Feihu Zhao

1.3k total citations
33 papers, 887 citations indexed

About

Feihu Zhao is a scholar working on Biomedical Engineering, Cell Biology and Surgery. According to data from OpenAlex, Feihu Zhao has authored 33 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 14 papers in Cell Biology and 8 papers in Surgery. Recurrent topics in Feihu Zhao's work include Bone Tissue Engineering Materials (18 papers), Cellular Mechanics and Interactions (13 papers) and 3D Printing in Biomedical Research (13 papers). Feihu Zhao is often cited by papers focused on Bone Tissue Engineering Materials (18 papers), Cellular Mechanics and Interactions (13 papers) and 3D Printing in Biomedical Research (13 papers). Feihu Zhao collaborates with scholars based in United Kingdom, Netherlands and China. Feihu Zhao's co-authors include Sandra Hofmann, Ted J. Vaughan, Laoise M. McNamara, Keita Ito, Bert van Rietbergen, J. Melke, Bin Huang, Jian Wang, Anjing Chen and Xingang Li and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Oncogene.

In The Last Decade

Feihu Zhao

32 papers receiving 882 citations

Peers

Feihu Zhao

SURGE

BIOMA

Diane R. Wagner United States

James Su United States

Varitsara Bunpetch China

Chelsea L. Fortin United States

Michael B. Albro United States

Ajaykumar Vishwakarma United States

Hermann Agis Austria

Natalia Higuita‐Castro United States

Clayton J. Underwood United States

Diane R. Wagner United States

Feihu Zhao

633 ×1.2

568 ×2.9

SURGE

220 ×1.1

224 ×1.4

299 ×2.5

BIOMA

Citations per year, relative to Feihu Zhao Feihu Zhao (= 1×) peers Diane R. Wagner

Countries citing papers authored by Feihu Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Feihu Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feihu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Feihu Zhao. A scholar is included among the top collaborators of Feihu Zhao 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 Feihu Zhao. Feihu Zhao 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

Rosa, Carlos A., Chris J. Wright, Yi Xiong, Francesco Del Giudice, & Feihu Zhao. (2025). Graded porous scaffold mediates internal fluidic environment for 3D in vitro mechanobiology. Computers in Biology and Medicine. 186. 109674–109674. 1 indexed citations

Shi, Yongquan, Hongfang Lu, Feihu Zhao, et al.. (2024). Rapid assessment of the osteogenic capacity of hydroxyapatite/aragonite using a murine tibial periosteal ossification model. Bioactive Materials. 45. 257–273.

Zhao, Feihu, Philipp Fisch, Sung Sik Lee, et al.. (2024). Synthetic biodegradable microporous hydrogels for in vitro 3D culture of functional human bone cell networks. Nature Communications. 15(1). 5027–5027. 37 indexed citations

Zhao, Wenbo, Yibo Wu, Shuai Wang, et al.. (2024). HTRA1 promotes EMT through the HDAC6 /Ac‐α‐tubulin pathway in human GBM cells. CNS Neuroscience & Therapeutics. 30(2). e14605–e14605. 4 indexed citations

Khatri, Nava Raj, et al.. (2024). Data-driven calculation of porous geometry-dependent permeability and fluid-induced wall shear stress within tissue engineering scaffolds. Journal of Engineering Design. 36(10). 1631–1645. 4 indexed citations

Deganello, Davide, et al.. (2023). Efficient calculation of fluid-induced wall shear stress within tissue engineering scaffolds by an empirical model. Medicine in Novel Technology and Devices. 18. 100223–100223. 4 indexed citations

Zhao, Feihu, et al.. (2023). Characterization of three‐dimensional bone‐like tissue growth and organization under influence of directional fluid flow. Biotechnology and Bioengineering. 120(7). 2013–2026. 4 indexed citations

Akiva, Anat, J. Melke, Sana Ansari, et al.. (2021). An Organoid for Woven Bone. Advanced Functional Materials. 31(17). 85 indexed citations

Zhao, Feihu, Yi Xiong, Keita Ito, Bert van Rietbergen, & Sandra Hofmann. (2021). Porous Geometry Guided Micro-mechanical Environment Within Scaffolds for Cell Mechanobiology Study in Bone Tissue Engineering. Frontiers in Bioengineering and Biotechnology. 9. 736489–736489. 30 indexed citations

10.

Qi, Lin, et al.. (2021). The Performance of a Spherical-tip Catheter for Stent Post-dilation: Finite Element Analysis and Experiments. Frontiers in Physiology. 12. 734565–734565. 3 indexed citations

11.

Rubert, Marina, Jolanda R. Vetsch, M. Sommer, et al.. (2020). Scaffold Pore Geometry Guides Gene Regulation and Bone-like Tissue Formation in Dynamic Cultures. Tissue Engineering Part A. 27(17-18). 1192–1204. 20 indexed citations

12.

Zhang, Xun, Feihu Zhao, Shuai Wang, et al.. (2020). Ursodeoxycholic Acid Inhibits Glioblastoma Progression via Endoplasmic Reticulum Stress Related Apoptosis and Synergizes with the Proteasome Inhibitor Bortezomib. ACS Chemical Neuroscience. 11(9). 1337–1346. 23 indexed citations

13.

Kreutzer, Joose, Marlitt Viehrig, Risto-Pekka Pölönen, et al.. (2019). Pneumatic unidirectional cell stretching device for mechanobiological studies of cardiomyocytes. Biomechanics and Modeling in Mechanobiology. 19(1). 291–303. 39 indexed citations

14.

Zhao, Feihu, J. Melke, Keita Ito, Bert van Rietbergen, & Sandra Hofmann. (2019). A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry. Biomechanics and Modeling in Mechanobiology. 18(6). 1965–1977. 38 indexed citations

15.

Melke, J., Feihu Zhao, Bert van Rietbergen, Keita Ito, & Sandra Hofmann. (2018). Localisation of mineralised tissue in a complex spinner flask environment correlates with predicted wall shear stress level localisation. European Cells and Materials. 36. 57–68. 41 indexed citations

16.

Zhao, Feihu, Bert van Rietbergen, Keita Ito, & Sandra Hofmann. (2018). Flow rates in perfusion bioreactors to maximise mineralisation in bone tissue engineering in vitro. Journal of Biomechanics. 79. 232–237. 66 indexed citations

17.

Qu, Yingmin, Zuobin Wang, Feihu Zhao, et al.. (2017). AFM-detected apoptosis of hepatocellular carcinoma cells induced by American ginseng root water extract. Micron. 104. 1–7. 22 indexed citations

18.

Zhao, Feihu, et al.. (2017). In silico study of bone tissue regeneration in an idealised porous hydrogel scaffold using a mechano-regulation algorithm. Biomechanics and Modeling in Mechanobiology. 17(1). 5–18. 20 indexed citations

19.

Zhao, Feihu, Ted J. Vaughan, & Laoise M. McNamara. (2015). Quantification of fluid shear stress in bone tissue engineering scaffolds with spherical and cubical pore architectures. Biomechanics and Modeling in Mechanobiology. 15(3). 561–577. 84 indexed citations

20.

Zhao, Feihu, Ted J. Vaughan, & Laoise M. McNamara. (2014). Multiscale fluid–structure interaction modelling to determine the mechanical stimulation of bone cells in a tissue engineered scaffold. Biomechanics and Modeling in Mechanobiology. 14(2). 231–243. 84 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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