Zhang, Jianhua, Nenghui Ye, Ji Cao, Mingpu Tan, & Mingyi Jiang. (2010). ZmMPK5 is required for the NADPH oxidase-mediated self-propagation of apoplastic H2O2 in brassinosteroid-induced antioxidant defence in leaves of maize. Journal of Experimental Botany. 61(15). 4399–4411. 115 indexed citations
14.
Sang, Jianrong, Aying Zhang, Fan Lin, Mingpu Tan, & Mingyi Jiang. (2008). Cross-talk between calcium-calmodulin and nitric oxide in abscisic acid signaling in leaves of maize plants. Cell Research. 18(5). 577–588. 53 indexed citations
15.
Jiang, Mingyi & Jianhua Zhang. (2004). Abscisic Acid and Antioxidant Defense in Plant Cells. Zhiwu xuebao. 46(1). 1–9. 87 indexed citations
16.
Jiang, Mingyi. (1999). Generation of Hydroxyl Radicals and Its Relation to Cellular Oxidative Damage in Plants Subjected to Water Stress. Journal of Integrative Plant Biology. 41(3). 12 indexed citations
17.
Jiang, Mingyi, et al.. (1996). Involvement of Singlet Oxygen in the Breakdown of Photosynthetic Pigments in the Leaves of Rice Seedling Exposed to Osmotic Stress and Light. Journal of Integrative Plant Biology. 38(10). 1 indexed citations
18.
Jiang, Mingyi, et al.. (1996). Iron-catalysed lipid peroxidation in rice seedlings under osmotic stress. 22(1). 6–12. 2 indexed citations
19.
Jiang, Mingyi, et al.. (1994). Active oxygen damage effect of chlorophyll degradation in rice seedlings under osmotic stress. Zhiwu xuebao. 36(4). 289–295. 33 indexed citations
20.
Jiang, Mingyi, et al.. (1964). [PHARMACOLOGICAL STUDIES ON MAGNOFLORINE, A HYPOTENSIVE PRINCIPLE FROM TU QING MU XIANG].. PubMed. 11. 42–9. 6 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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