Fangfei Nie

1.3k total citations · 1 hit paper
34 papers, 968 citations indexed

About

Fangfei Nie is a scholar working on Dermatology, Molecular Biology and Surgery. According to data from OpenAlex, Fangfei Nie has authored 34 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Dermatology, 12 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Fangfei Nie's work include Dermatologic Treatments and Research (13 papers), Wound Healing and Treatments (9 papers) and Mesenchymal stem cell research (8 papers). Fangfei Nie is often cited by papers focused on Dermatologic Treatments and Research (13 papers), Wound Healing and Treatments (9 papers) and Mesenchymal stem cell research (8 papers). Fangfei Nie collaborates with scholars based in China, United States and Canada. Fangfei Nie's co-authors include Zelian Qin, Yang An, Bailin Pan, Yonghuan Zhen, Wei Wei, Shuyan Lin, Baicheng Wang, Xiao-jie Tan, Shiou Zhu and Junhao Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Fangfei Nie

33 papers receiving 962 citations

Hit Papers

Exosomes from adipose‐derived stem cells and application ... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangfei Nie China 12 428 358 215 189 173 34 968
Yingbin Xu China 18 305 0.7× 477 1.3× 173 0.8× 269 1.4× 208 1.2× 29 1.0k
Guillermo C. Rivera-Gonzalez United States 10 320 0.7× 284 0.8× 189 0.9× 126 0.7× 115 0.7× 13 946
Ivan N. Vial United States 11 388 0.9× 603 1.7× 232 1.1× 357 1.9× 363 2.1× 17 1.5k
Shang A. Loh United States 10 172 0.4× 303 0.8× 214 1.0× 92 0.5× 320 1.8× 31 920
Marcela Salgado United States 5 429 1.0× 317 0.9× 52 0.2× 286 1.5× 108 0.6× 7 750
Tongzhu Sun China 13 214 0.5× 404 1.1× 120 0.6× 260 1.4× 163 0.9× 22 778
Josemaria Paterno United States 12 218 0.5× 517 1.4× 337 1.6× 191 1.0× 454 2.6× 15 1.3k
Ahalia M. Ferreira United States 7 249 0.6× 357 1.0× 183 0.9× 84 0.4× 112 0.6× 8 867
Charlotte Lequeux France 15 141 0.3× 177 0.5× 137 0.6× 302 1.6× 282 1.6× 20 742
Kien Trân United States 16 348 0.8× 120 0.3× 103 0.5× 52 0.3× 182 1.1× 36 1.1k

Countries citing papers authored by Fangfei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Fangfei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfei Nie. A scholar is included among the top collaborators of Fangfei Nie 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 Fangfei Nie. Fangfei Nie 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.
Nie, Fangfei, Xiaorong Wang, Airong Yang, et al.. (2025). Sociodemographic and sex differences in the global burden of hypertensive heart disease, 1990–2021: a population-based analysis. Tropical Medicine and Health. 53(1). 108–108.
2.
Zhu, Minhui, et al.. (2024). SCUBE3 Exerts a Tumor-Promoting Effect in Tongue Squamous Cell Carcinoma by Promoting CEBPA Binding to the CCL2 Promoter. Molecular Cancer Research. 22(5). 482–494. 2 indexed citations
3.
Nie, Fangfei, et al.. (2023). An experimental study of the vascular embolism caused by recombinant type III collagen implants and hyaluronic acid. Journal of Cosmetic Dermatology. 22(10). 2705–2713. 2 indexed citations
4.
An, Yang, Shuyan Lin, Xiao-jie Tan, et al.. (2021). Exosomes from adipose‐derived stem cells and application to skin wound healing. Cell Proliferation. 54(3). e12993–e12993. 325 indexed citations breakdown →
5.
Wang, Qifei, Pu Wang, Zelian Qin, et al.. (2020). Altered glucose metabolism and cell function in keloid fibroblasts under hypoxia. Redox Biology. 38. 101815–101815. 88 indexed citations
6.
Wang, Qifei, et al.. (2020). Associations of LRP5 Gene With Bone Mineral Density, Bone Turnover Markers, and Fractures in the Elderly With Osteoporosis. Frontiers in Endocrinology. 11. 571549–571549. 5 indexed citations
7.
Li, Qi, Zelian Qin, Bin Chen, et al.. (2019). Mitochondrial Dysfunction and Morphological Abnormality in Keloid Fibroblasts. Advances in Wound Care. 9(10). 539–552. 10 indexed citations
8.
An, Yang, et al.. (2019). Parathyroid hormone (PTH) promotes ADSC osteogenesis by regulating SIK2 and Wnt4. Biochemical and Biophysical Research Communications. 516(2). 551–557. 16 indexed citations
9.
Bi, Hongsen, Hui Li, Chen Zhang, et al.. (2019). Stromal vascular fraction promotes migration of fibroblasts and angiogenesis through regulation of extracellular matrix in the skin wound healing process. Stem Cell Research & Therapy. 10(1). 302–302. 121 indexed citations
10.
An, Yang, Fangfei Nie, Zelian Qin, et al.. (2019). Exosomes from Adipose-Derived Stem Cells (ADSCs) Overexpressing miR-21 Promote Vascularization of Endothelial Cells. Scientific Reports. 9(1). 12861–12861. 102 indexed citations
11.
Nie, Fangfei, et al.. (2019). Risk Comparison of Filler Embolism Between Polymethyl Methacrylate (PMMA) and Hyaluronic Acid (HA). Aesthetic Plastic Surgery. 43(3). 853–860. 21 indexed citations
12.
Zhang, Weiguang, et al.. (2018). Effect of 810 nm Near-Infrared Laser on Revascularization of Ischemic Flaps in Rats. Photomedicine and Laser Surgery. 36(6). 290–297. 12 indexed citations
13.
Zhang, Chen, et al.. (2018). Basic and Clinical Evidence of an Alternative Method to Produce Vivo Nanofat. Chinese Medical Journal. 131(5). 588–593. 20 indexed citations
14.
An, Yang, Fangfei Nie, Zelian Qin, et al.. (2018). In vitro Flow Perfusion Maintaining Long-term Viability of the Rat Groin Fat Flap. Chinese Medical Journal. 131(2). 213–217. 4 indexed citations
15.
Zhang, Zhe, Fangfei Nie, Bin Chen, et al.. (2014). Increased periostin expression affects the proliferation, collagen synthesis, migration and invasion of keloid fibroblasts under hypoxic conditions. International Journal of Molecular Medicine. 34(1). 253–261. 59 indexed citations
16.
17.
Li, Ying, Xin Yang, Fangfei Nie, et al.. (2013). Biological characteristics of human adipose-derived stem cells and their response to periostin in vitro. Chinese Medical Journal. 126(8). 1491–1497. 1 indexed citations
18.
Huang, Chen, Fangfei Nie, Zelian Qin, Bolun Li, & Xia Zhao. (2012). A Snapshot of Gene Expression Signatures Generated Using Microarray Datasets Associated With Excessive Scarring. American Journal of Dermatopathology. 35(1). 64–73. 17 indexed citations
19.
Nie, Fangfei, Qi Wang, & Zelian Qin. (2008). [The expression of fibrillin 1 in pathologic scars and its significance].. PubMed. 24(5). 339–42. 1 indexed citations
20.
Nie, Fangfei, et al.. (2005). [Expression of thymosin beta 4 mRNA expression in keloid tissues and fibroblasts cultured from keloid and its significance].. PubMed. 17(2). 80–3. 1 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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