Fa‐Ming Chen

9.9k total citations · 3 hit papers
110 papers, 6.6k citations indexed

About

Fa‐Ming Chen is a scholar working on Urology, Molecular Biology and Genetics. According to data from OpenAlex, Fa‐Ming Chen has authored 110 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Urology, 31 papers in Molecular Biology and 31 papers in Genetics. Recurrent topics in Fa‐Ming Chen's work include Periodontal Regeneration and Treatments (40 papers), Mesenchymal stem cell research (31 papers) and Bone Tissue Engineering Materials (16 papers). Fa‐Ming Chen is often cited by papers focused on Periodontal Regeneration and Treatments (40 papers), Mesenchymal stem cell research (31 papers) and Bone Tissue Engineering Materials (16 papers). Fa‐Ming Chen collaborates with scholars based in China, United States and United Kingdom. Fa‐Ming Chen's co-authors include Xiaohua Liu, Yan Jin, Zhifen Wu, Hai‐Hua Sun, Min Zhang, Min Zhang, Ying An, Li‐Na Gao, Hongfang Lu and Qing Yu and has published in prestigious journals such as PLoS ONE, Biomaterials and Progress in Polymer Science.

In The Last Decade

Fa‐Ming Chen

109 papers receiving 6.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advancing biomaterials of human origin for tissue engineering

2015 852 citations Fa‐Ming Chen, Xiaohua Liu profile →
Toward delivery of multiple growth factors in tissue engineering

2010 519 citations Fa‐Ming Chen, Min Zhang et al. Biomaterials profile →
Treatment of periodontal intrabony defects using autologous periodontal ligament stem cells: a randomized clinical trial

2016 276 citations Fa‐Ming Chen, Li‐Na Gao et al. Stem Cell Research & Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fa‐Ming Chen China	42	2.1k	2.0k	1.9k	1.6k	1.4k	110	6.6k
Shizuko Ichinose Japan	48	823 0.4×	1.7k 0.8×	1.0k 0.6×	1.2k 0.7×	2.2k 1.5×	182	8.7k
Byoung‐Moo Seo South Korea	29	2.5k 1.2×	939 0.5×	3.2k 1.7×	1.1k 0.7×	3.0k 2.1×	67	8.6k
Chider Chen United States	48	888 0.4×	1.1k 0.6×	2.6k 1.4×	676 0.4×	2.7k 1.9×	117	8.3k
Takanori Iwata Japan	32	1.3k 0.6×	716 0.4×	1.3k 0.7×	527 0.3×	1.1k 0.8×	169	4.1k
Misako Nakashima Japan	44	1.9k 0.9×	901 0.4×	2.3k 1.2×	627 0.4×	2.4k 1.6×	100	6.9k
Marco N. Helder Netherlands	48	807 0.4×	1.8k 0.9×	1.6k 0.8×	1.1k 0.7×	1.7k 1.2×	153	6.8k
Alfredo De Rosa Italy	36	1.0k 0.5×	1.1k 0.5×	1.9k 1.0×	572 0.4×	1.2k 0.8×	71	4.3k
José Mauro Granjeiro Brazil	48	1.5k 0.7×	3.4k 1.7×	709 0.4×	1.0k 0.6×	2.4k 1.7×	415	10.4k
George T.‐J. Huang United States	45	1.9k 0.9×	876 0.4×	2.3k 1.2×	553 0.3×	1.9k 1.4×	97	7.8k
Hideaki Kagami Japan	37	650 0.3×	1.2k 0.6×	893 0.5×	922 0.6×	1.1k 0.7×	134	4.0k

Countries citing papers authored by Fa‐Ming Chen

Since Specialization

Citations

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

Fields of papers citing papers by Fa‐Ming Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fa‐Ming Chen. 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 Fa‐Ming Chen. The network helps show where Fa‐Ming Chen may publish in the future.

Co-authorship network of co-authors of Fa‐Ming Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Yuzhe, Ning Zhang, Wenjie Zhang, et al.. (2025). SiO2 nanoparticle-encapsulated metformin delivered by a poly(lactic-co-glycolic acid)/polycaprolactone electrospun nanofiber membrane promotes cell osteogenesis under high-glucose conditions: In vitro and in vivo studies. 1(1). 100007–100007. 1 indexed citations

Lyu, Ming‐Ju Amy, Qiming Tang, Yanjie Wang, et al.. (2022). Evolution of gene regulatory network of C4 photosynthesis in the genus Flaveria reveals the evolutionary status of C3-C4 intermediate species. Plant Communications. 4(1). 100426–100426. 5 indexed citations

Deng, Dao‐Kun, Rui‐Xin Wu, Yi Tian, et al.. (2022). Roles of extracellular vesicles in periodontal homeostasis and their therapeutic potential. Journal of Nanobiotechnology. 20(1). 545–545. 24 indexed citations

Zhang, Yangheng, Yuxian Wang, Peng Wang, et al.. (2022). Antibiofilm activity of ultra-small gold nanoclusters against Fusobacterium nucleatum in dental plaque biofilms. Journal of Nanobiotechnology. 20(1). 470–470. 33 indexed citations

Wang, Bin, Jia Zhang, Jingluan Han, et al.. (2020). Rice LecRK5 phosphorylates a UGPase to regulate callose biosynthesis during pollen development. Journal of Experimental Botany. 71(14). 4033–4041. 29 indexed citations

Wu, Rui‐Xin, Xiao‐Tao He, Yuan Yin, et al.. (2019). Modulating macrophage responses to promote tissue regeneration by changing the formulation of bone extracellular matrix from filler particles to gel bioscaffolds. Materials Science and Engineering C. 101. 330–340. 37 indexed citations

Liu, Rui, Huili Wang, Manjing Deng, et al.. (2018). Melatonin Inhibits Reactive Oxygen Species‐Driven Proliferation, Epithelial‐Mesenchymal Transition, and Vasculogenic Mimicry in Oral Cancer. Oxidative Medicine and Cellular Longevity. 2018(1). 3510970–3510970. 53 indexed citations

Liu, Rui, Huili Wang, Lei Li, et al.. (2018). Oxysophocarpine Retards the Growth and Metastasis of Oral Squamous Cell Carcinoma by Targeting the Nrf2/HO-1 Axis. Cellular Physiology and Biochemistry. 49(5). 1717–1733. 26 indexed citations

Yin, Yuan, Rui‐Xin Wu, Xiao‐Tao He, et al.. (2017). Influences of age-related changes in mesenchymal stem cells on macrophages during in-vitro culture. Stem Cell Research & Therapy. 8(1). 153–153. 47 indexed citations

10.

Wang, Zhongshan, Zhihong Feng, Guofeng Wu, et al.. (2016). The use of platelet-rich fibrin combined with periodontal ligament and jaw bone mesenchymal stem cell sheets for periodontal tissue engineering. Scientific Reports. 6(1). 28126–28126. 65 indexed citations

11.

Chen, Yongjin, Yin-Hua Zhao, Ya-Juan Zhao, et al.. (2015). Potential dental pulp revascularization and odonto-/osteogenic capacity of a novel transplant combined with dental pulp stem cells and platelet-rich fibrin. Cell and Tissue Research. 361(2). 439–455. 68 indexed citations

12.

Lei, Ming, Kun Li, Bei Li, et al.. (2014). Mesenchymal stem cell characteristics of dental pulp and periodontal ligament stem cells after in vivo transplantation. Biomaterials. 35(24). 6332–6343. 140 indexed citations

13.

Liu, Bin, Xinying Tan, Yanpu Liu, et al.. (2012). The Adjuvant Use of Stromal Vascular Fraction and Platelet-Rich Fibrin for Autologous Adipose Tissue Transplantation. Tissue Engineering Part C Methods. 19(1). 1–14. 70 indexed citations

14.

Chen, Caiyun, Fa‐Ming Chen, Chuan Cai, et al.. (2012). Osteogenic differentiation of human periodontal ligament stem cells expressing lentiviral NEL-like protein 1. International Journal of Molecular Medicine. 30(4). 863–869. 7 indexed citations

15.

Zhang, Rong, et al.. (2011). Expression of dentine sialophosphoprotein in mouse nasal cartilage. Archives of Oral Biology. 57(6). 607–613. 7 indexed citations

16.

Chen, Chider, Yi Liu, Kentaro Akiyama, et al.. (2011). Basic fibroblast growth factor inhibits osteogenic differentiation of stem cells from human exfoliated deciduous teeth through ERK signaling. Oral Diseases. 18(3). 285–292. 32 indexed citations

17.

Chen, Fa‐Ming, Jing Zhang, Min Zhang, et al.. (2010). A review on endogenous regenerative technology in periodontal regenerative medicine. Biomaterials. 31(31). 7892–7927. 296 indexed citations

18.

Chen, Fa‐Ming, Ying An, Rong Zhang, & Min Zhang. (2010). New insights into and novel applications of release technology for periodontal reconstructive therapies. Journal of Controlled Release. 149(2). 92–110. 101 indexed citations

19.

Chen, Fa‐Ming & Yan Jin. (2009). Periodontal Tissue Engineering and Regeneration: Current Approaches and Expanding Opportunities. Tissue Engineering Part B Reviews. 16(2). 219–255. 269 indexed citations

20.

Chen, Fa‐Ming, Hai‐Hua Sun, Tao Jin, et al.. (2006). Novel glycidyl methacrylated dextran (Dex-GMA)/gelatin hydrogel scaffolds containing microspheres loaded with bone morphogenetic proteins: Formulation and characteristics. Journal of Controlled Release. 118(1). 65–77. 94 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.

Explore authors with similar magnitude of impact