Xiao Hu

12.5k total citations · 3 hit papers
141 papers, 10.2k citations indexed

About

Xiao Hu is a scholar working on Biomaterials, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Xiao Hu has authored 141 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Biomaterials, 35 papers in Biomedical Engineering and 24 papers in Molecular Biology. Recurrent topics in Xiao Hu's work include Silk-based biomaterials and applications (109 papers), Electrospun Nanofibers in Biomedical Applications (61 papers) and Biochemical and Structural Characterization (17 papers). Xiao Hu is often cited by papers focused on Silk-based biomaterials and applications (109 papers), Electrospun Nanofibers in Biomedical Applications (61 papers) and Biochemical and Structural Characterization (17 papers). Xiao Hu collaborates with scholars based in United States, China and Australia. Xiao Hu's co-authors include David L. Kaplan, Peggy Cebe, Qiang Lü, Xiaoqin Wang, Sang‐Hyug Park, Fiorenzo G. Omenetto, Ye Xue, Shenzhou Lu, Lin Sun and Anthony S. Weiss and has published in prestigious journals such as Nature Communications, PLoS ONE and Biomaterials.

In The Last Decade

Xiao Hu

140 papers receiving 10.1k citations

Hit Papers

Determining Beta-Sheet Crystallinity in Fibrous Proteins ... 2006 2026 2012 2019 2006 2009 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao Hu United States 50 7.9k 3.0k 2.2k 1.2k 815 141 10.2k
Xiaoqin Wang China 39 6.2k 0.8× 3.1k 1.1× 1.7k 0.8× 1.2k 1.0× 668 0.8× 136 8.7k
Qiang Lü China 53 5.4k 0.7× 2.9k 1.0× 1.4k 0.6× 807 0.7× 726 0.9× 185 7.9k
Zhengzhong Shao China 67 10.0k 1.3× 4.3k 1.5× 2.5k 1.2× 1.9k 1.6× 1.9k 2.4× 320 14.7k
Keiji Numata Japan 52 5.4k 0.7× 1.7k 0.6× 3.8k 1.7× 618 0.5× 594 0.7× 258 8.7k
Thomas Scheibel Germany 63 10.9k 1.4× 3.5k 1.2× 6.7k 3.0× 2.0k 1.7× 981 1.2× 288 15.1k
Hyoung‐Joon Jin South Korea 55 8.1k 1.0× 4.2k 1.4× 1.3k 0.6× 1.2k 1.0× 2.1k 2.5× 287 14.8k
Biman B. Mandal India 57 6.3k 0.8× 4.0k 1.3× 1.7k 0.8× 610 0.5× 530 0.7× 184 9.8k
Peggy Cebe United States 57 8.2k 1.0× 3.7k 1.2× 1.7k 0.8× 1.3k 1.1× 1.5k 1.9× 196 12.3k
Chunmei Li China 38 4.5k 0.6× 3.1k 1.1× 1.3k 0.6× 629 0.5× 401 0.5× 113 7.2k
Giuliano Freddi Italy 46 5.8k 0.7× 1.8k 0.6× 1.2k 0.5× 820 0.7× 276 0.3× 155 7.5k

Countries citing papers authored by Xiao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Hu. A scholar is included among the top collaborators of Xiao Hu 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 Xiao Hu. Xiao Hu 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.
Durant, F., et al.. (2025). New Frontiers in 3D Printing Using Biocompatible Polymers. International Journal of Molecular Sciences. 26(16). 8016–8016. 1 indexed citations
2.
3.
Cohen, Michael B., et al.. (2025). Silk-Soy Alloy Materials: Influence of Silk Types (Mori, Thai, Muga, Tussah, and Eri) on the Structure, Properties, and Functionality of Insect–Plant Protein Blends (II). International Journal of Molecular Sciences. 26(10). 4563–4563. 2 indexed citations
5.
Cohen, Michael B., et al.. (2024). Silk-Corn Zein Alloy Materials: Influence of Silk Types (Mori, Thai, Muga, Tussah, and Eri) on the Structure, Properties, and Functionality of Insect–Plant Protein Blends. International Journal of Molecular Sciences. 26(1). 186–186. 2 indexed citations
6.
Rodriguez, Gianna M., et al.. (2024). Protein and Polysaccharide-Based Optical Materials for Biomedical Applications. International Journal of Molecular Sciences. 25(3). 1861–1861. 8 indexed citations
7.
Cruz, David Salas‐de la, et al.. (2023). The Integration of Biopolymer-Based Materials for Energy Storage Applications: A Review. International Journal of Molecular Sciences. 24(4). 3975–3975. 42 indexed citations
8.
Wang, Fang, et al.. (2023). Ultrasound-assisted air-jet spinning of silk fibroin-soy protein nanofiber composite biomaterials. Ultrasonics Sonochemistry. 94. 106341–106341. 21 indexed citations
9.
O’Malley, Sean M., et al.. (2023). Reduced graphene oxide influences morphology and thermal properties of silk/cellulose biocomposites. International Journal of Biological Macromolecules. 236. 123971–123971. 2 indexed citations
10.
Wang, Fang, et al.. (2023). Biodegradable polymers: A promising solution for green energy devices. European Polymer Journal. 204. 112696–112696. 20 indexed citations
11.
Hu, Xiao, et al.. (2022). Controlling the structure and properties of semi-crystalline cellulose/silk-fibroin biocomposites by ionic liquid type and hydrogen peroxide concentration. Carbohydrate Polymer Technologies and Applications. 3. 100193–100193. 4 indexed citations
12.
Jao, Dave, Xiao Hu, & Vince Beachley. (2021). Bioinspired Silk Fiber Spinning System via Automated Track-Drawing. ACS Applied Bio Materials. 4(12). 8192–8204. 8 indexed citations
13.
Lamoureux, Guillaume, et al.. (2020). The Impact of Composition and Morphology on Ionic Conductivity of Silk/Cellulose Bio-Composites Fabricated from Ionic Liquid and Varying Percentages of Coagulation Agents. International Journal of Molecular Sciences. 21(13). 4695–4695. 24 indexed citations
14.
Xue, Ye, S. E. Lofland, & Xiao Hu. (2020). Comparative Study of Silk-Based Magnetic Materials: Effect of Magnetic Particle Types on the Protein Structure and Biomaterial Properties. International Journal of Molecular Sciences. 21(20). 7583–7583. 8 indexed citations
15.
Wu, Yuanpeng, Ye Xue, Si Qin, et al.. (2017). BN Nanosheet/Polymer Films with Highly Anisotropic Thermal Conductivity for Thermal Management Applications. ACS Applied Materials & Interfaces. 9(49). 43163–43170. 218 indexed citations
16.
Wang, Jiemin, Yuanpeng Wu, Ye Xue, et al.. (2017). Super-compatible functional boron nitride nanosheets/polymer films with excellent mechanical properties and ultra-high thermal conductivity for thermal management. Journal of Materials Chemistry C. 6(6). 1363–1369. 144 indexed citations
17.
Wang, Fang, et al.. (2017). Tunable green graphene-silk biomaterials: Mechanism of protein-based nanocomposites. Materials Science and Engineering C. 79. 728–739. 45 indexed citations
18.
Hu, Xiao, Waseem Raja, Bo An, et al.. (2013). Stability of Silk and Collagen Protein Materials in Space. Scientific Reports. 3(1). 3428–3428. 20 indexed citations
19.
Gil, Eun Seok, et al.. (2013). Impact of Sterilization on the Enzymatic Degradation and Mechanical Properties of Silk Biomaterials. Macromolecular Bioscience. 14(2). 257–269. 60 indexed citations
20.
Lü, Qiang, Xiaoqin Wang, Xiao Hu, et al.. (2010). Stabilization and Release of Enzymes from Silk Films. Macromolecular Bioscience. 10(4). 359–368. 117 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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