Xiaobing Fu

20.7k total citations · 8 hit papers
532 papers, 15.6k citations indexed

About

Xiaobing Fu is a scholar working on Rehabilitation, Molecular Biology and Genetics. According to data from OpenAlex, Xiaobing Fu has authored 532 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 193 papers in Rehabilitation, 190 papers in Molecular Biology and 99 papers in Genetics. Recurrent topics in Xiaobing Fu's work include Wound Healing and Treatments (193 papers), Mesenchymal stem cell research (97 papers) and Pluripotent Stem Cells Research (50 papers). Xiaobing Fu is often cited by papers focused on Wound Healing and Treatments (193 papers), Mesenchymal stem cell research (97 papers) and Pluripotent Stem Cells Research (50 papers). Xiaobing Fu collaborates with scholars based in China, United States and Mexico. Xiaobing Fu's co-authors include Weidong Han, Sha Huang, Yali Zhao, Kui Ma, Haihong Li, Zhiyong Sheng, Haojie Hao, Xiaoyan Sun, Cuiping Zhang and Meirong Li and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Xiaobing Fu

514 papers receiving 15.3k citations

Hit Papers

LPS-preconditioned mesenc... 2015 2026 2018 2022 2015 2018 2021 2022 2021 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaobing Fu 5.1k 4.4k 2.9k 2.5k 2.3k 532 15.6k
Boris Hinz 7.3k 1.4× 3.8k 0.9× 1.8k 0.6× 4.7k 1.8× 1.9k 0.8× 175 25.7k
Luisa A. DiPietro 4.6k 0.9× 8.5k 1.9× 1.4k 0.5× 3.0k 1.2× 2.3k 1.0× 150 19.1k
Richard A.F. Clark 4.6k 0.9× 6.9k 1.6× 1.1k 0.4× 2.9k 1.1× 3.0k 1.3× 129 18.0k
Marjana Tomic‐Canic 4.1k 0.8× 9.7k 2.2× 1.7k 0.6× 2.5k 1.0× 3.0k 1.3× 166 17.6k
Robert D. Galiano 4.0k 0.8× 3.9k 0.9× 1.9k 0.6× 2.5k 1.0× 1.1k 0.5× 201 11.1k
Sabine A. Eming 3.3k 0.7× 5.5k 1.2× 1.1k 0.4× 1.9k 0.8× 2.0k 0.8× 136 12.7k
Vincent Falanga 3.4k 0.7× 9.1k 2.0× 1.9k 0.7× 5.3k 2.1× 2.3k 1.0× 255 18.8k
Yann Barrandon 5.0k 1.0× 4.2k 0.9× 1.2k 0.4× 1.5k 0.6× 1.8k 0.8× 86 14.2k
Edward E. Tredget 2.8k 0.5× 6.1k 1.4× 2.7k 0.9× 2.7k 1.1× 1.4k 0.6× 214 13.2k
Harold Brem 2.9k 0.6× 5.5k 1.2× 1.1k 0.4× 2.0k 0.8× 1.5k 0.6× 91 11.2k

Countries citing papers authored by Xiaobing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Fu. A scholar is included among the top collaborators of Xiaobing Fu 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 Xiaobing Fu. Xiaobing Fu 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.
Huang, Yuyan, et al.. (2025). Revolutionizing Chronic Wound Treatment: Treating Bleomycin Intralesional Injection–Related Chronic Wounds with 3-Dimensional Bioprinted Skin Substitutes. Journal of Investigative Dermatology. 145(8). 2111–2114.e7. 1 indexed citations
2.
Ji, Shuaifei, Yingying Li, Lei Xiang, et al.. (2024). Cocktail Cell‐Reprogrammed Hydrogel Microspheres Achieving Scarless Hair Follicle Regeneration. Advanced Science. 11(12). e2306305–e2306305. 19 indexed citations
3.
Ji, Shuaifei, Yingying Li, Lei Xiang, et al.. (2024). Cell-reprogrammed three lineage-driven biomimetic devices yielding multiple skin appendage regeneration. Nano Today. 57. 102376–102376.
4.
Chu, Ziqiang, Ye Zheng, Qi Shen, et al.. (2024). Neutrophil extracellular traps with low concentrations induce proliferation and migration of human fibroblasts via activating CCDC25/ILK/PI3K/AKT pathway. Biochemical and Biophysical Research Communications. 738. 150954–150954. 2 indexed citations
5.
Chen, Shengqiu, Yi Xie, Kui Ma, et al.. (2024). Electrospun nanofibrous membranes meet antibacterial nanomaterials: From preparation strategies to biomedical applications. Bioactive Materials. 42. 478–518. 21 indexed citations
6.
Meng, Sheng, Shengqiu Chen, Xi Liu, et al.. (2024). MiR‐141‐3p‐Functionalized Exosomes Loaded in Dissolvable Microneedle Arrays for Hypertrophic Scar Treatment (Small 8/2024). Small. 20(8). 8 indexed citations
7.
Liu, Yawei, Wei Pi, Hongliang Zhang, et al.. (2024). Customized Proteinaceous Nanoformulation for In Vivo Chemical Reprogramming. Advanced Materials. 36(28). e2311845–e2311845. 3 indexed citations
8.
Wang, Mengyang, D.J. Hu, Yujia Wang, et al.. (2024). NIR‐Responsive Multifunctional Artificial Skin for Regenerative Wound Healing. Advanced Functional Materials. 34(44). 12 indexed citations
9.
Xiong, Mingchen, Xinling Yang, Ziwei Shi, et al.. (2024). Programmable Artificial Skins Accomplish Antiscar Healing with Multiple Appendage Regeneration. Advanced Materials. 36(50). e2407322–e2407322. 13 indexed citations
10.
Wang, Mengyang, et al.. (2024). Advances and applications of biomimetic biomaterials for endogenous skin regeneration. Bioactive Materials. 39. 492–520. 17 indexed citations
11.
Qian, Wei, Lu Lu, Shengnan Cui, et al.. (2023). Immunomodulatory potential of mesenchymal stem cell-derived extracellular vesicles: Targeting immune cells. Frontiers in Immunology. 14. 1094685–1094685. 37 indexed citations
12.
Chu, Ziqiang, Qilin Huang, Kui Ma, et al.. (2023). Novel neutrophil extracellular trap-related mechanisms in diabetic wounds inspire a promising treatment strategy with hypoxia-challenged small extracellular vesicles. Bioactive Materials. 27. 257–270. 56 indexed citations
14.
Song, Wei, Bin Yao, Yijie Zhang, et al.. (2021). 3D-bioprinted microenvironments for sweat gland regeneration. Burns & Trauma. 10. tkab044–tkab044. 11 indexed citations
16.
Liu, Yufan, Zhao Li, Jianjun Li, et al.. (2020). Stiffness-mediated mesenchymal stem cell fate decision in 3D-bioprinted hydrogels. Burns & Trauma. 8. tkaa029–tkaa029. 49 indexed citations
17.
Yao, Bin, Rui Wang, Yihui Wang, et al.. (2020). Biochemical and structural cues of 3D-printed matrix synergistically direct MSC differentiation for functional sweat gland regeneration. Science Advances. 6(10). eaaz1094–eaaz1094. 80 indexed citations
18.
Mei, Qian, Xiang Li, Kang Zhang, et al.. (2016). Genetic and Methylation-Induced Loss of miR-181a2/181b2 within chr9q33.3 Facilitates Tumor Growth of Cervical Cancer through the PIK3R3/Akt/FoxO Signaling Pathway. Clinical Cancer Research. 23(2). 575–586. 30 indexed citations
19.
Xu, Mengyao, et al.. (2015). Transdifferentiation of Fibroblasts by Defined Factors. Cellular Reprogramming. 17(3). 151–159. 4 indexed citations
20.
Liao, Xuan, Hongwei Liu, Biao Cheng, et al.. (2014). Helium-Neon Laser Irradiation Promotes the Proliferation and Migration of Human Epidermal Stem Cells In Vitro : Proposed Mechanism for Enhanced Wound Re-epithelialization. Photomedicine and Laser Surgery. 32(4). 219–225. 50 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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