Ju Ma

635 total citations
19 papers, 487 citations indexed

About

Ju Ma is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ju Ma has authored 19 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Ju Ma's work include Cancer-related molecular mechanisms research (5 papers), Bone and Dental Protein Studies (4 papers) and Cancer Research and Treatments (3 papers). Ju Ma is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Bone and Dental Protein Studies (4 papers) and Cancer Research and Treatments (3 papers). Ju Ma collaborates with scholars based in China. Ju Ma's co-authors include Jing Zhu, Yucun Liu, Shanwen Chen, Guowei Chen, Pengyuan Wang, Shuai Zuo, Yongchen Ma, Yisheng Pan, Junling Zhang and Shihao Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Ju Ma

19 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Ma China 13 297 189 101 55 54 19 487
Xiaojun Tan China 13 358 1.2× 156 0.8× 176 1.7× 41 0.7× 34 0.6× 24 563
E Raskopf Germany 16 297 1.0× 153 0.8× 100 1.0× 95 1.7× 21 0.4× 40 636
Taohua Yue China 15 330 1.1× 174 0.9× 144 1.4× 28 0.5× 158 2.9× 24 607
Huilin Jin China 15 276 0.9× 140 0.7× 100 1.0× 49 0.9× 7 0.1× 26 508
Yan Yih Goh Singapore 9 253 0.9× 216 1.1× 39 0.4× 80 1.5× 19 0.4× 9 643
Hongqi Teng United States 10 423 1.4× 171 0.9× 87 0.9× 67 1.2× 22 0.4× 15 598
Xiwu Chen United States 10 194 0.7× 93 0.5× 63 0.6× 14 0.3× 38 0.7× 10 444
Chithra D. Palani United States 13 317 1.1× 41 0.2× 111 1.1× 54 1.0× 26 0.5× 21 598
Ji‐Yoon Ryu South Korea 10 324 1.1× 84 0.4× 180 1.8× 43 0.8× 7 0.1× 17 486
Subhash Haldar United States 12 274 0.9× 146 0.8× 200 2.0× 25 0.5× 11 0.2× 23 592

Countries citing papers authored by Ju Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ju Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Ma

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

All Works

19 of 19 papers shown
1.
Hu, Qing, Ju Ma, Jian Hua, et al.. (2023). D-Optimal Design and Development of a Koumine-Loaded Microemulsion for Rheumatoid Arthritis Treatment: In vivo and in vitro Evaluation. International Journal of Nanomedicine. Volume 18. 2973–2988. 8 indexed citations
2.
Hu, Qing, Jiayi Yao, Xiaoqin Wang, et al.. (2022). Combinational Chemoimmunotherapy for Breast Cancer by Codelivery of Doxorubicin and PD-L1 siRNA Using a PAMAM-Incorporated Liposomal Nanoplatform. ACS Applied Materials & Interfaces. 14(7). 8782–8792. 32 indexed citations
3.
Ma, Ju, Yongchen Ma, Shanwen Chen, et al.. (2021). SPARC enhances 5-FU chemosensitivity in gastric cancer by modulating epithelial-mesenchymal transition and apoptosis. Biochemical and Biophysical Research Communications. 558. 134–140. 22 indexed citations
4.
Hu, Jianwen, Yongchen Ma, Ju Ma, et al.. (2021). M2 Macrophage-Based Prognostic Nomogram for Gastric Cancer After Surgical Resection. Frontiers in Oncology. 11. 690037–690037. 8 indexed citations
5.
Yue, Taohua, Shuai Zuo, Dingfang Bu, et al.. (2020). Aminooxyacetic acid (AOAA) sensitizes colon cancer cells to oxaliplatin via exaggerating apoptosis induced by ROS. Journal of Cancer. 11(7). 1828–1838. 40 indexed citations
6.
Hu, Jianwen, Yongchen Ma, Ju Ma, et al.. (2020). Macrophage-derived SPARC Attenuates M2-mediated Pro-tumour Phenotypes. Journal of Cancer. 11(10). 2981–2992. 14 indexed citations
7.
Ma, Yongchen, Hongbo Chen, Huiying Ma, et al.. (2019). Prognostic role of secreted protein acidic and rich in cysteine in patients with solid tumors. Saudi Medical Journal. 40(8). 755–765. 3 indexed citations
8.
Ma, Yongchen, Jing Zhu, Shanwen Chen, et al.. (2019). Low expression of SPARC in gastric cancer-associated fibroblasts leads to stemness transformation and 5-fluorouracil resistance in gastric cancer. Cancer Cell International. 19(1). 137–137. 35 indexed citations
9.
Guo, Shihao, Shanwen Chen, Ju Ma, et al.. (2019). Escherichia coli Nissle 1917 Protects Intestinal Barrier Function by Inhibiting NF-κB-Mediated Activation of the MLCK-P-MLC Signaling Pathway. Mediators of Inflammation. 2019. 1–13. 47 indexed citations
10.
Ma, Yongchen, Jing Zhu, Shanwen Chen, et al.. (2018). Activated gastric cancer-associated fibroblasts contribute to the malignant phenotype and 5-FU resistance via paracrine action in gastric cancer. Cancer Cell International. 18(1). 104–104. 33 indexed citations
11.
Zhang, Lixin, Tao Ye, Yan Jiang, & Ju Ma. (2018). Research on the Direction of China's Energy Development and Coping Strategies Based on the Trend of World Energy Development. SHILAP Revista de lepidopterología. 38. 4018–4018. 1 indexed citations
12.
Zhu, Jing, Shuai Zuo, Shanwen Chen, et al.. (2018). 1,25(OH)2D3 Attenuates IL-1β-Induced Epithelial-to-Mesenchymal Transition Through Inhibiting the Expression of lncTCF7. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 27(7). 739–750. 12 indexed citations
13.
14.
Zhu, Jing, Xin Wang, Guowei Chen, et al.. (2017). Long non‑coding RNA lncTCF7 activates the Wnt/β‑catenin pathway to promote metastasis and invasion in colorectal cancer. Oncology Letters. 14(6). 7384–7390. 32 indexed citations
15.
16.
Chen, Shan-Wen, Dingfang Bu, Yuanyuan Ma, et al.. (2016). GYY4137 ameliorates intestinal barrier injury in a mouse model of endotoxemia. Biochemical Pharmacology. 118. 59–67. 28 indexed citations
17.
Wang, Pengyuan, Yucun Liu, Lie Sun, et al.. (2016). Effect of Long Noncoding RNA H19 Overexpression on Intestinal Barrier Function and Its Potential Role in the Pathogenesis of Ulcerative Colitis. Inflammatory Bowel Diseases. 22(11). 2582–2592. 68 indexed citations
18.
Chen, Shanwen, Jing Zhu, Shuai Zuo, et al.. (2015). 1,25(OH)2D3 attenuates TGF-β1/β2-induced increased migration and invasion via inhibiting epithelial–mesenchymal transition in colon cancer cells. Biochemical and Biophysical Research Communications. 468(1-2). 130–135. 36 indexed citations
19.
Chai, Rui, et al.. (2014). Astrocytic exportin‐7 responds to ischemia through mediating LKB1 translocation from the nucleus to the cytoplasm. Journal of Neuroscience Research. 93(2). 253–267. 6 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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