Bin Duan

10.6k total citations · 5 hit papers
151 papers, 8.2k citations indexed

About

Bin Duan is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Bin Duan has authored 151 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Biomedical Engineering, 52 papers in Biomaterials and 40 papers in Surgery. Recurrent topics in Bin Duan's work include Electrospun Nanofibers in Biomedical Applications (43 papers), 3D Printing in Biomedical Research (35 papers) and Tissue Engineering and Regenerative Medicine (26 papers). Bin Duan is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (43 papers), 3D Printing in Biomedical Research (35 papers) and Tissue Engineering and Regenerative Medicine (26 papers). Bin Duan collaborates with scholars based in United States, China and Hong Kong. Bin Duan's co-authors include Jonathan T. Butcher, Laura A. Hockaday, Mitchell Kuss, Shaohua Wu, Kevin H. Kang, Min Wang, Xiaoyan Yuan, Wen Shi, Kangde Yao and W.L. Cheung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Bin Duan

141 papers receiving 8.0k citations

Hit Papers

3D Bioprinting of heterog... 2012 2026 2016 2021 2012 2012 2022 2023 2023 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Bin Duan 4.8k 3.4k 1.8k 1.8k 854 151 8.2k
Ali Khademhosseini 5.6k 1.2× 1.5k 0.4× 1.5k 0.9× 1.2k 0.7× 1.0k 1.2× 94 8.1k
Wojciech Święszkowski 4.8k 1.0× 2.7k 0.8× 1.8k 1.0× 1.7k 1.0× 557 0.7× 263 8.3k
John P. Fisher 8.5k 1.8× 3.6k 1.1× 3.0k 1.7× 2.6k 1.4× 1.4k 1.7× 231 12.6k
Samad Ahadian 6.0k 1.3× 2.2k 0.6× 1.1k 0.6× 1.4k 0.8× 1.3k 1.5× 154 9.0k
David F. Williams 3.7k 0.8× 2.5k 0.7× 536 0.3× 2.1k 1.2× 808 0.9× 112 7.6k
Akhilesh K. Gaharwar 9.7k 2.0× 5.4k 1.6× 2.0k 1.1× 1.7k 0.9× 1.5k 1.8× 144 15.2k
Hojae Bae 8.8k 1.8× 4.5k 1.3× 1.9k 1.0× 2.1k 1.2× 1.8k 2.1× 136 12.5k
Xin Zhao 6.5k 1.4× 3.5k 1.1× 980 0.5× 1.9k 1.1× 1.5k 1.8× 196 11.6k
Gulden Camci‐Unal 4.0k 0.8× 2.4k 0.7× 570 0.3× 1.3k 0.7× 859 1.0× 90 6.1k
Yi Hong 3.7k 0.8× 3.9k 1.2× 579 0.3× 2.5k 1.4× 798 0.9× 169 9.3k

Countries citing papers authored by Bin Duan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Duan. A scholar is included among the top collaborators of Bin Duan 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 Bin Duan. Bin Duan 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.
Jiang, Lijuan, Bin Duan, Sen Lin, et al.. (2025). High-entropy chalcogenides via ambient and scalable synthesis for efficient OER catalysis. Nano Energy. 148. 111634–111634.
2.
Alimi, Olawale A., Bo Liu, Mitchell Kuss, et al.. (2025). Therapeutic Potential of BMX-001 for Preventing Chemotherapy-Induced Peripheral Neuropathic Pain. Pharmaceuticals. 18(8). 1159–1159.
3.
Liu, Bo, Olawale A. Alimi, Yanfei Wang, et al.. (2024). Differentiated mesenchymal stem cells-derived exosomes immobilized in decellularized sciatic nerve hydrogels for peripheral nerve repair. Journal of Controlled Release. 368. 24–41. 20 indexed citations
4.
Sadak, Omer, Mitchell Kuss, Wen Shi, Bin Duan, & Nicole M. Iverson. (2024). Development of a 3D Printed Liquid-Core Hydrogel Platform for Real-Time Carbon Nanotube Sensors: A Breakthrough in Minimally Invasive Health Monitoring. ECS Meeting Abstracts. MA2024-01(8). 855–855. 1 indexed citations
5.
Kak, Gunjan, Cortney E. Heim, Rachel W. Fallet, et al.. (2024). Single-cell profiling reveals a conserved role for hypoxia-inducible factor signaling during human craniotomy infection. Cell Reports Medicine. 5(11). 101790–101790. 6 indexed citations
6.
Hua, Weijian, Changwoo Do, Jihua Chen, et al.. (2024). Multiscale embedded printing of engineered human tissue and organ equivalents. Proceedings of the National Academy of Sciences. 121(9). e2313464121–e2313464121. 12 indexed citations
7.
Kak, Gunjan, Cortney E. Heim, Rachel W. Fallet, et al.. (2023). IL-10 production by granulocytes promotes Staphylococcus aureus craniotomy infection. Journal of Neuroinflammation. 20(1). 114–114. 15 indexed citations
8.
Kong, Yunfan, Wen Shi, Zheng Li, et al.. (2023). In situ delivery of a curcumin-loaded dynamic hydrogel for the treatment of chronic peripheral neuropathy. Journal of Controlled Release. 357. 319–332. 19 indexed citations
10.
Li, Yiran, Shaojuan Chen, Peixue Ling, et al.. (2023). Advances, challenges, and prospects for surgical suture materials. Acta Biomaterialia. 168. 78–112. 96 indexed citations breakdown →
11.
Shi, Wen, et al.. (2023). Epigenetic Regulation of Leukocyte Inflammatory Mediator Production Dictates Staphylococcus aureus Craniotomy Infection Outcome. The Journal of Immunology. 211(3). 414–428. 11 indexed citations
12.
Li, Nan, Xi Huang, Bin Duan, et al.. (2023). Gold-coated nanoripples produced by UV-Femtosecond lasers for surface enhanced Raman spectroscopy. Applied Surface Science. 636. 157794–157794. 10 indexed citations
13.
Ruíz, Samuel, Fei Wang, Yongfeng Lu, et al.. (2022). Antibacterial properties of silver nanoparticles synthesized via nanosecond pulsed laser ablation in water. Journal of Laser Applications. 34(1). 7 indexed citations
14.
Li, Yiran, Ting Dong, Zhiwei Li, et al.. (2022). Review of advances in electrospinning-based strategies for spinal cord regeneration. Materials Today Chemistry. 24. 100944–100944. 101 indexed citations
15.
Shi, Wen, Yunfan Kong, Yajuan Su, et al.. (2021). Tannic acid-inspired, self-healing, and dual stimuli responsive dynamic hydrogel with potent antibacterial and anti-oxidative properties. Journal of Materials Chemistry B. 9(35). 7182–7195. 116 indexed citations
17.
Aldrich, Amy L., Mitchell Kuss, Bin Duan, & Tammy Kielian. (2019). 3D Bioprinted Scaffolds Containing Viable Macrophages and Antibiotics Promote Clearance of Staphylococcus aureus Craniotomy-Associated Biofilm Infection. ACS Applied Materials & Interfaces. 11(13). 12298–12307. 53 indexed citations
18.
Wei, Liang, Shaohua Wu, Mitchell Kuss, et al.. (2019). 3D printing of silk fibroin-based hybrid scaffold treated with platelet rich plasma for bone tissue engineering. Bioactive Materials. 4. 256–260. 88 indexed citations
19.
Wu, Shaohua, Mitchell Kuss, Dianjun Qi, et al.. (2019). Development of Cryogel-Based Guidance Conduit for Peripheral Nerve Regeneration. ACS Applied Bio Materials. 2(11). 4864–4871. 23 indexed citations
20.
Duan, Bin, et al.. (2018). Influence of acceptance and commitment therapy on patients undergoing percutaneous radiofrequency ablation for thyroid cancer. Journal of Nursing Science. 33(16). 77–80. 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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