Gefei Chen

1.6k total citations
58 papers, 1.3k citations indexed

About

Gefei Chen is a scholar working on Molecular Biology, Biomaterials and Physiology. According to data from OpenAlex, Gefei Chen has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 19 papers in Biomaterials and 18 papers in Physiology. Recurrent topics in Gefei Chen's work include Silk-based biomaterials and applications (18 papers), Alzheimer's disease research and treatments (17 papers) and Protein Structure and Dynamics (14 papers). Gefei Chen is often cited by papers focused on Silk-based biomaterials and applications (18 papers), Alzheimer's disease research and treatments (17 papers) and Protein Structure and Dynamics (14 papers). Gefei Chen collaborates with scholars based in Sweden, China and Latvia. Gefei Chen's co-authors include Jan Johansson, Anna Rising, Michael Landreh, Qing Meng, Nina Kronqvist, André Fisahn, Kristaps Jaudzems, Yuniesky Andrade‐Talavera, Axel Abelein and Kerstin Nordling and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gefei Chen

57 papers receiving 1.2k citations

Peers

Gefei Chen

BIOMA

PHYSI

CMN

MICRO

Xiangyang Xie China

Vladimír Pekařík Czechia

Joël Eyer France

Lin Teng China

Masashi Kusubata Japan

Matthew J. Stebbins United States

Luísa Cortes Portugal

Kee K. Kim South Korea

Francesco Di Blasi Italy

Ai Fang China

Xiangyang Xie China

Gefei Chen

775 ×1.0

310 ×0.5

BIOMA

188 ×0.7

PHYSI

224 ×0.9

CMN

27 ×0.2

MICRO

Citations per year, relative to Gefei Chen Gefei Chen (= 1×) peers Xiangyang Xie

Countries citing papers authored by Gefei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Gefei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gefei Chen

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

Leppert, Axel, Rakesh Kumar, Lotte B. Nielsen, et al.. (2025). Helicobacter pylori CagA protein is a potent and broad-spectrum amyloid inhibitor. Science Advances. 11(24). eads7525–eads7525.

Ohshima, Makiko, David Brodin, Yu Wang, et al.. (2024). Intravenous chaperone treatment of late-stage Alzheimer´s disease (AD) mouse model affects amyloid plaque load, reactive gliosis and AD-related genes. Translational Psychiatry. 14(1). 453–453. 3 indexed citations

Li, Yanan, et al.. (2024). Robust Systemic and Mucosal Immune Responses to Coxsackievirus B3 Elicited by Spider Silk Protein Based Nanovaccines via Subcutaneous Immunization. Advanced Functional Materials. 35(15). 1 indexed citations

Chen, Gefei, et al.. (2024). Small Molecule Decoy of Amyloid-β Aggregation Blocks Activation of Microglia-Like Cells. Journal of Alzheimer s Disease. 101(3). 787–796. 2 indexed citations

Das, Bhanuranjan, Anurag T. K. Baidya, Taher Darreh‐Shori, et al.. (2024). Synthesis and biological evaluation of Halogen-Substituted novel α-Ketoamides as potential protein aggregation modulators in Alzheimer’s disease. Bioorganic Chemistry. 147. 107373–107373. 6 indexed citations

Leppert, Axel, et al.. (2023). A new kid in the folding funnel: Molecular chaperone activities of the BRICHOS domain. Protein Science. 32(6). e4645–e4645. 18 indexed citations

Wang, Yu, Hairui Yu, Ruifang Liu, et al.. (2023). Spider Silk Protein Forms Amyloid‐Like Nanofibrils through a Non‐Nucleation‐Dependent Polymerization Mechanism. Small. 19(46). e2304031–e2304031. 13 indexed citations

Chen, Gefei, Axel Leppert, Harriet E. Nilsson, et al.. (2023). Short hydrophobic loop motifs in BRICHOS domains determine chaperone activity against amorphous protein aggregation but not against amyloid formation. Communications Biology. 6(1). 497–497. 6 indexed citations

Leppert, Axel, Cagla Sahin, Dilraj Lama, et al.. (2023). A “grappling hook” interaction connects self-assembly and chaperone activity of Nucleophosmin 1. PNAS Nexus. 2(2). pgac303–pgac303. 10 indexed citations

10.

Balleza‐Tapia, Hugo, Fengna Chu, Gefei Chen, et al.. (2023). Low dose of levetiracetam counteracts amyloid β-induced alterations of hippocampal gamma oscillations by restoring fast-spiking interneuron activity. Experimental Neurology. 369. 114545–114545. 4 indexed citations

11.

Andrade‐Talavera, Yuniesky, Gefei Chen, Jonathan Pansieri, et al.. (2022). S100A9 amyloid growth and S100A9 fibril-induced impairment of gamma oscillations in area CA3 of mouse hippocampus ex vivo is prevented by Bri2 BRICHOS. Progress in Neurobiology. 219. 102366–102366. 7 indexed citations

12.

Arndt, Tina, Kristaps Jaudzems, Olga Shilkova, et al.. (2022). Spidroin N-terminal domain forms amyloid-like fibril based hydrogels and provides a protein immobilization platform. Nature Communications. 13(1). 4695–4695. 27 indexed citations

13.

Svensson, Julia, et al.. (2022). Molecular Chaperone BRICHOS Inhibits CADASIL-Mutated NOTCH3 Aggregation In Vitro. Frontiers in Molecular Biosciences. 9. 812808–812808. 8 indexed citations

14.

Rising, Anna, Gefei Chen, Jan Johansson, et al.. (2021). AA amyloid in human food chain is a possible biohazard. Scientific Reports. 11(1). 21069–21069. 11 indexed citations

15.

Zhao, Qin‐Hua, Su‐Gang Gong, Rong Jiang, et al.. (2021). Echocardiographic Prognosis Relevance of Attenuated Right Heart Remodeling in Idiopathic Pulmonary Arterial Hypertension. Frontiers in Cardiovascular Medicine. 8. 650848–650848. 5 indexed citations

16.

Andrade‐Talavera, Yuniesky, Luis Enrique Arroyo‐García, Gefei Chen, Jan Johansson, & André Fisahn. (2020). Modulation of Kv3.1/Kv3.2 promotes gamma oscillations by rescuing Aβ‐induced desynchronization of fast‐spiking interneuron firing in an AD mouse model in vitro. The Journal of Physiology. 598(17). 3711–3725. 33 indexed citations

17.

Tambaro, Simone, Axel Leppert, Gefei Chen, et al.. (2019). Blood–brain and blood–cerebrospinal fluid passage of BRICHOS domains from two molecular chaperones in mice. Journal of Biological Chemistry. 294(8). 2606–5220. 16 indexed citations

18.

Balleza‐Tapia, Hugo, Sophie Crux, Yuniesky Andrade‐Talavera, et al.. (2018). TrpV1 receptor activation rescues neuronal function and network gamma oscillations from Aβ-induced impairment in mouse hippocampus in vitro. eLife. 7. 63 indexed citations

19.

Kronqvist, Nina, Mārtiņš Otikovs, Gefei Chen, et al.. (2014). Sequential pH-driven dimerization and stabilization of the N-terminal domain enables rapid spider silk formation. Nature Communications. 5(1). 3254–3254. 146 indexed citations

20.

Andersson, Marlene, Gefei Chen, Mārtiņš Otikovs, et al.. (2014). Carbonic Anhydrase Generates CO2 and H+ That Drive Spider Silk Formation Via Opposite Effects on the Terminal Domains. PLoS Biology. 12(8). e1001921–e1001921. 168 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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