Cheng Ju

881 total citations
23 papers, 541 citations indexed

About

Cheng Ju is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cheng Ju has authored 23 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cheng Ju's work include Spinal Cord Injury Research (7 papers), Laser Applications in Dentistry and Medicine (5 papers) and Extracellular vesicles in disease (4 papers). Cheng Ju is often cited by papers focused on Spinal Cord Injury Research (7 papers), Laser Applications in Dentistry and Medicine (5 papers) and Extracellular vesicles in disease (4 papers). Cheng Ju collaborates with scholars based in China, United Kingdom and United States. Cheng Ju's co-authors include Ruihao Zhou, Renfeng Liu, Feifei Zhang, Zhiping Zhang, Guofu Huang, Zhaohao Huang, Kaddie Kwok Chen, Jingtao Zhang, Bufan Xiao and Yuan‐Wei Zhang and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Cheng Ju

22 papers receiving 537 citations

Peers

Cheng Ju

RNMI

PFM

Dong Zhong China

Kai Zhu China

Miguel Angel Castejón Spain

Shujing Liang China

Mohansrinivas Chennakesavalu United States

Yongji Tian China

Marek Mazurek Poland

Maria-Grazia Spiga United States

Sepideh Alavi-Moghadam Iran

Yuanfeng Jiang China

Dong Zhong China

Cheng Ju

181 ×0.5

71 ×0.3

39 ×0.6

RNMI

38 ×0.7

62 ×1.1

PFM

Citations per year, relative to Cheng Ju Cheng Ju (= 1×) peers Dong Zhong

Countries citing papers authored by Cheng Ju

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ju

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zuo, Xiaoshuang, Cheng Ju, Zhihao Zhang, et al.. (2025). Photobiomodulation regulates inflammation and autophagy in spinal cord injury through NLRP3/Caspase-1/IL-1β pathway by targeting TLR2. Molecular Immunology. 182. 1–10. 3 indexed citations

Ju, Cheng, et al.. (2025). Exosomes-Based Nanotherapeutic Strategies: An Important Approach for Spinal Cord Injury Repair. International Journal of Nanomedicine. Volume 20. 10407–10431.

Ju, Cheng, et al.. (2024). Single-cell analysis combined with transcriptome sequencing identifies autophagy hub genes in macrophages after spinal cord injury. Clinical Immunology. 270. 110412–110412. 2 indexed citations

Ju, Cheng, et al.. (2024). Targeted microbiota dysbiosis repair: An important approach to health management after spinal cord injury. Ageing Research Reviews. 104. 102648–102648. 2 indexed citations

Zhang, Zhihao, Tingyu Wu, Cheng Ju, et al.. (2024). Photobiomodulation Increases M2-Type Polarization of Macrophages by Inhibiting Versican Production After Spinal Cord Injury. Molecular Neurobiology. 61(9). 6950–6967. 2 indexed citations

Ju, Cheng, Yangguang Ma, Xiaoshuang Zuo, et al.. (2023). Photobiomodulation promotes spinal cord injury repair by inhibiting macrophage polarization through lncRNA TUG1-miR-1192/TLR3 axis. Cellular & Molecular Biology Letters. 28(1). 5–5. 25 indexed citations

Tang, Qin, Bin Gao, Wai Lok Woo, et al.. (2023). Physical Coupling Fusion Sensing of MFL-EMAT for Synchronous Surface and Internal Defects Inspection. IEEE Sensors Journal. 23(14). 16068–16079. 18 indexed citations

Ma, Yangguang, Penghui Li, Cheng Ju, et al.. (2022). Photobiomodulation Attenuates Neurotoxic Polarization of Macrophages by Inhibiting the Notch1-HIF-1α/NF-κB Signalling Pathway in Mice With Spinal Cord Injury. Frontiers in Immunology. 13. 816952–816952. 28 indexed citations

Ju, Cheng, Yangguang Ma, Xiaoshuang Zuo, et al.. (2022). Potential targets and mechanisms of photobiomodulation for spinal cord injury. Neural Regeneration Research. 0(0). 0–0. 10 indexed citations

10.

Zhang, Feifei, Xiaofeng Tang, Song Fan, et al.. (2021). Targeting the p300/NONO axis sensitizes melanoma cells to BRAF inhibitors. Oncogene. 40(24). 4137–4150. 16 indexed citations

11.

Wang, Xuankang, Xin Li, Xiaoshuang Zuo, et al.. (2021). Photobiomodulation inhibits the activation of neurotoxic microglia and astrocytes by inhibiting Lcn2/JAK2-STAT3 crosstalk after spinal cord injury in male rats. Journal of Neuroinflammation. 18(1). 256–256. 72 indexed citations

12.

Wu, Wei, Xiaofeng Tang, Feifei Zhang, et al.. (2021). HDAC6 inhibitor WT161 performs anti-tumor effect on osteosarcoma and synergistically interacts with 5-FU. Bioscience Reports. 41(4). 13 indexed citations

13.

Lv, Bin, Guangyu Gao, Yuhong Guo, et al.. (2021). Serglycin promotes proliferation, migration, and invasion via the JAK/STAT signaling pathway in osteosarcoma. Aging. 13(17). 21142–21154. 5 indexed citations

14.

Liu, Renfeng, Cheng Ju, Feifei Zhang, et al.. (2020). LncRNA GSEC promotes the proliferation, migration and invasion by sponging miR-588/ EIF5A2 axis in osteosarcoma. Biochemical and Biophysical Research Communications. 532(2). 300–307. 19 indexed citations

15.

Zhou, Ruihao, Xiaofeng Tang, Feifei Zhang, et al.. (2020). <p>Identification of BRMS1L as Metastasis Suppressing Gene in Esophageal Squamous Cell Carcinoma</p>. Cancer Management and Research. Volume 12. 531–539. 4 indexed citations

16.

Ju, Cheng, et al.. (2019). Exosomes May Be the Potential New Direction of Research in Osteoarthritis Management. BioMed Research International. 2019. 1–7. 14 indexed citations

17.

Qian, Xia, Feifei Zhang, Xiaofeng Tang, et al.. (2019). HDAC6 inhibitor WT161 induces apoptosis in retinoblastoma cells and synergistically interacts with cisplatin. Translational Cancer Research. 8(8). 2759–2768. 12 indexed citations

18.

Ju, Cheng, Renfeng Liu, Yuan‐Wei Zhang, et al.. (2019). Mesenchymal stem cell-associated lncRNA in osteogenic differentiation. Biomedicine & Pharmacotherapy. 115. 108912–108912. 89 indexed citations

19.

Zhou, Ruihao, Kaddie Kwok Chen, Jingtao Zhang, et al.. (2018). The decade of exosomal long RNA species: an emerging cancer antagonist. Molecular Cancer. 17(1). 75–75. 134 indexed citations

20.

Gu, Yajun, Cheng Ju, Yanjun Li, et al.. (2014). Detection of circulating tumor cells in prostate cancer based on carboxylated graphene oxide modified light addressable potentiometric sensor. Biosensors and Bioelectronics. 66. 24–31. 59 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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