Jiequn Ma

688 total citations
19 papers, 376 citations indexed

About

Jiequn Ma is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jiequn Ma has authored 19 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Jiequn Ma's work include Cancer-related Molecular Pathways (5 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related gene regulation (3 papers). Jiequn Ma is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer-related gene regulation (3 papers). Jiequn Ma collaborates with scholars based in China. Jiequn Ma's co-authors include Lili Jiang, Kejun Nan, Chengcheng Yang, Lili Han, Wenjuan Wang, Mengjie Liu, Kejun Nan, Qianqian Guo, Tao Tian and Xuan Liang and has published in prestigious journals such as PLoS ONE, The International Journal of Biochemistry & Cell Biology and Clinica Chimica Acta.

In The Last Decade

Jiequn Ma

16 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiequn Ma China	13	255	149	110	48	47	19	376
Dongyi Wan China	10	326 1.3×	146 1.0×	153 1.4×	44 0.9×	31 0.7×	16	481
Jiongqiang Huang China	10	272 1.1×	153 1.0×	116 1.1×	44 0.9×	24 0.5×	15	425
Martina Mang Leng Lei Hong Kong	8	239 0.9×	133 0.9×	123 1.1×	49 1.0×	39 0.8×	10	394
Georg Machat Austria	4	279 1.1×	113 0.8×	144 1.3×	36 0.8×	26 0.6×	4	416
Ramona Rudalska Germany	4	351 1.4×	142 1.0×	131 1.2×	33 0.7×	27 0.6×	6	435
Barbara Antoniani Italy	13	327 1.3×	135 0.9×	143 1.3×	66 1.4×	47 1.0×	20	463
Shuzhou Chu China	13	288 1.1×	92 0.6×	92 0.8×	53 1.1×	23 0.5×	19	403
Xinwen Zhong China	12	417 1.6×	193 1.3×	138 1.3×	82 1.7×	47 1.0×	25	554
Komal Qureshi-Baig Luxembourg	7	260 1.0×	225 1.5×	152 1.4×	31 0.6×	72 1.5×	7	430

Countries citing papers authored by Jiequn Ma

Since Specialization

Citations

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

Fields of papers citing papers by Jiequn Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiequn Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jiequn Ma. A scholar is included among the top collaborators of Jiequn Ma 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 Jiequn Ma. Jiequn Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Ma, Jiequn, Xi Zhang, Bin Zhao, et al.. (2025). Lung cancer organoids in translational research: Bridging basic science, drug development, and clinical therapeutics. Critical Reviews in Oncology/Hematology. 214. 104840–104840.

Han, Peng, Zhiyun Zhang, Qian Ge, et al.. (2025). Case Report: Dramatic response to entritinib in a patient with gastrointestinal stromal tumor positive for NTRK3 fusion. Frontiers in Oncology. 15. 1588950–1588950.

Ge, Qian, et al.. (2024). Liquid biopsy: Comprehensive overview of circulating tumor DNA (Review). Oncology Letters. 28(5). 548–548. 18 indexed citations

Zhang, Zhiyun, et al.. (2024). Integrating Network Pharmacology to Explore the Pharmacology Mechanisms of Meliae Cortex Against Hepatocellular Carcinoma. 6(6). 135–140.

Liu, Mengjie, Xiao Fu, Jiequn Ma, et al.. (2021). Colon cancer cells secreted CXCL11 via RBP‐Jκ to facilitated tumour‐associated macrophage‐induced cancer metastasis. Journal of Cellular and Molecular Medicine. 25(22). 10575–10590. 22 indexed citations

Liao, Zijun, Qi Zheng, Ting Wei, et al.. (2019). MicroRNA-561 Affects Proliferation and Cell Cycle Transition Through PTEN/AKT Signaling Pathway by Targeting P-REX2a in NSCLC. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 28(2). 147–159. 14 indexed citations

Han, Lili, et al.. (2018). STX3 represses the stability of the tumor suppressor PTEN to activate the PI3K-Akt-mTOR signaling and promotes the growth of breast cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(5). 1684–1692. 26 indexed citations

Liu, Mengjie, Lili Jiang, Xiao Fu, et al.. (2018). Cytoplasmic liver kinase B1 promotes the growth of human lung adenocarcinoma by enhancing autophagy. Cancer Science. 109(10). 3055–3067. 39 indexed citations

Ma, Jiequn, Xiao Fu, Lili Jiang, et al.. (2016). Pleiotrophin as a potential biomarker in breast cancer patients. Clinica Chimica Acta. 466. 6–12. 19 indexed citations

10.

Guo, Qianqian, Zhiyan Liu, Lili Jiang, et al.. (2016). Metformin inhibits growth of human non-small cell lung cancer cells via liver kinase B-1-independent activation of adenosine monophosphate-activated protein kinase. Molecular Medicine Reports. 13(3). 2590–2596. 46 indexed citations

11.

Yang, Chengcheng, Jiequn Ma, Lili Jiang, et al.. (2015). High Skp2/Low p57^Kip2 Expression is Associated with Poor Prognosis in Human Breast Carcinoma. Breast Cancer Basic and Clinical Research. 9s1(Suppl 1). BCBCR.S30101–BCBCR.S30101. 27 indexed citations

12.

Han, Lili, Tao Tian, Hui Guo, et al.. (2014). Expression and significance of the novel tumor-suppressor gene SMG-1 in hepatocellular carcinoma. Oncology Reports. 31(6). 2569–2578. 17 indexed citations

13.

Nan, Kejun, Jie Cui, Hongyi Zhang, et al.. (2014). Cyclooxygenase-2 inhibitor is a robust enhancer of anticancer agents against hepatocellular carcinoma multicellular spheroids. OncoTargets and Therapy. 7. 353–353. 12 indexed citations

14.

Jiang, Lili, Xuan Liang, Mengjie Liu, et al.. (2014). Reduced expression of liver kinase B1 and Beclin1 is associated with the poor survival of patients with non-small cell lung cancer. Oncology Reports. 32(5). 1931–1938. 21 indexed citations

15.

Wang, Wenjuan, Yu Yao, Lili Jiang, et al.. (2013). Knockdown of Lymphoid Enhancer factor 1 Inhibits Colon Cancer Progression In Vitro and In Vivo. PLoS ONE. 8(10). e76596–e76596. 44 indexed citations

16.

Hu, Tinghua, Hui Guo, Wenjuan Wang, et al.. (2013). Loss of p57 expression and RhoA overexpression are associated with poor survival of patients with hepatocellular carcinoma. Oncology Reports. 30(4). 1707–1714. 14 indexed citations

17.

Wang, Wenjuan, Yu Yao, Lili Jiang, et al.. (2013). Increased LEF1 Expression and Decreased Notch2 Expression Are Strong Predictors of Poor Outcomes in Colorectal Cancer Patients. Disease Markers. 35(5). 395–405. 46 indexed citations

18.

Sun, Hong, et al.. (2013). Helicobacter pylori promotes invasion and metastasis of gastric cancer cells through activation of AP-1 and up-regulation of CACUL1. The International Journal of Biochemistry & Cell Biology. 45(11). 2666–2678. 10 indexed citations

19.

Li, Juntao, et al.. (2008). Montmorillonite Absorbs Uric Acid and Decreases the Concentration of Uric Acid in the Serum. 9. 971–974. 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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