Peiwen Fu

454 total citations
13 papers, 343 citations indexed

About

Peiwen Fu is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Peiwen Fu has authored 13 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 2 papers in Cancer Research. Recurrent topics in Peiwen Fu's work include Extracellular vesicles in disease (4 papers), Muscle activation and electromyography studies (3 papers) and RNA Interference and Gene Delivery (2 papers). Peiwen Fu is often cited by papers focused on Extracellular vesicles in disease (4 papers), Muscle activation and electromyography studies (3 papers) and RNA Interference and Gene Delivery (2 papers). Peiwen Fu collaborates with scholars based in China and United States. Peiwen Fu's co-authors include Wenrong Xu, Zhimin Tao, Michael Mak, Jianguo Zhang, Haitao Li, Hui Qian, Chongwen Wang, Shengqi Wang, Peipei Wu and Li Jia and has published in prestigious journals such as Nano Letters, ACS Nano and Advanced Drug Delivery Reviews.

In The Last Decade

Peiwen Fu

13 papers receiving 338 citations

Peers

Peiwen Fu

MB

BE

CR

MC

ID

Benedetta Santini Italy

Adeel Khan China

Aaron J. Sorrin United States

Collin T. Inglut United States

Rachel R. Mizenko United States

Carolina Paganini Switzerland

Yunpeng Wang China

Beiping Miao China

Bijun Zeng Australia

Guohong Lin China

Benedetta Santini Italy

Peiwen Fu

253 ×1.3

MB

119 ×0.9

BE

98 ×1.4

CR

62 ×1.5

MC

34 ×1.0

ID

Citations per year, relative to Peiwen Fu Peiwen Fu (= 1×) peers Benedetta Santini

Countries citing papers authored by Peiwen Fu

Since Specialization

Citations

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

Fields of papers citing papers by Peiwen Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiwen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Peiwen Fu. A scholar is included among the top collaborators of Peiwen 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 Peiwen Fu. Peiwen Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Fu, Peiwen, et al.. (2025). Identification of CD4_Naive cells related gene FMO4 as a positive regulator of the poor prognosis of septic CRC patients. Cancer Cell International. 25(1). 285–285. 1 indexed citations

2.

Zhou, Juan, Mu Xu, Peiwen Fu, et al.. (2025). Multidimensional Investigations of Single Molecule Unfolding of Bovine Serum Albumin Using Plasmonic Nanopores. Nano Letters. 25(15). 6325–6331. 2 indexed citations

3.

Fu, Peiwen, et al.. (2024). Predicting Continuous Locomotion Modes via Multidimensional Feature Learning From sEMG. IEEE Journal of Biomedical and Health Informatics. 28(11). 6629–6640. 6 indexed citations

4.

Li, Jie, Yuli Chen, Peiwen Fu, et al.. (2024). Molybdenum Disulfide-Supported Cuprous Oxide Nanocomposite for Near-Infrared-I Light-Responsive Synergistic Antibacterial Therapy. ACS Nano. 18(25). 16184–16198. 36 indexed citations

5.

Yin, Siqi, Zixuan Zhou, Peiwen Fu, et al.. (2023). Roles of extracellular vesicles in ageing-related chronic kidney disease: Demon or angel. Pharmacological Research. 193. 106795–106795. 12 indexed citations

6.

Fu, Peiwen, Michael Mak, Jianguo Zhang, et al.. (2023). Visualization of microRNA therapy in cancers delivered by small extracellular vesicles. Journal of Nanobiotechnology. 21(1). 457–457. 17 indexed citations

7.

Fu, Peiwen, Siqi Yin, Huiying Cheng, Wenrong Xu, & Jiajia Jiang. (2023). Engineered Exosomes for Drug Delivery in Cancer Therapy: A PromisingApproach and Application. Current Drug Delivery. 21(6). 817–827. 13 indexed citations

8.

Fu, Peiwen, et al.. (2023). A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography. 1–6. 6 indexed citations

9.

Fu, Peiwen, et al.. (2022). Human-Exoskeleton Misalignment Reduction on Knee Joint via an RPR Mechanism-Based Device. 1 indexed citations

10.

Fu, Peiwen, Jianguo Zhang, Haitao Li, et al.. (2021). Extracellular vesicles as delivery systems at nano-/micro-scale. Advanced Drug Delivery Reviews. 179. 113910–113910. 92 indexed citations

11.

Wu, Peipei, Bin Zhang, Xinye Han, et al.. (2021). HucMSC exosome-delivered 14-3-3ζ alleviates ultraviolet radiation-induced photodamage via SIRT1 pathway modulation. Aging. 13(8). 11542–11563. 65 indexed citations

12.

Zhang, Jianguo, Xing Huang, Jinhui Zhang, et al.. (2020). Differentiation of COVID‐19 from seasonal influenza: A multicenter comparative study. Journal of Medical Virology. 93(3). 1512–1519. 30 indexed citations

13.

Jia, Li, Chongwen Wang, Peiwen Fu, et al.. (2019). Rapid identification and antibiotic susceptibility test of pathogens in blood based on magnetic separation and surface-enhanced Raman scattering. Microchimica Acta. 186(7). 475–475. 62 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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