Yunjia Wang

841 total citations · 1 hit paper
45 papers, 579 citations indexed

About

Yunjia Wang is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Yunjia Wang has authored 45 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 14 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Yunjia Wang's work include Scoliosis diagnosis and treatment (11 papers), Connective tissue disorders research (8 papers) and Cancer-related molecular mechanisms research (7 papers). Yunjia Wang is often cited by papers focused on Scoliosis diagnosis and treatment (11 papers), Connective tissue disorders research (8 papers) and Cancer-related molecular mechanisms research (7 papers). Yunjia Wang collaborates with scholars based in China, United States and Germany. Yunjia Wang's co-authors include Hongqi Zhang, Guanteng Yang, Mingxing Tang, Zhenhai Zhou, Chaofeng Guo, Xihong Zu, Jiong Li, Hongsheng Luo, Hailiang Huang and Guobin Yi and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Yunjia Wang

44 papers receiving 576 citations

Hit Papers

Precise Lubrication and Protection of Cartilage Damage by... 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunjia Wang China 14 227 128 89 77 64 45 579
Minjun Wang China 14 381 1.7× 186 1.5× 58 0.7× 69 0.9× 29 0.5× 48 874
Yulong Zhou China 16 272 1.2× 79 0.6× 23 0.3× 42 0.5× 70 1.1× 23 744
Qiong Wang China 12 280 1.2× 54 0.4× 30 0.3× 68 0.9× 18 0.3× 40 659
Tahereh Mazoochi Iran 14 164 0.7× 74 0.6× 40 0.4× 70 0.9× 26 0.4× 38 525
Shuo Qiu China 15 346 1.5× 84 0.7× 29 0.3× 100 1.3× 29 0.5× 25 737
Naoko Matsui Japan 20 299 1.3× 100 0.8× 61 0.7× 73 0.9× 12 0.2× 84 1.2k
A. Esposito Italy 19 373 1.6× 91 0.7× 40 0.4× 129 1.7× 20 0.3× 48 907
Weiwei Zou China 17 285 1.3× 76 0.6× 34 0.4× 95 1.2× 22 0.3× 31 647
Shihai Xia China 20 385 1.7× 169 1.3× 90 1.0× 165 2.1× 30 0.5× 59 933
Yanjiao Wu China 15 330 1.5× 59 0.5× 19 0.2× 52 0.7× 21 0.3× 35 636

Countries citing papers authored by Yunjia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunjia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjia Wang. A scholar is included among the top collaborators of Yunjia Wang 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 Yunjia Wang. Yunjia Wang 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.
Wang, Yunjia, et al.. (2025). Ginsenoside Re promotes osteogenic differentiation via BMP2/p38 pathway in vivo and in vitro. Journal of Ginseng Research. 49(4). 395–405. 1 indexed citations
2.
Zhou, Jian‐Guo, Jie Yang, Haitao Wang, et al.. (2024). Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy. SHILAP Revista de lepidopterología. 3(1). e000128–e000128. 1 indexed citations
4.
Li, Mengjun, et al.. (2024). Cobalt nanoparticles attenuate microplastic-induced vascular endothelial injury via Nrf2 pathway activation. The Science of The Total Environment. 951. 175711–175711. 2 indexed citations
5.
6.
Wang, Yunjia, et al.. (2023). Dendrobium offificinale polysaccharides prevents glucocorticoids-induced osteoporosis by destabilizing KEAP1-NRF2 interaction. International Journal of Biological Macromolecules. 253(Pt 1). 126600–126600. 8 indexed citations
7.
Zhou, Jian‐Guo, Ada Hang‐Heng Wong, Haitao Wang, et al.. (2022). Elucidation of the Application of Blood Test Biomarkers to Predict Immune-Related Adverse Events in Atezolizumab-Treated NSCLC Patients Using Machine Learning Methods. Frontiers in Immunology. 13. 862752–862752. 12 indexed citations
9.
Wang, Yunjia, Benjamin Troutwine, Hongqi Zhang, & Ryan S. Gray. (2021). The axonemal dynein heavy chain 10 gene is essential for monocilia motility and spine alignment in zebrafish. Developmental Biology. 482. 82–90. 8 indexed citations
10.
Xu, Peng, Yunjia Wang, Yunjia Wang, et al.. (2020). rs6127698 polymorphism in the MC3R gene and susceptibility to multifocal tuberculosis in southern Chinese Han population. Infection Genetics and Evolution. 82. 104292–104292. 4 indexed citations
11.
Wang, Yunjia, Zhenhao Liu, Guanteng Yang, et al.. (2020). Coding Variants Coupled With Rapid Modeling in Zebrafish Implicate Dynein Genes, dnaaf1 and zmynd10, as Adolescent Idiopathic Scoliosis Candidate Genes. Frontiers in Cell and Developmental Biology. 8. 582255–582255. 13 indexed citations
12.
Zhang, Hongqi, et al.. (2020). Dysregulation of the ghrelin/RANKL/OPG pathway in bone mass is related to AIS osteopenia. Bone. 134. 115291–115291. 15 indexed citations
13.
Wang, Yunjia, et al.. (2020). Dysregulated Bone Metabolism Is Related to High Expression of miR‐151a‐3p in Severe Adolescent Idiopathic Scoliosis. BioMed Research International. 2020(1). 4243015–4243015. 15 indexed citations
14.
Zhang, Hongqi, Mingxing Tang, Chaofeng Guo, et al.. (2020). High methylation of lysine acetyltransferase 6B is associated with the Cobb angle in patients with congenital scoliosis. Journal of Translational Medicine. 18(1). 210–210. 14 indexed citations
15.
Li, Jiong, et al.. (2019). Ghrelin up-regulates cartilage-specific genes via the ERK/STAT3 pathway in chondrocytes of patients with adolescent idiopathic scoliosis. Biochemical and Biophysical Research Communications. 518(2). 259–265. 16 indexed citations
16.
Xue, Song, et al.. (2019). Low-complexity domain of U1-70K modulates phase separation and aggregation through distinctive basic-acidic motifs. Science Advances. 5(11). eaax5349–eaax5349. 59 indexed citations
17.
Li, Jiong, Longjie Wang, Guanteng Yang, et al.. (2019). Changes in circulating cell-free nuclear DNA and mitochondrial DNA of patients with adolescent idiopathic scoliosis. BMC Musculoskeletal Disorders. 20(1). 479–479. 5 indexed citations
18.
Wang, Yunjia, et al.. (2017). Taxifolin enhances osteogenic differentiation of human bone marrow mesenchymal stem cells partially via NF-κB pathway. Biochemical and Biophysical Research Communications. 490(1). 36–43. 41 indexed citations
19.
Zhou, Zhenhai, et al.. (2016). ZNF606 interacts with Sox9 to regulate chondrocyte differentiation. Biochemical and Biophysical Research Communications. 479(4). 920–926. 4 indexed citations
20.
Sun, Yao, et al.. (2016). Effects of copper oxide nanoparticles on developing zebrafish embryos and larvae. SHILAP Revista de lepidopterología. 11 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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