Feng Qiu

3.8k total citations
64 papers, 3.1k citations indexed

About

Feng Qiu is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Feng Qiu has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 24 papers in Biomaterials and 10 papers in Organic Chemistry. Recurrent topics in Feng Qiu's work include Supramolecular Self-Assembly in Materials (20 papers), Connexins and lens biology (14 papers) and Chemical Synthesis and Analysis (10 papers). Feng Qiu is often cited by papers focused on Supramolecular Self-Assembly in Materials (20 papers), Connexins and lens biology (14 papers) and Chemical Synthesis and Analysis (10 papers). Feng Qiu collaborates with scholars based in China, United States and Russia. Feng Qiu's co-authors include Gerhard Dahl, Eliana Scemes, David C. Spray, Silviu Locovei, Gina E. Sosinsky, Yongzhu Chen, Daniela Boassa, Rodolfo Iglesias, William R. Silverman and Juan Pablo de Rivero Vaccari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Feng Qiu

59 papers receiving 3.1k citations

Peers

Feng Qiu

EAS

PHYSI

CMN

Dariusz C. Górecki United Kingdom

Luca Munaron Italy

Andrea Townsend‐Nicholson United Kingdom

Ludovic Galas France

Jun Gao China

Patrizia Ballerini Italy

So Yeong Lee South Korea

Stefano Ferroni Italy

Michel P. Rathbone Canada

Sandra E. Guggino United States

Dariusz C. Górecki United Kingdom

Feng Qiu

2.4k ×1.1

210 ×0.3

EAS

692 ×1.4

PHYSI

822 ×1.7

PHYSI

683 ×1.7

CMN

Citations per year, relative to Feng Qiu Feng Qiu (= 1×) peers Dariusz C. Górecki

Countries citing papers authored by Feng Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Feng Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Qiu

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

Yan, Chao, Xiang Zhu, Yingying Ren, et al.. (2025). Protein-based nano delivery systems focusing on protein materials, fabrication strategies and applications in ischemic stroke intervention: A review. International Journal of Biological Macromolecules. 311(Pt 1). 143645–143645.

Li, Yun, et al.. (2025). Temporary spinal cord stimulation combined with lidocaine patch for postherpetic neuralgia in the elderly: a controlled study. Frontiers in Neurology. 16. 1529673–1529673. 2 indexed citations

Wu, Weiwei, Yan Wang, Feng Qiu, et al.. (2025). A carrier-free long-acting ropivacaine formulation using methylprednisolone sodium succinate as a dual-functional adjuvant. Theranostics. 15(9). 3862–3876.

Qiu, Tianyi, Zhaojun Meng, Lin Zhao, et al.. (2023). Characterization of the metabolites of Eucommiae Cortex in rats provides a further insight into its estrogen-like effective substances. Bioorganic Chemistry. 143. 107052–107052. 1 indexed citations

Peng, Fei, Jing Liu, Junjie Chen, et al.. (2023). Nanocrystals Slow-Releasing Ropivacaine and Doxorubicin to Synergistically Suppress Tumor Recurrence and Relieve Postoperative Pain. ACS Nano. 17(20). 20135–20152. 16 indexed citations

Peng, Fei, Jing Liu, Yujun Zhang, et al.. (2022). Designer self-assembling peptide nanofibers induce biomineralization of lidocaine for slow-release and prolonged analgesia. Acta Biomaterialia. 146. 66–79. 19 indexed citations

Peng, Fei, Jing Liu, Yujun Zhang, et al.. (2022). Interaction Between Ropivacaine and a Self-Assembling Peptide: A Nanoformulation for Long-Acting Analgesia. International Journal of Nanomedicine. Volume 17. 3371–3384. 9 indexed citations

Xing, Zhihua, Yongzhu Chen, & Feng Qiu. (2021). Alternative Causal Link between Peptide Fibrillization and β-Strand Conformation. ACS Omega. 6(19). 12904–12912. 2 indexed citations

Liu, Jing, Fei Peng, Yi Kang, et al.. (2021). High-Loading Self-Assembling Peptide Nanoparticles as a Lipid-Free Carrier for Hydrophobic General Anesthetics. International Journal of Nanomedicine. Volume 16. 5317–5331. 19 indexed citations

10.

Chen, Yongzhu, Feng Qiu, Chengkang Tang, Zhihua Xing, & Xiao‐Jun Zhao. (2021). Controllable self-patterning behaviours of flexible self-assembling peptide nanofibers. Nanoscale Advances. 3(6). 1603–1611. 4 indexed citations

11.

Chen, Yongzhu, et al.. (2020). Direct Identification of Amyloid Peptide Fragments in Human α-Synuclein Based on Consecutive Hydrophobic Amino Acids. ACS Omega. 5(20). 11677–11686. 5 indexed citations

12.

Peng, Fei, Wensheng Zhang, & Feng Qiu. (2019). Self-assembling Peptides in Current Nanomedicine: Versatile Nanomaterials for Drug Delivery. Current Medicinal Chemistry. 27(29). 4855–4881. 21 indexed citations

13.

Chen, Yongzhu, Wensheng Zhang, Chengkang Tang, et al.. (2018). Amyloid-like staining property of RADA16-I nanofibers and its potential application in detecting and imaging the nanomaterial. International Journal of Nanomedicine. Volume 13. 2477–2489. 18 indexed citations

14.

Qiu, Feng, Yongzhu Chen, Chengkang Tang, & Xiao‐Jun Zhao. (2018). Amphiphilic peptides as novel nanomaterials: design, self-assembly and application. International Journal of Nanomedicine. Volume 13. 5003–5022. 85 indexed citations

15.

Chen, Yongzhu, Zhihua Xing, Daqing Liao, & Feng Qiu. (2018). Neglected Hydrophobicity of Dimethanediyl Group in Peptide Self-Assembly: A Hint from Amyloid-like Peptide GNNQQNY and Its Derivatives. The Journal of Physical Chemistry B. 122(46). 10470–10477. 12 indexed citations

16.

Qiu, Feng, Chengkang Tang, & Yongzhu Chen. (2017). Amyloid‐like aggregation of designer bolaamphiphilic peptides: Effect of hydrophobic section and hydrophilic heads. Journal of Peptide Science. 24(2). 11 indexed citations

17.

Tang, Chengkang, Feng Qiu, & Xiao‐Jun Zhao. (2013). Molecular Design and Applications of Self‐Assembling Surfactant‐Like Peptides. Journal of Nanomaterials. 2013(1). 29 indexed citations

18.

Dahl, Gerhard, Feng Qiu, & Junjie Wang. (2013). The bizarre pharmacology of the ATP release channel pannexin1. Neuropharmacology. 75. 583–593. 100 indexed citations

19.

Qiu, Feng, Yongzhu Chen, & Xiao‐Jun Zhao. (2009). Comparative studies on the self-assembling behaviors of cationic and catanionic surfactant-like peptides. Journal of Colloid and Interface Science. 336(2). 477–484. 38 indexed citations

20.

Silverman, William R., Juan Pablo de Rivero Vaccari, Silviu Locovei, et al.. (2009). The Pannexin 1 Channel Activates the Inflammasome in Neurons and Astrocytes. Journal of Biological Chemistry. 284(27). 18143–18151. 459 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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