Ming Qi

4.6k total citations · 1 hit paper
140 papers, 3.3k citations indexed

About

Ming Qi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ming Qi has authored 140 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 23 papers in Oncology and 20 papers in Cancer Research. Recurrent topics in Ming Qi's work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (8 papers) and Peptidase Inhibition and Analysis (7 papers). Ming Qi is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (8 papers) and Peptidase Inhibition and Analysis (7 papers). Ming Qi collaborates with scholars based in China, United States and United Kingdom. Ming Qi's co-authors include G. Stanley McKnight, Lijuan Deng, Rejean L. Idzerda, Dongmei Zhang, Jiaxu Chen, Eugene P. Brandon, Yuhe Lei, Qi Qi, Wen-Yu Lyu and Minfeng Chen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ming Qi

130 papers receiving 3.3k citations

Hit Papers

m6A modification: recent advances, anticancer targeted dr... 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. m6A modification: recent advances, anticancer targeted drug discovery and beyond
    2022 252 citations Lijuan Deng, Minfeng Chen et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Qi China 29 1.6k 513 471 428 349 140 3.3k
Kathrin Geiger Germany 37 2.1k 1.3× 379 0.7× 693 1.5× 395 0.9× 277 0.8× 137 4.9k
William M. Oldham United States 27 2.1k 1.3× 271 0.5× 473 1.0× 558 1.3× 290 0.8× 56 3.2k
Jun Guo China 26 1.7k 1.0× 425 0.8× 261 0.6× 317 0.7× 155 0.4× 75 3.5k
Mei Zhao China 40 1.9k 1.2× 928 1.8× 583 1.2× 610 1.4× 282 0.8× 134 4.5k
Katrin Marcus Germany 46 3.8k 2.4× 329 0.6× 338 0.7× 599 1.4× 391 1.1× 247 6.3k
Hai Hu China 25 1.8k 1.1× 502 1.0× 791 1.7× 211 0.5× 363 1.0× 143 3.0k
Li Ni China 35 1.4k 0.9× 208 0.4× 307 0.7× 297 0.7× 371 1.1× 137 3.7k
Zheng Zhang United States 38 1.4k 0.9× 248 0.5× 237 0.5× 241 0.6× 275 0.8× 96 3.7k
Juan Marugán United States 42 2.5k 1.6× 418 0.8× 309 0.7× 519 1.2× 143 0.4× 167 5.7k
Thomas Noll Germany 39 2.9k 1.8× 356 0.7× 310 0.7× 274 0.6× 280 0.8× 169 4.8k

Countries citing papers authored by Ming Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Qi. A scholar is included among the top collaborators of Ming Qi 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 Qi. Ming Qi 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.
Qi, Ming, et al.. (2025). Overlap of ‘disorders of gut-brain interaction’: A type of diseases that require special attention. Indian Journal of Gastroenterology. 45(1). 121–122.
2.
Chen, Hongyu, et al.. (2024). Retinol dehydrogenase 12 (RDH12) knock out may cause hyperuricemia phenotype in mice. Biochemical and Biophysical Research Communications. 709. 149809–149809. 1 indexed citations
3.
Song, Tongxing, Ming Qi, Nan Wang, et al.. (2024). Abnormal adipose tissue-derived microbes drive metabolic disorder and exacerbate postnatal growth retardation in piglet. PubMed. 3(2). load052–load052. 1 indexed citations
4.
Huang, Maohua, et al.. (2023). Noninvasive Strategies for the Treatment of Tiny Liver Cancer: Integrating Photothermal Therapy and Multimodality Imaging EpCAM-Guided Nanoparticles. ACS Applied Materials & Interfaces. 15(18). 21843–21853. 5 indexed citations
5.
Gao, Fang, Fei Ye, Qian Zhang, et al.. (2023). Compound Heterozygous Mutations in FSIP2 Cause Morphological Abnormalities in Sperm Flagella Leading to Male Infertility. Andrologia. 2023(1). 2 indexed citations
6.
Lin, Jiapeng, Maohua Huang, Lei Chen, et al.. (2023). Periplocin inhibits hepatocellular carcinoma progression and reduces the recruitment of MDSCs through AKT/NF-κB pathway. Life Sciences. 324. 121715–121715. 11 indexed citations
7.
Kim, Young‐Chae, Ming Qi, Xingchen Dong, et al.. (2023). Transgenic mice lacking FGF15/19-SHP phosphorylation display altered bile acids and gut bacteria, promoting nonalcoholic fatty liver disease. Journal of Biological Chemistry. 299(8). 104946–104946. 4 indexed citations
8.
Huang, Liyu, et al.. (2023). Causal relationship between Gut Microbiota and Obstructive sleep apnea. Archives of Gerontology and Geriatrics. 113. 105052–105052. 12 indexed citations
9.
Deng, Lijuan, Minfeng Chen, Ming Qi, et al.. (2022). m6A modification: recent advances, anticancer targeted drug discovery and beyond. Molecular Cancer. 21(1). 52–52. 252 indexed citations breakdown →
10.
Zhu, Xiangjia, Yu Du, Dan Li, et al.. (2021). Aberrant TGF-β1 signaling activation by MAF underlies pathological lens growth in high myopia. Nature Communications. 12(1). 2102–2102. 55 indexed citations
11.
Wang, Cong, Jun Zhang, Jianping Zhang, et al.. (2020). An electric-field-responsive paramagnetic contrast agent enhances the visualization of epileptic foci in mouse models of drug-resistant epilepsy. Nature Biomedical Engineering. 5(3). 278–289. 65 indexed citations
12.
Qi, Ming, et al.. (2014). Human Equilibrative Nucleoside Transporter 1 Predicts Survival in Patients with Pancreatic Cancer Treated with Gemcitabine: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 18(5). 306–312. 6 indexed citations
13.
14.
Qi, Ming. (2008). The MTI 3D Model for the Estimation of E-learning Tools in Higher Education Field.
15.
Moss, Arthur J., Wataru Shimizu, Arthur A.M. Wilde, et al.. (2007). Clinical Aspects of Type-1 Long-QT Syndrome by Location, Coding Type, and Biophysical Function of Mutations Involving the KCNQ1 Gene. Circulation. 115(19). 2481–2489. 294 indexed citations
16.
Qi, Ming. (2007). Forward kinematics analysis for a novel 5-DOF parallel mechanism using tetrahedron configurations. Chinese Journal of Mechanical Engineering. 20(6). 1–1. 4 indexed citations
17.
Qi, Ming. (2007). High Precision Angular Measuring System Based on Round Inductosyn. Dianzi qijian. 1 indexed citations
18.
19.
Li, Dayong, Qiang Zhang, Yan Che, et al.. (2003). [Effects of macrophage infiltration and related gene expression on the pathogenesis of early abdominal aortic aneurysm].. PubMed. 83(18). 1624–7. 3 indexed citations
20.
Qi, Ming. (2002). Disaster Recovery:Concept and Application. Jisuanji yingyong yanjiu. 1 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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