Zhijun Ma

2.1k total citations
43 papers, 1.4k citations indexed

About

Zhijun Ma is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhijun Ma has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Oncology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhijun Ma's work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (7 papers) and MRI in cancer diagnosis (6 papers). Zhijun Ma is often cited by papers focused on Virus-based gene therapy research (7 papers), CAR-T cell therapy research (7 papers) and MRI in cancer diagnosis (6 papers). Zhijun Ma collaborates with scholars based in China, United States and France. Zhijun Ma's co-authors include Brian P. Sorrentino, Taihe Lu, Yulan Ma, Yuhua Liao, Xianjun Yu, Wei Liang, Huanhuan Li, Rui Yao, Sheng Zhou and Hongbing Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Zhijun Ma

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhijun Ma China 20 726 375 316 243 240 43 1.4k
Michael Ford United States 19 821 1.1× 135 0.4× 240 0.8× 296 1.2× 207 0.9× 59 1.5k
Aditya Murthy Canada 14 710 1.0× 314 0.8× 333 1.1× 149 0.6× 463 1.9× 16 1.6k
Thea Kalebic United States 21 727 1.0× 238 0.6× 424 1.3× 91 0.4× 134 0.6× 60 1.6k
Ole Kristoffer Olstad Norway 24 1.1k 1.5× 362 1.0× 264 0.8× 214 0.9× 274 1.1× 103 1.9k
Grzegorz Kurzawski Poland 26 717 1.0× 501 1.3× 699 2.2× 387 1.6× 181 0.8× 85 1.9k
Hideji Nakamura Japan 31 1.6k 2.2× 313 0.8× 354 1.1× 160 0.7× 259 1.1× 101 2.8k
Nunzia Montuori Italy 27 916 1.3× 753 2.0× 461 1.5× 70 0.3× 392 1.6× 82 2.0k
Fumihiko Kimura Japan 21 700 1.0× 157 0.4× 438 1.4× 129 0.5× 781 3.3× 138 2.1k
Michael J. Rauh Canada 22 1.2k 1.6× 348 0.9× 529 1.7× 116 0.5× 951 4.0× 73 2.7k

Countries citing papers authored by Zhijun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zhijun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijun Ma. A scholar is included among the top collaborators of Zhijun 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 Zhijun Ma. Zhijun Ma 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.
2.
Zhong, Yuguang, et al.. (2023). Effects of turbulent wind and irregular waves on the dynamic characteristics of a floating offshore wind turbine platform. Journal of Mechanical Science and Technology. 37(6). 2921–2931. 4 indexed citations
3.
Zhu, Lulu, et al.. (2021). Distinguishing feature of gut microbiota in Tibetan highland coronary artery disease patients and its link with diet. Scientific Reports. 11(1). 18486–18486. 23 indexed citations
4.
Ma, Yu‐Bin, Jun-Peng Lin, Jian-Xian Lin, et al.. (2020). A novel prognosis marker based on combined preoperative carcinoembryonic antigen and systemic inflammatory response for resectable gastric cancer. Journal of Cancer. 12(3). 927–935. 8 indexed citations
5.
Jang, Yoonjeong, Yoon‐Sang Kim, Matthew M. Wielgosz, et al.. (2020). Optimizing lentiviral vector transduction of hematopoietic stem cells for gene therapy. Gene Therapy. 27(12). 545–556. 22 indexed citations
6.
Yu, Hong, et al.. (2019). The value of diffusion kurtosis imaging in assessing mismatch repair gene expression of rectal carcinoma: Preliminary findings. PLoS ONE. 14(2). e0211461–e0211461. 1 indexed citations
7.
Li, Xuemei, et al.. (2018). Progression in influential factors of heatocellular carcinoma recurrence. Zhonghua gan-dan waike zazhi. 24(9). 644–648. 2 indexed citations
8.
Ma, Zhijun. (2018). Effect of anthracycline combined with aerobic exercise on the treatment of breast cancer.. PubMed. 31(3(Special)). 1125–1129. 20 indexed citations
9.
Zhao, Fuxing, Dengfeng Ren, Guoshuang Shen, et al.. (2018). Predicting the Efficacy of 5-Fluorouracil–Based Adjuvant Chemotherapy in Gastric Cancer by Microsatellite Instability: A Meta-Analysis. Journal of Environmental Pathology Toxicology and Oncology. 38(1). 21–28. 5 indexed citations
10.
Meng, Yanyan, Zhijun Ma, Heng Zhou, et al.. (2017). Genistein attenuates pathological cardiac hypertrophy in vivo and in vitro. Herz. 44(3). 247–256. 17 indexed citations
11.
Fang, Wei, et al.. (2017). Diagnosis and classification in MRI of brucellar spondylitis. 4(3). 102–107. 6 indexed citations
12.
Li, Ruidong, Yaxin Wang, Zhijun Ma, et al.. (2016). Maresin 1 Mitigates Inflammatory Response and Protects Mice from Sepsis. Mediators of Inflammation. 2016. 1–9. 48 indexed citations
13.
Ma, Zhijun, Yulan Ma, Qinghua Xia, et al.. (2016). MicroRNA-155 expression inversely correlates with pathologic stage of gastric cancer and it inhibits gastric cancer cell growth by targeting cyclin D1. Journal of Cancer Research and Clinical Oncology. 142(6). 1201–1212. 20 indexed citations
14.
Ma, Zhijun, et al.. (2016). Diffusion tensor imaging of breast lesions: evaluation of apparent diffusion coefficient and fractional anisotropy and tissue cellularity. British Journal of Radiology. 89(1064). 20160076–20160076. 38 indexed citations
15.
Ma, Zhijun, et al.. (2015). Correlation of diffusion tensor imaging parameters and histopathology in the evaluation of renal clear cell carcinoma. Zhonghua fangshexian yixue zazhi. 49(10). 750–753. 1 indexed citations
16.
Zhou, Sheng, Laura J. Janke, Michelle L. Churchman, et al.. (2014). Interleukin-7 receptor mutants initiate early T cell precursor leukemia in murine thymocyte progenitors with multipotent potential. The Journal of Experimental Medicine. 211(4). 701–713. 75 indexed citations
17.
Zhou, Sheng, Zhijun Ma, Taihe Lu, et al.. (2013). Mouse Transplant Models for Evaluating the Oncogenic Risk of a Self-Inactivating XSCID Lentiviral Vector. PLoS ONE. 8(4). e62333–e62333. 17 indexed citations
18.
Yao, Rui, Yulan Ma, Wei Liang, et al.. (2012). MicroRNA-155 Modulates Treg and Th17 Cells Differentiation and Th17 Cell Function by Targeting SOCS1. PLoS ONE. 7(10). e46082–e46082. 258 indexed citations
19.
Zhou, Sheng, Suk See De Ravin, Julia Hauer, et al.. (2010). A self-inactivating lentiviral vector for SCID-X1 gene therapy that does not activate LMO2 expression in human T cells. Blood. 116(6). 900–908. 87 indexed citations
20.
Ma, Zhijun, et al.. (2006). Unique risk factors for insertional mutagenesis in a mouse model of XSCID gene therapy. Proceedings of the National Academy of Sciences. 103(31). 11730–11735. 84 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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