Rita P.‐Y. Chen

1.5k total citations
55 papers, 1.2k citations indexed

About

Rita P.‐Y. Chen is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Rita P.‐Y. Chen has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Physiology and 7 papers in Nutrition and Dietetics. Recurrent topics in Rita P.‐Y. Chen's work include Alzheimer's disease research and treatments (17 papers), Prion Diseases and Protein Misfolding (14 papers) and Protein Structure and Dynamics (8 papers). Rita P.‐Y. Chen is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Prion Diseases and Protein Misfolding (14 papers) and Protein Structure and Dynamics (8 papers). Rita P.‐Y. Chen collaborates with scholars based in Taiwan, United States and United Kingdom. Rita P.‐Y. Chen's co-authors include Yen-Li Li, Hsin‐Liang Chen, Nei‐Li Chan, Kung‐Ta Lee, Pang‐Hsien Tu, Joseph Jen‐Tse Huang, Philip A. Evans, Wei‐Bor Tsai, Kuei‐Ho Chen and Juin‐Yih Lai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Rita P.‐Y. Chen

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita P.‐Y. Chen Taiwan 21 797 299 133 106 104 55 1.2k
Gaetano Malgieri Italy 24 823 1.0× 140 0.5× 167 1.3× 62 0.6× 94 0.9× 72 1.5k
Kevin Hartman United States 16 802 1.0× 646 2.2× 101 0.8× 85 0.8× 132 1.3× 28 1.4k
Søren B. Nielsen Denmark 22 692 0.9× 515 1.7× 67 0.5× 374 3.5× 131 1.3× 51 1.4k
Irantzu Pallarès Spain 19 972 1.2× 357 1.2× 128 1.0× 109 1.0× 39 0.4× 44 1.4k
Hanna Appelqvist Sweden 15 771 1.0× 364 1.2× 204 1.5× 65 0.6× 82 0.8× 22 1.7k
Elżbieta Jankowska Poland 21 894 1.1× 435 1.5× 132 1.0× 94 0.9× 54 0.5× 60 1.4k
Maria Andreasen Denmark 18 583 0.7× 493 1.6× 60 0.5× 223 2.1× 184 1.8× 33 1.1k
Éva Bulyáki Hungary 6 637 0.8× 157 0.5× 114 0.9× 24 0.2× 90 0.9× 8 1.1k
Laura Zaccaro Italy 25 792 1.0× 125 0.4× 121 0.9× 25 0.2× 137 1.3× 64 1.4k
Vladimir A. Mitkevich Russia 27 1.5k 1.9× 531 1.8× 164 1.2× 23 0.2× 82 0.8× 190 2.2k

Countries citing papers authored by Rita P.‐Y. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Rita P.‐Y. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita P.‐Y. 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 Rita P.‐Y. Chen. The network helps show where Rita P.‐Y. Chen may publish in the future.

Co-authorship network of co-authors of Rita P.‐Y. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Rita P.‐Y. Chen. A scholar is included among the top collaborators of Rita P.‐Y. 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 Rita P.‐Y. Chen. Rita P.‐Y. Chen 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.
Chen, Hsin‐Liang, Yi‐An Chen, Meng‐Ru Ho, et al.. (2025). Phosphorylation-Induced Self-Coacervation versus RNA-Assisted Complex Coacervation of Tau Proteins. Journal of the American Chemical Society. 147(12). 10172–10187. 7 indexed citations
2.
Chen, Hsin‐Liang, et al.. (2023). Cholesterol twists the transmembrane Di-Gly region of amyloid-precursor protein. PNAS Nexus. 2(5). pgad162–pgad162. 1 indexed citations
3.
Chen, Hsin‐Liang, Chun-Hsiung Wang, Yi‐Ting Liao, et al.. (2023). Visualizing the membrane disruption action of antimicrobial peptides by cryo-electron tomography. Nature Communications. 14(1). 5464–5464. 57 indexed citations
4.
Chen, Hsin‐Liang, et al.. (2022). Location of the cross‐β structure in prion fibrils: A search by seeding and electron spin resonance spectroscopy. Protein Science. 31(6). e4326–e4326. 3 indexed citations
5.
Chen, Hsin‐Liang, et al.. (2022). 2.2 Å Cryo-EM Tetra-Protofilament Structure of the Hamster Prion 108–144 Fibril Reveals an Ordered Water Channel in the Center. Journal of the American Chemical Society. 144(30). 13888–13894. 12 indexed citations
6.
Chen, Hsin‐Liang, et al.. (2022). Biodistribution analysis of an intranasal-delivered peptide by the nanoSPECT/CT imaging. Journal of Drug Delivery Science and Technology. 73. 103454–103454. 2 indexed citations
7.
Matiadis, Dimitris, et al.. (2021). Synthesis and Biological Evaluation of Hydroxylated Monocarbonyl Curcumin Derivatives as Potential Inducers of Neprilysin Activity. Biomedicines. 9(8). 955–955. 8 indexed citations
8.
Chen, Hsin‐Liang, Jason C. Sang, Meng‐Ru Ho, et al.. (2021). Condition‐dependent structural collapse in the intrinsically disordered N‐terminal domain of prion protein. IUBMB Life. 74(8). 780–793. 2 indexed citations
9.
Chen, Hsin‐Liang, et al.. (2021). De Novo Design of Antimicrobial Peptides With a Special Charge Pattern and Their Application in Combating Plant Pathogens. Frontiers in Plant Science. 12. 753217–753217. 13 indexed citations
10.
Šneideris, Tomas, et al.. (2020). Self-Replication of Prion Protein Fragment 89-230 Amyloid Fibrils Accelerated by Prion Protein Fragment 107-143 Aggregates. International Journal of Molecular Sciences. 21(19). 7410–7410. 4 indexed citations
11.
Lin, Yu‐Sheng, et al.. (2019). Segments in the Amyloid Core that Distinguish Hamster from Mouse Prion Fibrils. Neurochemical Research. 44(6). 1399–1409. 3 indexed citations
12.
Lin, Chen, et al.. (2017). An intranasally delivered peptide drug ameliorates cognitive decline in Alzheimer transgenic mice. EMBO Molecular Medicine. 9(5). 703–715. 52 indexed citations
13.
Her, Guor Mour, Yun‐Wen Chen, Pei‐Yi Wu, et al.. (2017). ErbB2 regulates autophagic flux to modulate the proteostasis of APP-CTFs in Alzheimer’s disease. Proceedings of the National Academy of Sciences. 114(15). E3129–E3138. 66 indexed citations
14.
Chen, Hsin‐Liang, et al.. (2017). Directly monitor protein rearrangement on a nanosecond-to-millisecond time-scale. Scientific Reports. 7(1). 8691–8691. 10 indexed citations
15.
16.
Yuan, Rey-Yue, et al.. (2016). Epicatechin isolated from Tripterygium wilfordii extract reduces tau-GFP-induced neurotoxicity in zebrafish embryo through the activation of Nrf2. Biochemical and Biophysical Research Communications. 477(2). 283–289. 12 indexed citations
17.
Lin, Chen, Hsin‐Liang Chen, Yen-Li Li, et al.. (2014). Comparison of the anti-amyloidogenic effect of O-mannosylation, O-galactosylation, and O-GalNAc glycosylation. Carbohydrate Research. 387. 46–53. 12 indexed citations
18.
19.
Chen, Rita P.‐Y., et al.. (2001). The role of a β‐bulge in the folding of the β‐hairpin structure in ubiquitin. Protein Science. 10(10). 2063–2074. 24 indexed citations
20.
Williams, Dudley H., et al.. (2000). Structural characterization of a mutant peptide derived from ubiquitin: Implications for protein folding. Protein Science. 9(11). 2142–2150. 46 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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