Jinglong Yan

874 total citations
37 papers, 711 citations indexed

About

Jinglong Yan is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jinglong Yan has authored 37 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Biomedical Engineering and 12 papers in Biomaterials. Recurrent topics in Jinglong Yan's work include Bone Tissue Engineering Materials (13 papers), Bone Metabolism and Diseases (6 papers) and Magnesium Alloys: Properties and Applications (5 papers). Jinglong Yan is often cited by papers focused on Bone Tissue Engineering Materials (13 papers), Bone Metabolism and Diseases (6 papers) and Magnesium Alloys: Properties and Applications (5 papers). Jinglong Yan collaborates with scholars based in China, United States and Canada. Jinglong Yan's co-authors include Chengchao Song, Guanghua Chen, Ye Ji, Nan Zhang, Wanli W. Smith, Jinpeng Zhuang, Zhen Zhang, Lingbo Kong, Xiaobin Yang and Xintao Wang and has published in prestigious journals such as PLoS ONE, Biochemical Journal and The FASEB Journal.

In The Last Decade

Jinglong Yan

36 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinglong Yan China 16 273 237 189 133 80 37 711
Erin L. Hsu United States 21 592 2.2× 281 1.2× 227 1.2× 320 2.4× 50 0.6× 47 1.4k
Yuhui Chen China 14 264 1.0× 238 1.0× 163 0.9× 178 1.3× 70 0.9× 50 869
Xueli Mao China 19 331 1.2× 484 2.0× 152 0.8× 172 1.3× 93 1.2× 52 1.1k
Weizhong Qi China 14 227 0.8× 251 1.1× 54 0.3× 123 0.9× 65 0.8× 22 764
Célio Júnior da Costa Fernandes Brazil 18 286 1.0× 302 1.3× 81 0.4× 97 0.7× 93 1.2× 53 726
Kaijin Guo China 15 345 1.3× 293 1.2× 129 0.7× 123 0.9× 95 1.2× 27 907
Ya Guan United States 14 311 1.1× 165 0.7× 344 1.8× 229 1.7× 69 0.9× 27 938
Shuo Guo China 11 317 1.2× 232 1.0× 94 0.5× 103 0.8× 84 1.1× 22 647
Shunyi Lu China 14 239 0.9× 143 0.6× 112 0.6× 135 1.0× 62 0.8× 43 611
Chengai Wu China 15 252 0.9× 138 0.6× 239 1.3× 174 1.3× 26 0.3× 34 713

Countries citing papers authored by Jinglong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jinglong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglong Yan. A scholar is included among the top collaborators of Jinglong Yan 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 Jinglong Yan. Jinglong Yan 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.
Lv, Shuai, Yang Zhang, Wenbo Xu, et al.. (2025). Biomimetic Barium Titanate/PLA Scaffold with Shape Memory and Bioelectro-Active Capacities Promotes Bone Regeneration. International Journal of Nanomedicine. Volume 20. 13231–13253.
2.
Chen, Mingqiang, Mingming Zhang, Xiang Cui, et al.. (2024). The influence of Type I and III collagen on the proliferation, migration and differentiation of myoblasts. Tissue and Cell. 90. 102506–102506. 5 indexed citations
3.
Zhang, Mingshu, et al.. (2023). Consensus cluster analysis of apoptosis-related genes in patients with osteoarthritis and their correlation with immune cell infiltration. Frontiers in Immunology. 14. 1202758–1202758. 9 indexed citations
4.
5.
Zhang, Zhengye, et al.. (2021). Stromal cell-derived factor (SDF)-1α and platelet-rich plasma enhance bone regeneration and angiogenesis simultaneously in situ in rabbit calvaria. Journal of Materials Science Materials in Medicine. 32(9). 125–125. 7 indexed citations
6.
Wang, Guangxi, Jinglong Yan, Hao Zhang, et al.. (2021). Transient activation of notch signaling enhances endogenous stromal cell expansion and subsequent bone defect repair. Journal of Orthopaedic Translation. 31. 26–32. 3 indexed citations
7.
Chi, Hui, Guanghua Chen, Yixin He, et al.. (2020). <p>3D-HA Scaffold Functionalized by Extracellular Matrix of Stem Cells Promotes Bone Repair</p>. International Journal of Nanomedicine. Volume 15. 5825–5838. 34 indexed citations
8.
Zhang, Nan, Weidan Wang, Xiuzhi Zhang, et al.. (2020). The effect of different coatings on bone response and degradation behavior of porous magnesium-strontium devices in segmental defect regeneration. Bioactive Materials. 6(6). 1765–1776. 40 indexed citations
9.
Wu, Yunfeng, Yaming Wang, Dewei Zhao, et al.. (2019). In vivo study of microarc oxidation coated Mg alloy as a substitute for bone defect repairing: Degradation behavior, mechanical properties, and bone response. Colloids and Surfaces B Biointerfaces. 181. 349–359. 38 indexed citations
10.
Chen, Guanghua, Yi Sun, Anlong Jiang, et al.. (2019). A three-dimensional (3D) printed biomimetic hierarchical scaffold with a covalent modular release system for osteogenesis. Materials Science and Engineering C. 104. 109842–109842. 33 indexed citations
11.
Lian, Feng, et al.. (2018). Icariin attenuates titanium particle‐induced inhibition of osteogenic differentiation and matrix mineralization via miR‐21‐5p. Cell Biology International. 42(8). 931–939. 24 indexed citations
12.
Huang, Jiaqi, Hui Chi, Yufu Wang, et al.. (2018). Stromal Cell-Derived Factor 1 Promotes Cell Migration to Enhance Bone Regeneration After Hypoxic Preconditioning. Tissue Engineering Part A. 25(17-18). 1300–1309. 7 indexed citations
13.
14.
Wang, Xiaoyan, et al.. (2017). Preparation and Characterization of a Chitosan/Gelatin/Extracellular Matrix Scaffold and Its Application in Tissue Engineering. Tissue Engineering Part C Methods. 23(3). 169–179. 28 indexed citations
15.
Xie, Huanxin, Ye Ji, Tian Qi, et al.. (2017). Autogenous bone particle/titanium fiber composites for bone regeneration in a rabbit radius critical-size defect model. Connective Tissue Research. 58(6). 553–561. 7 indexed citations
16.
Zhao, Wei, et al.. (2014). Matrine inhibits the growth and induces apoptosis of osteosarcoma cells in vitro by inactivating the Akt pathway. Tumor Biology. 36(3). 1653–1659. 14 indexed citations
17.
Wang, Xintao, et al.. (2013). Aggrecan Variable Number of Tandem Repeat Polymorphism and Lumbar Disc Degeneration. Spine. 38(25). E1600–E1607. 17 indexed citations
18.
Cui, Li, Ning Qu, Yu Liu, et al.. (2013). Arsenic trioxide induces cardiac fibroblast apoptosis in vitro and in vivo by up-regulating TGF-β1 expression. Toxicology Letters. 219(3). 223–230. 26 indexed citations
19.
Wang, Xintao, et al.. (2011). The fate of donor osteocytes in fine particulate bone powders during repair of bone defects in experimental rats. Acta Histochemica. 114(3). 192–198. 12 indexed citations
20.
Yan, Jinglong, et al.. (2010). Improving bone marrow stromal cell attachment on chitosan/hydroxyapatite scaffolds by an immobilized RGD peptide. Biomedical Materials. 5(6). 65001–65001. 29 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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