Ming Chi

1.0k total citations
37 papers, 564 citations indexed

About

Ming Chi is a scholar working on Plant Science, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ming Chi has authored 37 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Ming Chi's work include Horticultural and Viticultural Research (4 papers), Plant Stress Responses and Tolerance (4 papers) and Fermentation and Sensory Analysis (4 papers). Ming Chi is often cited by papers focused on Horticultural and Viticultural Research (4 papers), Plant Stress Responses and Tolerance (4 papers) and Fermentation and Sensory Analysis (4 papers). Ming Chi collaborates with scholars based in China, United States and Canada. Ming Chi's co-authors include Arkadiusz Z. Dudek, Changzheng Song, Zhenwen Zhang, Meiying Liu, Zhumei Xi, Jiangfei Meng, Yu Xiang, Basdeo Bhagwat, Guiliang Tang and W.D. Lane and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Ming Chi

33 papers receiving 548 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 Chi China 13 302 165 100 89 85 37 564
Morteza Atri Iran 16 166 0.5× 335 2.0× 84 0.8× 170 1.9× 48 0.6× 70 747
Ying Meng China 15 240 0.8× 298 1.8× 20 0.2× 140 1.6× 30 0.4× 40 744
Xinhua Yang China 15 265 0.9× 431 2.6× 19 0.2× 120 1.3× 51 0.6× 32 754
Roberta Biserni Italy 5 115 0.4× 88 0.5× 15 0.1× 85 1.0× 144 1.7× 10 454
Jian Zang China 16 113 0.4× 213 1.3× 16 0.2× 122 1.4× 67 0.8× 49 580
Linping Hu China 14 94 0.3× 303 1.8× 15 0.1× 61 0.7× 43 0.5× 29 589
Zijian Guo China 16 157 0.5× 638 3.9× 68 0.7× 55 0.6× 43 0.5× 34 914
Ya-Jun Yang China 12 56 0.2× 371 2.2× 30 0.3× 70 0.8× 51 0.6× 16 564
Jan Grawé Sweden 18 176 0.6× 265 1.6× 194 1.9× 56 0.6× 62 0.7× 31 746

Countries citing papers authored by Ming Chi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Chi. A scholar is included among the top collaborators of Ming Chi 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 Chi. Ming Chi 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.
Zhang, Fan, Longfei Gao, Dinakaran Elango, et al.. (2025). Correlation analysis of transcriptome and metabolomics and functional study of Galactinol synthase gene (VcGolS3) of blueberry under salt stress. Plant Molecular Biology. 115(1). 27–27. 2 indexed citations
2.
Chi, Ming, et al.. (2024). Genome-wide analysis of polyphenol oxidase gene family in Solanum tuberosum and functional identification of StuPPO9 in regulating tolerance to Phytophthora infestans. Physiological and Molecular Plant Pathology. 132. 102310–102310. 2 indexed citations
3.
Chi, Ming, et al.. (2024). Assessing high school students’ chemical thinking using an essential questions-perspective framework. Chemistry Education Research and Practice. 25(4). 1143–1158. 1 indexed citations
4.
Wei, Ting, Hong Li, Yuyao Wang, et al.. (2024). Alleviation of cadmium toxicity and minimizing its accumulation in rice plants by methyl jasmonate: Performance and mechanisms. Journal of Biotechnology. 398. 133–145. 5 indexed citations
5.
Lü, Lin, Wenbin Zhang, Ming Chi, et al.. (2023). Comprehensive characterization and expression analysis of enzymatic antioxidant gene families in passion fruit (Passiflora edulis). iScience. 26(11). 108329–108329. 5 indexed citations
6.
Chi, Ming, et al.. (2023). A systematic review on the development of radiosensitizers, with cancer selectivity, for radiotherapy using ionizing radiation. SHILAP Revista de lepidopterología. 10(2). 89–110. 1 indexed citations
7.
Sun, Zhiguang, Baoxiang Wang, Ming Chi, et al.. (2020). Screening of germplasm resources and QTL mapping for germinability under submerged condition in rice (Oryza sativa L.). ACTA AGRONOMICA SINICA. 47(1). 61–70. 4 indexed citations
8.
Wang, Baoxiang, Bo Xu, Yan Liu, et al.. (2019). Variation of drought resistance of rice genotypes released in different years in China. Journal of the Science of Food and Agriculture. 99(9). 4430–4438. 7 indexed citations
9.
Liu, Yan, Baoxiang Wang, Jian Li, et al.. (2017). Salt-response analysis in two rice cultivars at seedling stage. Acta Physiologiae Plantarum. 39(10). 19 indexed citations
10.
Chi, Ming, Basdeo Bhagwat, Guiliang Tang, & Yu Xiang. (2016). Knockdown of Polyphenol Oxidase Gene Expression in Potato (Solanum tuberosum L.) with Artificial MicroRNAs. Methods in molecular biology. 1405. 163–178. 5 indexed citations
11.
Chi, Ming, et al.. (2015). Bioinformatic prediction of upstream microRNAs of PPO and novel microRNAs in potato. Canadian Journal of Plant Science. 95(5). 871–877. 5 indexed citations
12.
Chi, Ming, Basdeo Bhagwat, W.D. Lane, et al.. (2014). Reduced polyphenol oxidase gene expression and enzymatic browning in potato (Solanum tuberosum L.) with artificial microRNAs. BMC Plant Biology. 14(1). 62–62. 109 indexed citations
13.
Dudek, Arkadiusz Z., Ahmad Raza, Ming Chi, et al.. (2012). Brain Metastases from Renal Cell Carcinoma in the Era of Tyrosine Kinase Inhibitors. Clinical Genitourinary Cancer. 11(2). 155–160. 39 indexed citations
14.
Chi, Ming, et al.. (2012). Primary Hepatic Leiomyosarcoma in Adults: Analysis of Prognostic Factors. Onkologie. 35(4). 210–214. 20 indexed citations
15.
Chi, Ming, et al.. (2012). Subcutaneous Diffuse Large B-Cell Lymphoma with Intraocular Involvement. Future Oncology. 8(6). 757–760. 3 indexed citations
16.
Kersey, Margaret, Ming Chi, & Diana B. Cutts. (2011). Anaemia, lead poisoning and vitamin D deficiency in low-income children: do current screening recommendations match the burden of illness?. Public Health Nutrition. 14(8). 1424–1428. 8 indexed citations
17.
Chi, Ming & Arkadiusz Z. Dudek. (2011). Vaccine therapy for metastatic melanoma. Melanoma Research. 21(3). 165–174. 24 indexed citations
18.
Chi, Ming, et al.. (2011). A Primary Biliary Diffuse Large B-Cell Lymphoma Mimicking Klatskin Tumor in an HIV Patient. Onkologie. 34(10). 555–556. 3 indexed citations
19.
Liu, Feng, Wei Hu, Shu‐Jian Cui, et al.. (2007). Insight into the host–parasite interplay by proteomic study of host proteins copurified with the human parasite, Schistosoma japonicum. PROTEOMICS. 7(3). 450–462. 26 indexed citations
20.
Liu, Feng, Jiong Lu, Huahua Fan, et al.. (2006). Insights into human CD34 + hematopoietic stem/progenitor cells through a systematically proteomic survey coupled with transcriptome. PROTEOMICS. 6(9). 2673–2692. 19 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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