Ming‐Che Shih

5.7k total citations
81 papers, 4.1k citations indexed

About

Ming‐Che Shih is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Ming‐Che Shih has authored 81 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 53 papers in Molecular Biology and 10 papers in Biomedical Engineering. Recurrent topics in Ming‐Che Shih's work include Plant Molecular Biology Research (22 papers), Plant responses to water stress (20 papers) and Photosynthetic Processes and Mechanisms (17 papers). Ming‐Che Shih is often cited by papers focused on Plant Molecular Biology Research (22 papers), Plant responses to water stress (20 papers) and Photosynthetic Processes and Mechanisms (17 papers). Ming‐Che Shih collaborates with scholars based in Taiwan, United States and China. Ming‐Che Shih's co-authors include Howard M. Goodman, Fu‐Chiun Hsu, Hsiao-Ping Peng, Shu‐Jen Chou, Hsing‐Yi Cho, Wen‐Hsiung Li, Shin‐Han Shiu, Choun‐Sea Lin, Wan‐Chieh Chen and Gary N. Gussin and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ming‐Che Shih

81 papers receiving 4.0k 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‐Che Shih Taiwan 38 2.7k 2.6k 390 313 274 81 4.1k
Trevor H. Yeats United States 23 2.8k 1.1× 1.6k 0.6× 171 0.4× 160 0.5× 105 0.4× 29 3.6k
Dominique Roby France 47 5.7k 2.1× 2.9k 1.1× 211 0.5× 186 0.6× 311 1.1× 80 6.5k
Tuan‐Hua David Ho United States 47 5.4k 2.0× 3.5k 1.4× 168 0.4× 357 1.1× 847 3.1× 102 6.7k
Jinpu Jin China 11 5.5k 2.1× 4.5k 1.7× 195 0.5× 165 0.5× 120 0.4× 13 6.9k
Brian E. Ellis Canada 48 5.6k 2.1× 4.6k 1.8× 226 0.6× 490 1.6× 385 1.4× 111 7.2k
Mark A. Taylor United Kingdom 35 2.8k 1.0× 2.0k 0.8× 147 0.4× 89 0.3× 207 0.8× 112 4.2k
Teemu H. Teeri Finland 44 3.3k 1.2× 4.0k 1.6× 459 1.2× 309 1.0× 849 3.1× 124 5.1k
Andy Pereira United States 44 7.3k 2.7× 4.4k 1.7× 285 0.7× 147 0.5× 302 1.1× 118 8.3k
Olof Olsson Sweden 37 2.7k 1.0× 2.9k 1.1× 100 0.3× 203 0.6× 418 1.5× 80 4.2k
Aureliano Bombarely United States 31 2.9k 1.1× 2.2k 0.9× 312 0.8× 85 0.3× 246 0.9× 86 4.0k

Countries citing papers authored by Ming‐Che Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Che Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Che Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Che Shih. A scholar is included among the top collaborators of Ming‐Che Shih 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‐Che Shih. Ming‐Che Shih 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.
Sun, Wanting, Sy‐Chyi Cheng, Ya‐Ting Chao, et al.. (2023). Sugars and sucrose transporters in pollinia ofPhalaenopsis aphrodite(Orchidaceae). Journal of Experimental Botany. 74(8). 2556–2571. 1 indexed citations
2.
Lin, Chih-Cheng, et al.. (2023). SUB1A-1 anchors a regulatory cascade for epigenetic and transcriptional controls of submergence tolerance in rice. PNAS Nexus. 2(7). pgad229–pgad229. 16 indexed citations
3.
Shih, Ming‐Che, et al.. (2023). Group VII ethylene response factors forming distinct regulatory loops mediate submergence responses. PLANT PHYSIOLOGY. 194(3). 1745–1763. 6 indexed citations
4.
Suen, Der‐Fen, et al.. (2023). Hypoxia response protein HRM1 modulates the activity of mitochondrial electron transport chain in Arabidopsis under hypoxic stress. New Phytologist. 239(4). 1315–1331. 13 indexed citations
5.
6.
Lin, Choun‐Sea, Chen‐Tran Hsu, Po‐Xing Zheng, et al.. (2022). DNA-free CRISPR-Cas9 gene editing of wild tetraploid tomato Solanum peruvianum using protoplast regeneration. PLANT PHYSIOLOGY. 188(4). 1917–1930. 52 indexed citations
7.
Cho, Hsing‐Yi, et al.. (2022). Ethylene modulates translation dynamics in Arabidopsis under submergence via GCN2 and EIN2. Science Advances. 8(22). eabm7863–eabm7863. 27 indexed citations
8.
Ko, Swee‐Suak, et al.. (2020). Blue Light Acclimation Reduces the Photoinhibition of Phalaenopsis aphrodite (Moth Orchid). International Journal of Molecular Sciences. 21(17). 6167–6167. 15 indexed citations
9.
Chen, Wen‐Jen, Chunyi Chen, Feng-Chia Hsieh, et al.. (2020). Whole Genome Sequencing and Tn5-Insertion Mutagenesis of Pseudomonas taiwanensis CMS to Probe Its Antagonistic Activity Against Rice Bacterial Blight Disease. International Journal of Molecular Sciences. 21(22). 8639–8639. 4 indexed citations
10.
Cho, Hsing‐Yi, Elena Loreti, Ming‐Che Shih, & Pierdomenico Perata. (2019). Energy and sugar signaling during hypoxia. New Phytologist. 229(1). 57–63. 75 indexed citations
11.
Chen, Chun‐Yi, et al.. (2019). Analysis of genetic diversity of Xanthomonas oryzae pv. oryzae populations in Taiwan. Scientific Reports. 9(1). 316–316. 11 indexed citations
12.
Cho, Hsing‐Yi, Mei‐Yeh Jade Lu, & Ming‐Che Shih. (2018). The SnRK1‐eIFiso4G1 signaling relay regulates the translation of specific mRNAs in Arabidopsis under submergence. New Phytologist. 222(1). 366–381. 52 indexed citations
13.
Shih, Ming‐Che, et al.. (2016). Ethylene-Regulated Glutamate Dehydrogenase Fine-Tunes Metabolism during Anoxia-Reoxygenation. PLANT PHYSIOLOGY. 172(3). 1548–1562. 53 indexed citations
14.
Cho, Hsing‐Yi, et al.. (2016). Quantitative phosphoproteomics of protein kinase SnRK1 regulated protein phosphorylation in Arabidopsis under submergence. Journal of Experimental Botany. 67(9). 2745–2760. 93 indexed citations
15.
Chou, Shu‐Jen, et al.. (2014). Ethylene plays an essential role in the recovery ofArabidopsis during post‐anaerobiosis reoxygenation. Plant Cell & Environment. 37(10). 2391–2405. 60 indexed citations
16.
17.
Hsu, Fu‐Chiun, et al.. (2013). Submergence Confers Immunity Mediated by the WRKY22 Transcription Factor in Arabidopsis. The Plant Cell. 25(7). 2699–2713. 191 indexed citations
18.
Peng, Hsiao-Ping, et al.. (2005). Differential expression of genes encoding 1-aminocyclopropane-1-carboxylate synthase in Arabidopsis during hypoxia. Plant Molecular Biology. 58(1). 15–25. 74 indexed citations
19.
Guo, Lankai, et al.. (2001). Promoter analysis of the nuclear gene encoding the chloroplast glyceraldehyde-3-phosphate dehydrogenase B subunit of Arabidopsis thaliana. Plant Molecular Biology. 46(2). 131–141. 48 indexed citations
20.
Shih, Ming‐Che. (1994). Cloning and Sequencing of a cDNA Clone Encoding the Cytosolic Triose-Phosphate Isomerase from Arabidopsis thaliana. PLANT PHYSIOLOGY. 104(3). 1103–1104. 5 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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