Ming Huang

1.2k total citations
49 papers, 819 citations indexed

About

Ming Huang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ming Huang has authored 49 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 22 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Ming Huang's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Phytoplasmas and Hemiptera pathogens (8 papers) and Rice Cultivation and Yield Improvement (7 papers). Ming Huang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Phytoplasmas and Hemiptera pathogens (8 papers) and Rice Cultivation and Yield Improvement (7 papers). Ming Huang collaborates with scholars based in China, United States and India. Ming Huang's co-authors include Zhiqiang Chen, Qiang Xu, Xiuxin Deng, Frederick G. Gmitter, Qibin Yu, Wuming Xiao, Tao Guo, Yongzhu Liu, Guili Yang and Dongliang Du and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Ming Huang

48 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Huang China 18 591 311 148 85 60 49 819
Nan He China 19 606 1.0× 392 1.3× 325 2.2× 83 1.0× 30 0.5× 46 948
Yoshikazu Hoshi Japan 15 585 1.0× 333 1.1× 238 1.6× 63 0.7× 72 1.2× 78 818
Jie Ye China 18 1.0k 1.7× 871 2.8× 84 0.6× 19 0.2× 20 0.3× 36 1.3k
James McCarthy France 18 369 0.6× 642 2.1× 70 0.5× 66 0.8× 14 0.2× 32 1.0k
Bingye Xue United States 14 277 0.5× 195 0.6× 55 0.4× 14 0.2× 84 1.4× 31 553
Yanhong Zhou China 9 713 1.2× 695 2.2× 27 0.2× 18 0.2× 46 0.8× 18 1.1k
Zhiqin Zhou China 14 328 0.6× 349 1.1× 42 0.3× 20 0.2× 60 1.0× 31 699
Jee Young Park South Korea 19 739 1.3× 905 2.9× 132 0.9× 15 0.2× 69 1.1× 58 1.2k
Zijing Chen China 14 497 0.8× 485 1.6× 69 0.5× 31 0.4× 13 0.2× 26 708

Countries citing papers authored by Ming Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Huang. A scholar is included among the top collaborators of Ming Huang 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 Huang. Ming Huang 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.
Zhao, Zhe, Jicheng Yue, Jinzhao Liu, et al.. (2023). Small Auxin Up RNA 56 (SAUR56) regulates heading date in rice. Molecular Breeding. 43(8). 62–62. 8 indexed citations
2.
Sun, Tong, Xinyi Wang, Jiafeng Wang, et al.. (2023). A new method for mutation inducing in rice by using DC electrophoresis bath and its mutagenic effects. Scientific Reports. 13(1). 6707–6707. 2 indexed citations
3.
Yue, Jicheng, et al.. (2022). RNA-Seq and Genome-Wide Association Studies Reveal Potential Genes for Rice Seed Shattering. International Journal of Molecular Sciences. 23(23). 14633–14633. 4 indexed citations
4.
Chen, Chun, Xin Lin, Jiafeng Wang, et al.. (2021). Characteristics of Fertility Transition Response to the Cumulative Effective Low Temperature in a Two-Line Male Sterile Rice Cultivar. Rice. 14(1). 71–71. 2 indexed citations
5.
Yu, Kailin, et al.. (2020). Proteome-wide Interrogation of Small GTPases Regulated by N6-Methyladenosine Modulators. Analytical Chemistry. 92(14). 10145–10152. 10 indexed citations
6.
Huang, Ming, et al.. (2020). Targeted Proteomic Analysis of Small GTPases in Murine Adipogenesis. Analytical Chemistry. 92(9). 6756–6763. 6 indexed citations
7.
Yao, Lixiao, Qibin Yu, Ming Huang, et al.. (2020). Comparative iTRAQ proteomic profiling of sweet orange fruit on sensitive and tolerant rootstocks infected by ‘Candidatus Liberibacter asiaticus’. PLoS ONE. 15(2). e0228876–e0228876. 6 indexed citations
8.
Mei, Liangyong, et al.. (2020). Bait Correlation Improves Interactor Identification by Tandem Mass Tag-Affinity Purification-Mass Spectrometry. Journal of Proteome Research. 19(4). 1565–1573. 7 indexed citations
9.
Huang, Ming, Martin Darvas, C. Dirk Keene, & Yinsheng Wang. (2019). Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer’s Disease Patients. Analytical Chemistry. 91(19). 12307–12314. 8 indexed citations
10.
Yang, Guili, Siping Chen, Likai Chen, et al.. (2019). Development and utilization of functional KASP markers to improve rice eating and cooking quality through MAS breeding. Euphytica. 215(4). 15 indexed citations
12.
Huang, Ming, Mikeal L. Roose, Qibin Yu, et al.. (2018). Construction of High-Density Genetic Maps and Detection of QTLs Associated With Huanglongbing Tolerance in Citrus. Frontiers in Plant Science. 9. 1694–1694. 43 indexed citations
13.
Yu, Qibin, Chunxian Chen, Dongliang Du, et al.. (2017). Reprogramming of a defense signaling pathway in rough lemon and sweet orange is a critical element of the early response to ‘Candidatus Liberibacter asiaticus’. Horticulture Research. 4(1). 17063–17063. 45 indexed citations
15.
Liu, Hao, Shuangyu Dong, Wei Liu, et al.. (2017). NBS-LRR Protein Pik-H4 Interacts with OsBIHD1 to Balance Rice Blast Resistance and Growth by Coordinating Ethylene-Brassinosteroid Pathway. Frontiers in Plant Science. 8. 127–127. 37 indexed citations
16.
Miao, Weili, Yongsheng Xiao, Lei Guo, et al.. (2016). A High-Throughput Targeted Proteomic Approach for Comprehensive Profiling of Methylglyoxal-Induced Perturbations of the Human Kinome. Analytical Chemistry. 88(19). 9773–9779. 20 indexed citations
17.
Yu, Qibin, Anne Plotto, Elizabeth A. Baldwin, et al.. (2015). Proteomic and metabolomic analyses provide insight into production of volatile and non-volatile flavor components in mandarin hybrid fruit. BMC Plant Biology. 15(1). 76–76. 29 indexed citations
18.
Huang, Ming, Liyun Chen, & Zhiqiang Chen. (2015). Diallel analysis of combining ability and heterosis for yield and yield components in rice by using positive loci. Euphytica. 205(1). 37–50. 38 indexed citations
19.
Huang, Ming, Qiang Xu, & Xiuxin Deng. (2014). l-Ascorbic acid metabolism during fruit development in an ascorbate-rich fruit crop chestnut rose (Rosa roxburghii Tratt). Journal of Plant Physiology. 171(14). 1205–1216. 73 indexed citations
20.
Hou, Wei, et al.. (2008). A nonlinear mixed-effect mixture model for functional mapping of dynamic traits. Heredity. 101(4). 321–328. 7 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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