Qingjun Wei

665 total citations
31 papers, 476 citations indexed

About

Qingjun Wei is a scholar working on Rheumatology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Qingjun Wei has authored 31 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 10 papers in Molecular Biology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Qingjun Wei's work include Spine and Intervertebral Disc Pathology (10 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Musculoskeletal pain and rehabilitation (6 papers). Qingjun Wei is often cited by papers focused on Spine and Intervertebral Disc Pathology (10 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Musculoskeletal pain and rehabilitation (6 papers). Qingjun Wei collaborates with scholars based in China, Australia and United States. Qingjun Wei's co-authors include Hua Jiang, Li Zheng, Xinli Zhan, Zengming Xiao, Zhenhui Lu, Xixi He, Mingwei He, Jiaqi Wang, Wenyu Feng and Zainen Qin and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Life Sciences.

In The Last Decade

Qingjun Wei

30 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingjun Wei China 15 165 137 99 92 58 31 476
Yunyun Luo Denmark 10 186 1.1× 267 1.9× 94 0.9× 55 0.6× 111 1.9× 23 645
Kewei Rong China 11 204 1.2× 60 0.4× 62 0.6× 90 1.0× 35 0.6× 24 399
Chenkai Li China 13 225 1.4× 160 1.2× 63 0.6× 33 0.4× 89 1.5× 27 554
Qianshi Zhang China 12 246 1.5× 62 0.5× 59 0.6× 168 1.8× 67 1.2× 37 484
Feng‐Juan Lyu China 9 190 1.2× 123 0.9× 160 1.6× 213 2.3× 99 1.7× 19 555
Congcong Wu China 13 288 1.7× 95 0.7× 177 1.8× 220 2.4× 143 2.5× 30 765
Deming Xiao China 11 345 2.1× 115 0.8× 88 0.9× 52 0.6× 75 1.3× 23 711
Jian Mo China 11 144 0.9× 43 0.3× 57 0.6× 114 1.2× 85 1.5× 26 426
Huo‐Liang Zheng China 12 388 2.4× 105 0.8× 122 1.2× 227 2.5× 62 1.1× 24 693
Baoping Xu China 12 305 1.8× 62 0.5× 64 0.6× 69 0.8× 140 2.4× 32 791

Countries citing papers authored by Qingjun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Qingjun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingjun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Qingjun Wei. A scholar is included among the top collaborators of Qingjun Wei 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 Qingjun Wei. Qingjun Wei 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.
Xie, Tianyu, Wenyu Feng, Liang Xiong, et al.. (2025). Single-cell RNA and bulk sequencing analysis reveals that formononetin inhibits GTSF1 to exert anti-osteosarcoma effects. APL Bioengineering. 9(3). 36110–36110.
2.
Yang, Qinghua, et al.. (2025). TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway. Scientific Reports. 15(1). 24797–24797. 1 indexed citations
3.
Jiang, Hua, Hongyu Qin, Qinghua Yang, et al.. (2024). Effective delivery of miR-150-5p with nucleus pulposus cell-specific nanoparticles attenuates intervertebral disc degeneration. Journal of Nanobiotechnology. 22(1). 292–292. 8 indexed citations
4.
He, Xixi, et al.. (2024). Songorine modulates macrophage polarization and metabolic reprogramming to alleviate inflammation in osteoarthritis. Frontiers in Immunology. 15. 1344949–1344949. 10 indexed citations
5.
Luo, Xiaoting, Kai Luo, Shangyu Liu, et al.. (2023). Interaction gene set between osteoclasts and regulatory CD4+ T cells can accurately predict the prognosis of patients with osteosarcoma. Cancer Science. 114(7). 3014–3026. 15 indexed citations
6.
Feng, Wenyu, Dezhi Song, Hengyuan Li, et al.. (2022). Single-cell RNA sequencing reveals differential expression of EGFL7 and VEGF in giant-cell tumor of bone and osteosarcoma. Experimental Biology and Medicine. 247(14). 1214–1227. 22 indexed citations
7.
Xu, Fang, et al.. (2022). Ononin ameliorates inflammation and cartilage degradation in rat chondrocytes with IL-1β-induced osteoarthritis by downregulating the MAPK and NF-κB pathways. BMC Complementary Medicine and Therapies. 22(1). 25–25. 38 indexed citations
8.
Zhang, Li, et al.. (2022). Effects of daphnetin on biofilm formation and motility of pseudomonas aeruginosa. Frontiers in Cellular and Infection Microbiology. 12. 1033540–1033540. 14 indexed citations
9.
10.
Chen, Weiyou, et al.. (2022). Exploration of microRNA-106b-5p as a therapeutic target in intervertebral disc degeneration: a preclinical study. APOPTOSIS. 28(1-2). 199–209. 6 indexed citations
11.
12.
Jiang, Hua, et al.. (2021). MicroRNA-338-3p as a novel therapeutic target for intervertebral disc degeneration. Experimental & Molecular Medicine. 53(9). 1356–1365. 25 indexed citations
13.
Feng, Wenyu, Mingwei He, Xiaohong Jiang, et al.. (2021). Single-Cell RNA Sequencing Reveals the Migration of Osteoclasts in Giant Cell Tumor of Bone. Frontiers in Oncology. 11. 715552–715552. 23 indexed citations
14.
Wang, Siting, et al.. (2020). Gene polymorphisms and expression levels of interleukin-6 and interleukin-10 in lumbar disc disease: a meta-analysis and immunohistochemical study. Journal of Orthopaedic Surgery and Research. 15(1). 54–54. 16 indexed citations
15.
Zhang, Xiaohan, et al.. (2019). Chondroprotective and antiarthritic effects of Daphnetin used in vitro and in vivo osteoarthritis models. Life Sciences. 240. 116857–116857. 20 indexed citations
16.
Fan, Jingyuan, et al.. (2019). Extremely rare case of intravascular solitary fibrous tumour in the inferior vena cava with review of the literature. Diagnostic Pathology. 14(1). 86–86. 5 indexed citations
17.
Wang, Siting, Weiyou Chen, Xinli Zhan, et al.. (2018). Collagen IX gene polymorphisms and lumbar disc degeneration: a systematic review and meta-analysis. Journal of Orthopaedic Surgery and Research. 13(1). 47–47. 8 indexed citations
18.
Huang, Yong‐Can, Chun Hoi Yan, Pky Chiu, et al.. (2017). Abnormal subchondral bone remodeling and its association with articular cartilage degradation in knees of type 2 diabetes patients. Bone Research. 5(1). 17034–17034. 48 indexed citations
19.
Jiang, Hua, et al.. (2016). Vitamin D receptor gene polymorphisms and lumbar disc degeneration: a systematic review and meta-analysis. European Spine Journal. 26(1). 267–277. 18 indexed citations
20.
Zong, Shaohui, et al.. (2016). Assessing the evolution of scientific publications in orthopedics journals from mainland China, Hong Kong, and Taiwan: a 12-year survey of the literature. Journal of Orthopaedic Surgery and Research. 11(1). 69–69. 20 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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