Fangjun Huo

1.1k total citations
32 papers, 824 citations indexed

About

Fangjun Huo is a scholar working on Biomedical Engineering, Genetics and Surgery. According to data from OpenAlex, Fangjun Huo has authored 32 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 11 papers in Genetics and 9 papers in Surgery. Recurrent topics in Fangjun Huo's work include Mesenchymal stem cell research (11 papers), Bone Tissue Engineering Materials (10 papers) and Periodontal Regeneration and Treatments (9 papers). Fangjun Huo is often cited by papers focused on Mesenchymal stem cell research (11 papers), Bone Tissue Engineering Materials (10 papers) and Periodontal Regeneration and Treatments (9 papers). Fangjun Huo collaborates with scholars based in China, Hong Kong and Ethiopia. Fangjun Huo's co-authors include Weidong Tian, Shujuan Guo, Weihua Guo, Weiwei Shi, Li Liu, Xie Li, Yafei Wu, Bo Yang, Qian Liu and Yue Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Advanced Functional Materials.

In The Last Decade

Fangjun Huo

31 papers receiving 817 citations

Peers

Fangjun Huo

GENET

UROLO

SURGE

Quanchen Xu China

Lingling Chen China

Bei‐Min Tian China

Hermann Agis Austria

W. Benton Swanson United States

Eva Dohle Germany

Andrei D. Taut United States

Rahime M. Nohutçu Türkiye

Patricia Sarrión Spain

Sainan Wang China

Quanchen Xu China

Fangjun Huo

379 ×1.3

169 ×0.6

284 ×1.3

GENET

238 ×1.2

UROLO

146 ×0.9

SURGE

Citations per year, relative to Fangjun Huo Fangjun Huo (= 1×) peers Quanchen Xu

Countries citing papers authored by Fangjun Huo

Since Specialization

Citations

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

Fields of papers citing papers by Fangjun Huo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangjun Huo

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

All Works

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20 of 20 papers shown

An, Lin, et al.. (2025). Scaffold-free cell sheet therapies: clinical advances, global approval landscapes, and strategic directions to address regenerative medicine barriers. Stem Cell Research & Therapy. 17(1). 5–5.

Tang, Weibing, Fangjun Huo, Xinghui Gao, et al.. (2024). Melatonin-coated nanofiber cell sheets promote periodontal regeneration through ROS scavenging and preservation of stemness. Chemical Engineering Journal. 497. 154626–154626. 5 indexed citations

Tang, Weibing, et al.. (2023). Cellular Senescence in Craniofacial Tissue Regeneration: Inducers, Biomarkers, and Interventions. Tissue Engineering Part B Reviews. 30(1). 128–141. 4 indexed citations

Guo, Shujuan, et al.. (2023). Dental Follicle Stem Cells Promote Periodontal Regeneration through Periostin-Mediated Macrophage Infiltration and Reprogramming in an Inflammatory Microenvironment. International Journal of Molecular Sciences. 24(7). 6353–6353. 22 indexed citations

Chen, Jiahao, et al.. (2023). Personalized 3D‐Printed Scaffolds with Multiple Bioactivities for Bioroot Regeneration. Advanced Healthcare Materials. 12(28). e2300625–e2300625. 11 indexed citations

Wen, Bo, Xue Han, Fangjun Huo, et al.. (2023). Biomineralization-inspired mineralized hydrogel promotes the repair and regeneration of dentin/bone hard tissue. npj Regenerative Medicine. 8(1). 11–11. 40 indexed citations

Liu, Li, et al.. (2022). Dental follicle cells‐derived small extracellular vesicles inhibit pathogenicity of Porphyromonas gingivalis. Oral Diseases. 29(5). 2297–2309. 10 indexed citations

Liu, Qian, et al.. (2022). Lipopolysaccharide-Preconditioned Dental Follicle Stem Cells Derived Small Extracellular Vesicles Treating Periodontitis via Reactive Oxygen Species/Mitogen-Activated Protein Kinase Signaling-Mediated Antioxidant Effect. SHILAP Revista de lepidopterología. 49 indexed citations

Guo, Shujuan, et al.. (2022). Inhibition of TRPA1 Ameliorates Periodontitis by Reducing Periodontal Ligament Cell Oxidative Stress and Apoptosis via PERK/eIF2α/ATF‐4/CHOP Signal Pathway. Oxidative Medicine and Cellular Longevity. 2022(1). 4107915–4107915. 20 indexed citations

10.

Zhang, Siyuan, Yue Ma, Xueting Yang, et al.. (2022). Matrix vesicles from dental follicle cells improve alveolar bone regeneration via activation of the PLC/PKC/MAPK pathway. Stem Cell Research & Therapy. 13(1). 41–41. 34 indexed citations

11.

Hu, Hong, Yufeng Duan, Kun Wang, et al.. (2022). Dental niche cells directly contribute to tooth reconstitution and morphogenesis. Cell Reports. 41(10). 111737–111737. 21 indexed citations

12.

Lan, Tingting, Jie Chen, Jiayu Zhang, et al.. (2021). Xenoextracellular matrix-rosiglitazone complex-mediated immune evasion promotes xenogenic bioengineered root regeneration by altering M1/M2 macrophage polarization. Biomaterials. 276. 121066–121066. 24 indexed citations

13.

He, Min, Bo Yang, Fangjun Huo, et al.. (2021). A novel coating with universal adhesion and inflammation-responsive drug release functions to manipulate the osteoimmunomodulation of implants. Journal of Materials Chemistry B. 9(26). 5272–5283. 13 indexed citations

14.

Liu, Li, Shujuan Guo, Weiwei Shi, et al.. (2020). Bone Marrow Mesenchymal Stem Cell-Derived Small Extracellular Vesicles Promote Periodontal Regeneration. Tissue Engineering Part A. 27(13-14). 962–976. 128 indexed citations

15.

Li, Hui, Jingjing Sun, Hefeng Yang, et al.. (2020). Recruited CD68+CD206+ macrophages orchestrate graft immune tolerance to prompt xenogeneic-dentin matrix-based tooth root regeneration. Bioactive Materials. 6(4). 1051–1072. 22 indexed citations

16.

Han, Xue, Xie Li, Hui Li, et al.. (2020). Xenogeneic native decellularized matrix carrying PPARγ activator RSG regulating macrophage polarization to promote ligament-to-bone regeneration. Materials Science and Engineering C. 116. 111224–111224. 25 indexed citations

17.

Huo, Fangjun, et al.. (2020). Reparative Dentin Formation by Dentin Matrix Proteins and Small Extracellular Vesicles. Journal of Endodontics. 47(2). 253–262. 27 indexed citations

18.

Wu, Hao, Xie Li, Min He, et al.. (2019). A wear-resistant TiO2 nanoceramic coating on titanium implants for visible-light photocatalytic removal of organic residues. Acta Biomaterialia. 97. 597–607. 37 indexed citations

19.

Yang, Hefeng, Jie Li, Yu Hu, et al.. (2019). Treated dentin matrix particles combined with dental follicle cell sheet stimulate periodontal regeneration. Dental Materials. 35(9). 1238–1253. 55 indexed citations

20.

Sun, Jingjing, Jie Li, Hui Li, et al.. (2017). tBHQ Suppresses Osteoclastic Resorption in Xenogeneic‐Treated Dentin Matrix‐Based Scaffolds. Advanced Healthcare Materials. 6(18). 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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