Kun‐Ming Chen

5.1k total citations · 2 hit papers
90 papers, 3.8k citations indexed

About

Kun‐Ming Chen is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Kun‐Ming Chen has authored 90 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 49 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Kun‐Ming Chen's work include Plant Stress Responses and Tolerance (38 papers), Plant Molecular Biology Research (20 papers) and Photosynthetic Processes and Mechanisms (17 papers). Kun‐Ming Chen is often cited by papers focused on Plant Stress Responses and Tolerance (38 papers), Plant Molecular Biology Research (20 papers) and Photosynthetic Processes and Mechanisms (17 papers). Kun‐Ming Chen collaborates with scholars based in China, United States and Pakistan. Kun‐Ming Chen's co-authors include Haijun Gong, Zhang Chenglie, Suo‐Min Wang, Xue‐Yi Zhu, Wenqiang Li, Wenting Liu, Guo-Cang Chen, Abdullah Shalmani, Tai Li and Xiu‐Qing Jing 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

Kun‐Ming Chen

88 papers receiving 3.7k citations

Hit Papers

Silicon alleviates oxidative damage of wheat plants in po... 2005 2026 2012 2019 2005 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun‐Ming Chen China 32 3.3k 1.1k 362 166 126 90 3.8k
Humira Sonah India 39 5.0k 1.5× 1.2k 1.1× 739 2.0× 179 1.1× 146 1.2× 130 5.7k
Maria Concetta de Pinto Italy 33 3.4k 1.0× 1.7k 1.5× 119 0.3× 199 1.2× 89 0.7× 73 4.2k
Yinbo Gan China 35 2.7k 0.8× 1.2k 1.1× 118 0.3× 361 2.2× 92 0.7× 75 3.4k
Gaurav Zinta India 29 2.2k 0.7× 686 0.6× 57 0.2× 187 1.1× 117 0.9× 60 3.0k
Min Yu China 28 2.0k 0.6× 496 0.4× 94 0.3× 258 1.6× 74 0.6× 119 2.6k
Rupesh Deshmukh India 50 6.5k 2.0× 1.6k 1.4× 1.1k 3.0× 294 1.8× 176 1.4× 190 7.4k
Raheem Shahzad South Korea 36 3.0k 0.9× 877 0.8× 78 0.2× 153 0.9× 82 0.7× 76 3.8k
Liusheng Duan China 35 3.3k 1.0× 871 0.8× 125 0.3× 93 0.6× 619 4.9× 125 3.9k
Sowbiya Muneer South Korea 29 2.1k 0.6× 528 0.5× 211 0.6× 90 0.5× 52 0.4× 72 2.4k
Huwei Yuan China 21 1.6k 0.5× 671 0.6× 58 0.2× 311 1.9× 70 0.6× 67 2.3k

Countries citing papers authored by Kun‐Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Ming Chen. 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 Kun‐Ming Chen. The network helps show where Kun‐Ming Chen may publish in the future.

Co-authorship network of co-authors of Kun‐Ming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Ming Chen. A scholar is included among the top collaborators of Kun‐Ming Chen 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 Kun‐Ming Chen. Kun‐Ming Chen 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.
Hou, Xi‐Miao, et al.. (2025). NAL1 forms a molecular cage to regulate FZP phase separation. Proceedings of the National Academy of Sciences. 122(15). e2419961122–e2419961122. 1 indexed citations
2.
Chen, Kun‐Ming, Nicolle M. Krebs, Yuan‐Wan Sun, et al.. (2024). Inhibition of benzo[a]pyrene-induced DNA adduct in buccal cells of smokers by black raspberry lozenges. Carcinogenesis. 46(1). 1 indexed citations
3.
Shalmani, Abdullah, Tai Li, Ran Zhang, et al.. (2023). OsBBX19-OsBTB97/OsBBX11 module regulates spikelet development and yield production in rice. Plant Science. 334. 111779–111779. 4 indexed citations
4.
Xiong, Haiyan, Ivan Reyna‐Llorens, Yi Shi, et al.. (2021). Photosynthesis-independent production of reactive oxygen species in the rice bundle sheath during high light is mediated by NADPH oxidase. Proceedings of the National Academy of Sciences. 118(25). 42 indexed citations
5.
Shalmani, Abdullah, Izhar Muhammad, Dong Zhang, et al.. (2021). The TAZ domain-containing proteins play important role in the heavy metals stress biology in plants. Environmental Research. 197. 111030–111030. 18 indexed citations
6.
Yang, Zi, Fan Yang, Haitao Wu, et al.. (2021). Heavy metal transporters: Functional mechanisms, regulation, and application in phytoremediation. The Science of The Total Environment. 809. 151099–151099. 193 indexed citations breakdown →
7.
Shalmani, Abdullah, Yunbo Chen, Izhar Muhammad, et al.. (2021). The highly interactive BTB domain targeting other functional domains to diversify the function of BTB proteins in rice growth and development. International Journal of Biological Macromolecules. 192. 1311–1324. 16 indexed citations
8.
Shi, Yi, Yanli Chang, Haitao Wu, et al.. (2020). OsRbohB-mediated ROS production plays a crucial role in drought stress tolerance of rice. Plant Cell Reports. 39(12). 1767–1784. 69 indexed citations
9.
Li, Tai, Binbin Li, Pengpeng Zhang, et al.. (2019). Calmodulin Is the Fundamental Regulator of NADK-Mediated NAD Signaling in Plants. Frontiers in Plant Science. 10. 681–681. 16 indexed citations
10.
11.
Yuan, Bo, Linbo Yao, Tiantian Ma, et al.. (2018). Genome-Wide Identification and Functional Analysis of NADPH Oxidase Family Genes in Wheat During Development and Environmental Stress Responses. Frontiers in Plant Science. 9. 906–906. 34 indexed citations
12.
Yang, Shuaiqi, Wenqiang Li, Pengfei Gan, et al.. (2016). REL2, A Gene Encoding An Unknown Function Protein which Contains DUF630 and DUF632 Domains Controls Leaf Rolling in Rice. Rice. 9(1). 37–37. 65 indexed citations
13.
Chen, Kun‐Ming, et al.. (2013). Progress and problems of hydrogen production by photosynthetic bacteria.. Renewable Energy Resources. 31(9). 94–102. 1 indexed citations
14.
Chen, Kun‐Ming. (2012). ATMYB123 and ATKOR1 Genes Involve in the Development of Roots in Arabidopsis thaliana. Xibei zhiwu xuebao. 2 indexed citations
15.
Guttenplan, Joseph B., Wieslawa Kosinska, Kun‐Ming Chen, et al.. (2011). Mutagenesis and carcinogenesis induced by dibenzo[a,l]pyrene in the mouse oral cavity: a potential new model for oral cancer. International Journal of Cancer. 130(12). 2783–2790. 47 indexed citations
16.
Chen, Kun‐Ming, et al.. (2004). Biosynthesis, transport and function of ascorbate in plants. Xibei zhiwu xuebao. 24(2). 329–336. 3 indexed citations
17.
Chen, Kun‐Ming, et al.. (2004). Glutathione metabolism and environmental stresses in plants. Xibei zhiwu xuebao. 24(6). 1119–1130. 11 indexed citations
18.
Chen, Kun‐Ming, et al.. (2003). Redox system of plasma membrane in spring wheat leaves and its response to gradual drought stress. Xibei zhiwu xuebao. 23(2). 229–234. 4 indexed citations
19.
Chen, Kun‐Ming. (2000). Polyamine Contents in the Spring Wheat Leaves and Their Relations to Drought resistance. 26(5). 381–386. 8 indexed citations
20.
Zhang, Jie, et al.. (1992). The Transmembrane Potential of HCG Antibody-Binding Membrane. Acta Physico-Chimica Sinica. 8(4). 523–526. 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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