Ming Hu

1.4k total citations
52 papers, 982 citations indexed

About

Ming Hu is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Ming Hu has authored 52 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 21 papers in Molecular Biology and 10 papers in Cell Biology. Recurrent topics in Ming Hu's work include Plant Pathogenic Bacteria Studies (22 papers), Plant-Microbe Interactions and Immunity (19 papers) and Banana Cultivation and Research (9 papers). Ming Hu is often cited by papers focused on Plant Pathogenic Bacteria Studies (22 papers), Plant-Microbe Interactions and Immunity (19 papers) and Banana Cultivation and Research (9 papers). Ming Hu collaborates with scholars based in China, Canada and United States. Ming Hu's co-authors include Jianuan Zhou, Brian Miki, Yang Xue, Lian‐Hui Zhang, Guang‐Tao Lu, Hélène Labbé, Keqiang Wu, Lining Tian, Teresa Martin and Yun Wang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Ming Hu

49 papers receiving 965 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 Hu China 18 630 486 131 104 99 52 982
Joshua T. McNamara United States 6 278 0.4× 326 0.7× 52 0.4× 154 1.5× 82 0.8× 7 779
Jung‐Gun Kim United States 16 1.2k 1.9× 619 1.3× 54 0.4× 43 0.4× 60 0.6× 22 1.5k
Wim D’Haeze Belgium 20 1.0k 1.7× 452 0.9× 174 1.3× 42 0.4× 72 0.7× 51 1.6k
Shi‐En Lu United States 20 661 1.0× 338 0.7× 80 0.6× 32 0.3× 125 1.3× 59 1.1k
Martine Lautier France 14 637 1.0× 435 0.9× 121 0.9× 77 0.7× 46 0.5× 21 1.1k
Gongyou Chen China 25 1.9k 3.0× 514 1.1× 54 0.4× 57 0.5× 185 1.9× 119 2.2k
Yongjun Feng China 12 334 0.5× 329 0.7× 92 0.7× 30 0.3× 58 0.6× 36 702
Chengqiang Wang China 20 406 0.6× 610 1.3× 84 0.6× 85 0.8× 76 0.8× 75 1.1k
Kazuhiro Iiyama Japan 18 390 0.6× 451 0.9× 59 0.5× 92 0.9× 47 0.5× 84 911
Bryan Swingle United States 16 571 0.9× 319 0.7× 119 0.9× 32 0.3× 101 1.0× 40 882

Countries citing papers authored by Ming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Hu. A scholar is included among the top collaborators of Ming Hu 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 Hu. Ming Hu 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.
2.
Liu, Jie, Xiong Zhang, Rafaqat A. Gill, et al.. (2023). Functional and evolutionary study of MLO gene family in the regulation of Sclerotinia stem rot resistance in Brassica napus L.. SHILAP Revista de lepidopterología. 16(1). 86–86. 6 indexed citations
3.
Hu, Ming, Meili Xie, Xiaobo Cui, et al.. (2023). Characterization and Potential Function Analysis of the SRS Gene Family in Brassica napus. Genes. 14(7). 1421–1421. 3 indexed citations
4.
Hu, Ming, Yang Xue, Chuhao Li, et al.. (2023). Pseudomonas chlororaphis L5 and Enterobacter asburiae L95 biocontrol Dickeya soft rot diseases by quenching virulence factor modulating quorum sensing signal. Microbial Biotechnology. 16(11). 2145–2160. 7 indexed citations
5.
Gill, Rafaqat A., et al.. (2023). High-Throughput Association Mapping in Brassica napus L.: Methods and Applications. Methods in molecular biology. 2638. 67–91. 2 indexed citations
6.
Hu, Ming, Huilin Chen, Chuhao Li, et al.. (2023). Pseudomonas forestsoilum sp. nov. and P. tohonis biocontrol bacterial wilt by quenching 3-hydroxypalmitic acid methyl ester. Frontiers in Plant Science. 14. 1193297–1193297. 3 indexed citations
7.
Hu, Ming, Meili Xie, Xiaobo Cui, et al.. (2022). Genome-Wide Characterization of Trehalose-6-Phosphate Synthase Gene Family of Brassica napus and Potential Links with Agronomic Traits. International Journal of Molecular Sciences. 23(24). 15714–15714. 4 indexed citations
8.
Li, Chuhao, et al.. (2022). Comparative Pathogenomic Analysis of Two Banana Pathogenic Dickeya Strains Isolated from China and the Philippines. International Journal of Molecular Sciences. 23(21). 12758–12758. 3 indexed citations
9.
Hu, Ming, Yang Xue, Chuhao Li, et al.. (2022). Genomic and Functional Dissections of Dickeya zeae Shed Light on the Role of Type III Secretion System and Cell Wall-Degrading Enzymes to Host Range and Virulence. Microbiology Spectrum. 10(1). e0159021–e0159021. 14 indexed citations
10.
Chen, Shanshan, Ming Hu, Yang Xue, et al.. (2022). The integration host factor regulates multiple virulence pathways in bacterial pathogen Dickeya zeae MS2. Molecular Plant Pathology. 23(10). 1487–1507. 9 indexed citations
11.
Lv, Mingfa, Yufan Chen, Ming Hu, et al.. (2021). OhrR is a central transcriptional regulator of virulence in Dickeya zeae. Molecular Plant Pathology. 23(1). 45–59. 14 indexed citations
12.
Hu, Ming, Chuhao Li, Yang Xue, et al.. (2021). Isolation, Characterization, and Genomic Investigation of a Phytopathogenic Strain ofStenotrophomonas maltophilia. Phytopathology. 111(11). 2088–2099. 9 indexed citations
13.
Hu, Ming, et al.. (2021). First Report of Bacterial Soft Rot Disease on Taro Caused by Dickeya fangzhongdai in China. Plant Disease. 105(11). 3737–3737. 14 indexed citations
14.
Li, Wen‐Jun, Ming Hu, Yang Xue, et al.. (2020). Five Fungal Pathogens Are Responsible for Bayberry Twig Blight and Fungicides Were Screened for Disease Control. Microorganisms. 8(5). 689–689. 26 indexed citations
15.
Xue, Yang, Ming Hu, Shanshan Chen, et al.. (2020). Enterobacter asburiae and Pantoea ananatis Causing Rice Bacterial Blight in China. Plant Disease. 105(8). 2078–2088. 39 indexed citations
16.
Li, Jieling, Ming Hu, Yang Xue, et al.. (2020). Screening, Identification and Efficacy Evaluation of Antagonistic Bacteria for Biocontrol of Soft Rot Disease Caused by Dickeya zeae. Microorganisms. 8(5). 697–697. 48 indexed citations
17.
Lv, Mingfa, Ming Hu, Peng Li, et al.. (2019). A two‐component regulatory system VfmIH modulates multiple virulence traits in Dickeya zeae. Molecular Microbiology. 111(6). 1493–1509. 33 indexed citations
18.
Hu, Ming, Jieling Li, Ruiting Chen, et al.. (2018). Dickeya zeae strains isolated from rice, banana and clivia rot plants show great virulence differentials. BMC Microbiology. 18(1). 136–136. 46 indexed citations
19.
Hu, Ming, et al.. (2018). Genomic variation of spring,semi-winter and winter Brassica napus by high-depth DNA re-sequencing. 40(4). 469–478. 3 indexed citations
20.
Wu, Keqiang, K. A. Malik, Lining Tian, et al.. (2001). Enhancers and core promoter elements are essential for the activity of a cryptic gene activation sequence from tobacco, tCUP. Molecular Genetics and Genomics. 265(5). 763–770. 37 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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