Ming Ji

3.4k total citations
92 papers, 2.3k citations indexed

About

Ming Ji is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ming Ji has authored 92 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 15 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Ming Ji's work include Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related molecular mechanisms research (6 papers) and Microtubule and mitosis dynamics (5 papers). Ming Ji is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related molecular mechanisms research (6 papers) and Microtubule and mitosis dynamics (5 papers). Ming Ji collaborates with scholars based in China, United States and United Kingdom. Ming Ji's co-authors include Jixin Dong, Yuanhong Chen, Ling Xiao, Elizabeth A. Gilpin, Alison B. Albers, Lois Biener, Xiaoling Li, Jonathan R. Keller, Kimberly D. Klarmann and Timothy W. McKeithan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ming Ji

89 papers receiving 2.2k 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 Ji China 26 1.1k 406 349 322 229 92 2.3k
Hsin‐Yi Huang Taiwan 32 1.2k 1.1× 393 1.0× 361 1.0× 387 1.2× 336 1.5× 103 3.0k
Dylan T. Jones United Kingdom 25 1.3k 1.2× 593 1.5× 217 0.6× 574 1.8× 364 1.6× 32 2.4k
Christopher N Hahn Australia 28 1.2k 1.1× 271 0.7× 325 0.9× 252 0.8× 220 1.0× 72 2.2k
Matt Elliott United States 5 1.5k 1.4× 167 0.4× 270 0.8× 352 1.1× 246 1.1× 6 2.2k
Joe W. Ramos United States 27 1.8k 1.6× 283 0.7× 520 1.5× 536 1.7× 274 1.2× 67 2.7k
Fei Gu China 31 1.9k 1.8× 707 1.7× 357 1.0× 480 1.5× 170 0.7× 91 3.0k
Takayuki Isagawa Japan 23 1.7k 1.5× 632 1.6× 134 0.4× 352 1.1× 248 1.1× 47 2.3k
Nikola A. Bowden Australia 23 1.4k 1.2× 538 1.3× 141 0.4× 456 1.4× 358 1.6× 67 2.3k
Jennifer A. Byrne Australia 31 1.5k 1.4× 557 1.4× 441 1.3× 540 1.7× 253 1.1× 114 2.9k
Goutam Chakraborty United States 29 1.3k 1.1× 461 1.1× 230 0.7× 779 2.4× 230 1.0× 67 2.8k

Countries citing papers authored by Ming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ji. A scholar is included among the top collaborators of Ming Ji 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 Ji. Ming Ji 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.
Liu, Hong, Ming Ji, Tao Yang, et al.. (2025). Regulation of fibroblast phenotype in osteoarthritis using CDKN1A-loaded copper sulfide nanoparticles delivered by mesenchymal stem cells. American Journal of Physiology-Cell Physiology. 328(2). C679–C698. 3 indexed citations
2.
Tian, Hua, Yichen Liu, Songwen Lin, et al.. (2025). Design, Synthesis, and Biological Evaluation of Novel Fms-Like Tyrosine Kinase 3/VEGFR2/Histone Deacetylase Inhibitors for the Treatment of Acute Myeloid Leukemia. Journal of Medicinal Chemistry. 68(5). 5736–5759. 2 indexed citations
4.
Lin, Yuan, Huijun Liu, Xizi Du, et al.. (2024). Increased expression of cathepsin C in airway epithelia exacerbates airway remodeling in asthma. JCI Insight. 9(22).
5.
Zhu, Jiahui, Fang Yang, Riwang Li, et al.. (2023). CTNNAL1 deficiency suppresses CFTR expression in HDM-induced asthma mouse model through ROCK1-CAL signaling pathway. Acta Biochimica et Biophysica Sinica. 55(10). 1618–1629. 1 indexed citations
6.
Wang, Hui, Xueping Yao, Jie Wang, et al.. (2023). Knockout of the BRAP homolog in mice leads to abnormal tracheal cilia. FEBS Letters. 597(21). 2626–2642. 1 indexed citations
7.
Gong, Wenliang, Xinyu Li, Ming Ji, et al.. (2023). Novel pathogenesis of post-traumatic stress disorder studied in transgenic mice. Journal of Psychiatric Research. 161. 188–198. 6 indexed citations
8.
Ma, Xiaodi, Yu Chen, Xiangping Qu, et al.. (2022). The Role of DNA Damage and Repair in Idiopathic Pulmonary Fibrosis. Antioxidants. 11(11). 2292–2292. 17 indexed citations
9.
Zhang, Manman, Wenliang Gong, Ming Ji, et al.. (2022). Ageing related thyroid deficiency increases brain-targeted transport of liver-derived ApoE4-laden exosomes leading to cognitive impairment. Cell Death and Disease. 13(4). 406–406. 19 indexed citations
10.
Zhang, Yan, et al.. (2022). Discovery of a novel photoswitchable PI3K inhibitor toward optically-controlled anticancer activity. Bioorganic & Medicinal Chemistry. 72. 116975–116975. 8 indexed citations
11.
Tang, Shuang, Zhan Zhang, Robert H. Oakley, et al.. (2021). Intestinal epithelial glucocorticoid receptor promotes chronic inflammation–associated colorectal cancer. JCI Insight. 6(24). 13 indexed citations
12.
Xia, Maosheng, Ming Ji, Shuai Li, et al.. (2021). Iron induces two distinct Ca2+ signalling cascades in astrocytes. Communications Biology. 4(1). 525–525. 28 indexed citations
13.
Xia, Maosheng, Shanshan Liang, Shuai Li, et al.. (2021). Iatrogenic Iron Promotes Neurodegeneration and Activates Self-Protection of Neural Cells against Exogenous Iron Attacks. Function. 2(2). zqab003–zqab003. 15 indexed citations
14.
Chen, Ran, et al.. (2018). miR‐15b‐5p facilitates the tumorigenicity by targeting RECK and predicts tumour recurrence in prostate cancer. Journal of Cellular and Molecular Medicine. 22(3). 1855–1863. 43 indexed citations
15.
Huang, He, Shuang Tang, Ming Ji, et al.. (2018). p300-Mediated Lysine 2-Hydroxyisobutyrylation Regulates Glycolysis. Molecular Cell. 70(4). 663–678.e6. 158 indexed citations
16.
Li, Xiaoqiang, et al.. (2013). Holocene climate and environmental changes reconstructed from elemental geochemistry in the Western Hexi Corridor. Acta Anthropologica Sinica. 32(1). 110. 7 indexed citations
17.
Ji, Ming, Enyu Rao, Yulei Shen, et al.. (2011). The miR-17-92 MicroRNA Cluster Is Regulated by Multiple Mechanisms in B-Cell Malignancies. American Journal Of Pathology. 179(4). 1645–1656. 58 indexed citations
18.
Ji, Ming, Huajie Li, Hyung C. Suh, et al.. (2008). Id2 intrinsically regulates lymphoid and erythroid development via interaction with different target proteins. Blood. 112(4). 1068–1077. 60 indexed citations
19.
Suh, Hyung C., Wilairat Leeanansaksiri, Ming Ji, et al.. (2008). Id1 immortalizes hematopoietic progenitors in vitro and promotes a myeloproliferative disease in vivo. Oncogene. 27(42). 5612–5623. 45 indexed citations
20.
Chen, Liyu, et al.. (2001). Apoptosis of Mouse Thymocytes and Its Gene Regulation Induced by Listeria Monocytogenesis. 21(6). 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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