Jun Chang

1.6k total citations
73 papers, 1.2k citations indexed

About

Jun Chang is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Jun Chang has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 26 papers in Cancer Research and 16 papers in Rheumatology. Recurrent topics in Jun Chang's work include Cancer-related molecular mechanisms research (16 papers), Osteoarthritis Treatment and Mechanisms (15 papers) and MicroRNA in disease regulation (10 papers). Jun Chang is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), Osteoarthritis Treatment and Mechanisms (15 papers) and MicroRNA in disease regulation (10 papers). Jun Chang collaborates with scholars based in China, United States and Australia. Jun Chang's co-authors include Chenggui Miao, Zongsheng Yin, Wanwan Zhou, Mingli Wang, Youyi Xiong, Changhai Ding, Weiyu Han, Zongsheng Yin, Ming Lu and Tao Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of Oncology.

In The Last Decade

Jun Chang

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Chang China 21 550 325 318 177 152 73 1.2k
Christopher Wu United States 15 545 1.0× 286 0.9× 374 1.2× 139 0.8× 96 0.6× 24 1.2k
Yuchen He China 19 463 0.8× 320 1.0× 238 0.7× 148 0.8× 156 1.0× 56 1.1k
Takeshi Teramura Japan 21 562 1.0× 223 0.7× 200 0.6× 176 1.0× 93 0.6× 56 1.1k
Merissa Olmer United States 24 749 1.4× 702 2.2× 350 1.1× 217 1.2× 138 0.9× 42 1.7k
Mi Yang China 15 743 1.4× 149 0.5× 298 0.9× 112 0.6× 141 0.9× 30 1.3k
Nada Alaaeddine Lebanon 21 363 0.7× 470 1.4× 223 0.7× 215 1.2× 248 1.6× 46 1.4k
Chen‐Ming Su Taiwan 25 726 1.3× 329 1.0× 313 1.0× 98 0.6× 341 2.2× 57 1.5k
Dongyao Yan United States 17 443 0.8× 518 1.6× 176 0.6× 185 1.0× 182 1.2× 30 1.4k
Renpeng Zhou China 19 679 1.2× 246 0.8× 230 0.7× 88 0.5× 82 0.5× 68 1.2k

Countries citing papers authored by Jun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Chang. A scholar is included among the top collaborators of Jun Chang 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 Jun Chang. Jun Chang 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
3.
He, Xiaoyan, Qian Wang, Ping Zhou, et al.. (2025). A novel nanomedicine for osteosarcoma treatment: triggering ferroptosis through GSH depletion and inhibition for enhanced synergistic PDT/PTT therapy. Journal of Nanobiotechnology. 23(1). 323–323. 4 indexed citations
4.
Zhou, Ping, et al.. (2024). Identification of biomarkers related to tryptophan metabolism in osteoarthritis. Biochemistry and Biophysics Reports. 39. 101763–101763. 5 indexed citations
5.
Liu, Dan, Minxia Liu, Jing Bai, et al.. (2023). miR-137–LAPTM4B regulates cytoskeleton organization and cancer metastasis via the RhoA-LIMK-Cofilin pathway in osteosarcoma. Oncogenesis. 12(1). 25–25. 9 indexed citations
6.
Chang, Jun, Tianyu Chen, Zhaohua Zhu, et al.. (2022). Associations between the morphological parameters of proximal tibiofibular joint (PTFJ) and changes in tibiofemoral joint structures in patients with knee osteoarthritis. Arthritis Research & Therapy. 24(1). 34–34. 2 indexed citations
7.
Liao, Zetao, Jun Chang, Zhaohua Zhu, et al.. (2022). Associations Between Dietary Intake of Vitamin K and Changes in Symptomatic and Structural Changes in Patients With Knee Osteoarthritis. Arthritis Care & Research. 75(7). 1503–1510. 1 indexed citations
8.
Wang, Xiao, Dexi Zhou, Wanwan Zhou, et al.. (2022). Clematichinenoside AR inhibits the pathology of rheumatoid arthritis by blocking the circPTN/miR-145-5p/FZD4 signal axis. International Immunopharmacology. 113(Pt A). 109376–109376. 31 indexed citations
9.
Wang, Zhihua, et al.. (2020). LncRNA EMX2OS, Regulated by TCF12, Interacts with FUS to Regulate the Proliferation, Migration and Invasion of Prostate Cancer Cells Through the cGMP-PKG Signaling Pathway. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Huang, Fei, Taiying Chen, Jun Chang, et al.. (2020). A conductive dual-network hydrogel composed of oxidized dextran and hyaluronic-hydrazide as BDNF delivery systems for potential spinal cord injury repair. International Journal of Biological Macromolecules. 167. 434–445. 61 indexed citations
11.
Chang, Jun, Zhaohua Zhu, Weiyu Han, et al.. (2019). The morphology of proximal tibiofibular joint (PTFJ) predicts incident radiographic osteoarthritis: data from Osteoarthritis Initiative. Osteoarthritis and Cartilage. 28(2). 208–214. 13 indexed citations
12.
Chang, Jun, Zhaohua Zhu, Zetao Liao, et al.. (2018). A novel method for assessing proximal tibiofibular joint on MR images in patients with knee osteoarthritis. Osteoarthritis and Cartilage. 26(12). 1675–1682. 6 indexed citations
13.
Miao, Chenggui, et al.. (2018). [Experimental Study on Paeoniflorin Inhibiting mTOR Signaling Pathway in Adjuvant Arthritis Rats].. PubMed. 49(4). 535–539. 3 indexed citations
14.
Chang, Jun, Zetao Liao, Ming Lu, et al.. (2018). Systemic and local adipose tissue in knee osteoarthritis. Osteoarthritis and Cartilage. 26(7). 864–871. 82 indexed citations
15.
Miao, Chenggui, et al.. (2018). CUL4B promotes the pathology of adjuvant-induced arthritis in rats through the canonical Wnt signaling. Journal of Molecular Medicine. 96(6). 495–511. 21 indexed citations
16.
Huang, Fang, Hao Ding, Jun Chang, & Wenhao Zhang. (2015). Autocrine IGF-1/IGF-1R signaling promotes cell migration and invasion in NK/T-cell lymphoma cells. 24(6). 334–340. 1 indexed citations
17.
Culley, Kirsty L., et al.. (2015). The E74-like factor 3 (ELF3) is a central mediator of cartilage degradation in a surgically-induced osteoarthritis model in mice. Osteoarthritis and Cartilage. 23. A288–A288. 1 indexed citations
18.
Chang, Jun, et al.. (2013). The dual role of autophagy in chondrocyte responses in the pathogenesis of articular cartilage degeneration in osteoarthritis. International Journal of Molecular Medicine. 32(6). 1311–1318. 81 indexed citations
19.
Zhao, Jun, Li Zeng, Mingli Wang, et al.. (2013). Manipulation of autophagy by HCMV infection is involved in mTOR and influences the replication of virus. Acta Biochimica et Biophysica Sinica. 45(11). 979–981. 9 indexed citations
20.
Chang, Jun, et al.. (2012). Bisphosphonates regulate cell proliferation, apoptosis and pro-osteoclastic expression in MG-63 human osteosarcoma cells. Oncology Letters. 4(2). 299–304. 30 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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