Ming Chen

33.8k total citations · 2 hit papers
569 papers, 17.3k citations indexed

About

Ming Chen is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Ming Chen has authored 569 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 332 papers in Molecular Biology, 216 papers in Plant Science and 57 papers in Cancer Research. Recurrent topics in Ming Chen's work include Plant Molecular Biology Research (118 papers), Plant Stress Responses and Tolerance (65 papers) and Genomics and Phylogenetic Studies (53 papers). Ming Chen is often cited by papers focused on Plant Molecular Biology Research (118 papers), Plant Stress Responses and Tolerance (65 papers) and Genomics and Phylogenetic Studies (53 papers). Ming Chen collaborates with scholars based in China, United States and Germany. Ming Chen's co-authors include Zhao‐Shi Xu, You‐Zhi Ma, Peijing Zhang, Dijun Chen, Liancheng Li, Yijun Meng, Qi Chen, Edgar B. Cahoon, Xianwen Meng and Yongbin Zhou and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Ming Chen

549 papers receiving 17.0k citations

Hit Papers

Non-Coding RNAs and their Integrated Networks 2018 2026 2020 2023 2019 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Chen China 67 9.3k 8.9k 1.7k 926 656 569 17.3k
Yi Zhang China 49 14.3k 1.5× 7.3k 0.8× 3.7k 2.2× 1.5k 1.6× 749 1.1× 260 21.9k
Baohong Zhang United States 61 9.4k 1.0× 7.8k 0.9× 3.7k 2.1× 631 0.7× 386 0.6× 278 16.2k
Lei Kong China 30 7.3k 0.8× 4.4k 0.5× 2.9k 1.7× 1.4k 1.5× 537 0.8× 102 13.0k
Jun Yu China 54 9.0k 1.0× 4.7k 0.5× 1.4k 0.8× 2.7k 2.9× 1.2k 1.9× 340 14.5k
Shilin Chen China 73 14.0k 1.5× 7.3k 0.8× 710 0.4× 2.4k 2.6× 1.4k 2.1× 752 23.5k
Ana Conesa Spain 51 10.3k 1.1× 5.0k 0.6× 1.6k 1.0× 2.3k 2.4× 1.3k 2.0× 165 17.5k
Ruiqiang Li China 31 9.6k 1.0× 4.4k 0.5× 1.4k 0.8× 2.8k 3.0× 1.7k 2.6× 81 15.3k
Qing Liu China 56 7.0k 0.7× 4.1k 0.5× 801 0.5× 586 0.6× 334 0.5× 454 12.7k
Zhang Zhang China 53 7.2k 0.8× 2.8k 0.3× 2.0k 1.2× 1.4k 1.5× 753 1.1× 357 12.4k
Stefano Mancuso Italy 65 3.7k 0.4× 6.7k 0.7× 549 0.3× 834 0.9× 321 0.5× 456 14.5k

Countries citing papers authored by Ming Chen

Since Specialization
Citations

This map shows the geographic impact of 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 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 Ming Chen more than expected).

Fields of papers citing papers by Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Chen. A scholar is included among the top collaborators of 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 Ming Chen. 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.
Khan, Muhammad Ejaz, Muhammad Aamir, Ming Chen, Yiyang Sun, & Yong‐Hyun Kim. (2025). Interfacial thermal resistance modulation in low-dimensional graphene/boron nitride Heterostructures for energy harvesting applications. FlatChem. 51. 100846–100846. 1 indexed citations
2.
Chen, Ming, et al.. (2025). Warming effects on the emission pathways of N2O and CH4 and the role of water column in shallow eutrophic lakes. The Science of The Total Environment. 966. 178705–178705. 1 indexed citations
3.
Gao, Yuan, Jiacheng Zheng, Mengjie Zhao, et al.. (2024). GmBSK1-GmGSK1-GmBES1.5 regulatory module controls heat tolerance in soybean. Journal of Advanced Research. 73. 187–198. 4 indexed citations
4.
Chao, Haoyu, et al.. (2024). iSeq: an integrated tool to fetch public sequencing data. Bioinformatics. 40(11).
5.
Huang, Jianjian, Jie Chen, Min Shi, et al.. (2024). Genome assembly provides insights into the genome evolution of Baccaurea ramiflora Lour.. Scientific Reports. 14(1). 4867–4867. 1 indexed citations
6.
Zheng, Lei, Yuanxia Liu, Xinrui Wang, et al.. (2024). TaMYB-CC5 gene specifically expressed in root improve tolerance of phosphorus deficiency and drought stress in wheat. Plant Physiology and Biochemistry. 215. 109011–109011. 3 indexed citations
7.
Liu, Chang, Rong Wang, Tianyun Zhang, et al.. (2024). SpliceTransformer predicts tissue-specific splicing linked to human diseases. Nature Communications. 15(1). 9129–9129. 6 indexed citations
9.
Klink, B.U., et al.. (2024). Structural basis of α-latrotoxin transition to a cation-selective pore. Nature Communications. 15(1). 8551–8551. 2 indexed citations
10.
Chen, Yihuan, et al.. (2023). CRISPR-Cas13 in malaria parasite: Diagnosis and prospective gene function identification. Frontiers in Microbiology. 14. 1076947–1076947. 12 indexed citations
11.
Chen, Ming, et al.. (2023). Relationship of Apolipoprotein E with Alzheimer’s Disease and Other Neurological Disorders: An Updated Review. Neuroscience. 514. 123–140. 8 indexed citations
12.
Wang, Shang-Quan, Ming Chen, Kai Sun, et al.. (2023). [Salvianolic acid A contributes to cartilage endplate cell restoration by regulating miR-940 and miR-576-5p].. PubMed. 36(10). 982–9. 2 indexed citations
13.
Qu, Jiao, Fa Yang, Tao Zhu, et al.. (2022). A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys. Nature Communications. 13(1). 4069–4069. 33 indexed citations
14.
Li, Xue, Xianwen Meng, Wei Cong, et al.. (2018). Dissecting LncRNA Roles in Renal Cell Carcinoma Metastasis and Characterizing Genomic Heterogeneity by Single-Cell RNA-seq. Molecular Cancer Research. 16(12). 1879–1888. 21 indexed citations
15.
Chen, Dijun, Rongli Shi, Jean-Michel Pape, et al.. (2018). Predicting plant biomass accumulation from image-derived parameters. GigaScience. 7(2). 62 indexed citations
16.
Lü, Yuan, et al.. (2016). An Epistaxis Emergency Associated with Multiple Pollutants in Elementary Students.. PubMed. 29(12). 893–897. 1 indexed citations
17.
Zhao, Zhongchao, Zhengfu Zhou, Liang Li, et al.. (2014). A copper-responsive gene cluster is required for copper homeostasis and contributes to oxidative resistance in Deinococcus radiodurans R1. Molecular BioSystems. 10(10). 2607–2616. 10 indexed citations
18.
Zhou, Zhengfu, Wei Zhang, Ming Chen, et al.. (2011). Genome-wide transcriptome and proteome analysis of Escherichia coli expressing IrrE, a global regulator of Deinococcus radiodurans. Molecular BioSystems. 7(5). 1613–1620. 27 indexed citations
19.
Hofestädt, Ralf, et al.. (2010). Modeling of Cell-to-Cell Communication Processes with Petri Nets Using the Example of Quorum Sensing. In Silico Biology. 10(1,2). 27–48. 12 indexed citations
20.
Chen, Shuangyan, Xiu‐Qing Li, Aiguo Zhao, et al.. (2009). Genes and Pathways Induced in Early Response to Defoliation in Rice Seedlings. Current Issues in Molecular Biology. 11(2). 81–100. 26 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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