Baian Chen

635 total citations
27 papers, 493 citations indexed

About

Baian Chen is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Baian Chen has authored 27 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 11 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Baian Chen's work include Alzheimer's disease research and treatments (14 papers), Prion Diseases and Protein Misfolding (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Baian Chen is often cited by papers focused on Alzheimer's disease research and treatments (14 papers), Prion Diseases and Protein Misfolding (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Baian Chen collaborates with scholars based in China, United States and Chile. Baian Chen's co-authors include Rodrigo Morales, Claudio Soto, Marcelo A. Barria, Wen Xie, Jing Lü, Jiong Yan, Jing Lü, Mengchao Cui, Quan Sun and Yuying Li and has published in prestigious journals such as Nature Communications, Nature Methods and Scientific Reports.

In The Last Decade

Baian Chen

24 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baian Chen China 15 260 166 96 52 43 27 493
Xuemei Feng China 15 342 1.3× 142 0.9× 55 0.6× 20 0.4× 17 0.4× 30 597
Bjoern Bauer United States 10 181 0.7× 142 0.9× 145 1.5× 50 1.0× 17 0.4× 16 532
Ngoc On Canada 12 338 1.3× 114 0.7× 136 1.4× 65 1.3× 9 0.2× 16 604
Chihiro Tamaki Japan 7 133 0.5× 179 1.1× 36 0.4× 32 0.6× 15 0.3× 8 391
Peter F. Kador United States 16 384 1.5× 127 0.8× 49 0.5× 33 0.6× 9 0.2× 33 791
Salah Yousif France 8 183 0.7× 74 0.4× 244 2.5× 65 1.3× 86 2.0× 15 760
Sharon Lim United States 12 316 1.2× 193 1.2× 110 1.1× 40 0.8× 15 0.3× 16 618
Urszula Wasik Poland 11 308 1.2× 214 1.3× 43 0.4× 20 0.4× 16 0.4× 15 671
Manli Zhong China 13 220 0.8× 211 1.3× 73 0.8× 146 2.8× 6 0.1× 31 608
Jemma Gatliff United Kingdom 9 426 1.6× 116 0.7× 64 0.7× 16 0.3× 12 0.3× 10 617

Countries citing papers authored by Baian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Baian Chen. A scholar is included among the top collaborators of Baian 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 Baian Chen. Baian 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.
Du, Miaomiao, Xinyuan Wang, Yifei Liu, et al.. (2025). Age‐Related Complement C3 Drives Memory Impairments and Associated Neuropathologies in a Mouse Model. Aging Cell. 24(9). e70145–e70145.
2.
Jiang, Meihui, Baian Chen, Hongyu Zhu, et al.. (2025). Two-layer decomposition-fused hybrid deep learning enables data-driven electricity demand forecasting for battery swapping station. Energy. 332. 137288–137288. 1 indexed citations
3.
Liu, Tianqing, Wenting Guo, Xiaojun Zhang, et al.. (2024). Synthesis and preclinical evaluation of diarylamine derivative as Tau-PET radiotracer for Alzheimer's Disease. European Journal of Medicinal Chemistry. 281. 117046–117046.
4.
Dai, Lu, Xiao‐Xu Wang, Meng Li, et al.. (2024). Ameliorative effect and underlying mechanism of the Xiaxue Kaiqiao formula on age-related dementia in Samp8 mice. Phytomedicine. 135. 155801–155801. 1 indexed citations
5.
Li, Yuying, Kaixiang Zhou, Xiaojun Zhang, et al.. (2023). Fluorine-18-Labeled Diaryl-azines as Improved β-Amyloid Imaging Tracers: From Bench to First-in-Human Studies. Journal of Medicinal Chemistry. 66(7). 4603–4616. 18 indexed citations
6.
7.
Jia, Jianping, Tingting Li, Jianwei Yang, et al.. (2022). Detection of plasma Aβ seeding activity by a newly developed analyzer for diagnosis of Alzheimer’s disease. Alzheimer s Research & Therapy. 14(1). 21–21. 4 indexed citations
8.
Chen, Yimin, Yuying Li, Qi Zeng, et al.. (2021). Evaluation of N, O-Benzamide difluoroboron derivatives as near-infrared fluorescent probes to detect β-amyloid and tau tangles. European Journal of Medicinal Chemistry. 227. 113968–113968. 25 indexed citations
9.
Wu, Yi, Jing Zhang, Boya Peng, et al.. (2019). Generating viable mice with heritable embryonically lethal mutations using the CRISPR-Cas9 system in two-cell embryos. Nature Communications. 10(1). 2883–2883. 26 indexed citations
10.
Morales, Rodrigo, Ping Ping Hu, Claudia Duran‐Aniotz, et al.. (2016). Strain-dependent profile of misfolded prion protein aggregates. Scientific Reports. 6(1). 20526–20526. 32 indexed citations
11.
Zhao, Qiao, et al.. (2016). Upregulation of Aβ42 in the Brain and Bodily Fluids of Rhesus Monkeys with Aging. Journal of Molecular Neuroscience. 61(1). 79–87. 17 indexed citations
12.
Li, Meng, et al.. (2016). Chronic restraint stress reduces carbon tetrachloride-induced liver fibrosis. Experimental and Therapeutic Medicine. 11(6). 2147–2152. 8 indexed citations
13.
Yu, Pingrong, Yanping Yang, Cheng Peng, et al.. (2016). 99mTc-Labeled 2-Arylbenzothiazoles: Aβ Imaging Probes with Favorable Brain Pharmacokinetics for Single-Photon Emission Computed Tomography. Bioconjugate Chemistry. 27(10). 2493–2504. 25 indexed citations
14.
Li, Yingying, Haihong Hu, Baian Chen, et al.. (2015). Evodia alkaloids suppress gluconeogenesis and lipogenesis by activating the constitutive androstane receptor. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(9). 1100–1111. 29 indexed citations
15.
Tu, Jian Cheng, Baian Chen, Lifeng Yang, et al.. (2015). Amyloid-β Activates Microglia and Regulates Protein Expression in a Manner Similar to Prions. Journal of Molecular Neuroscience. 56(2). 509–518. 19 indexed citations
16.
Yan, Jiong, et al.. (2014). Deciphering the roles of the constitutive androstane receptor in energy metabolism. Acta Pharmacologica Sinica. 36(1). 62–70. 51 indexed citations
17.
Jiao, Kun, et al.. (2014). Vitamin K1 attenuates bile duct ligation-induced liver fibrosis in rats. Scandinavian Journal of Gastroenterology. 49(6). 715–721. 6 indexed citations
18.
Lü, Jing, Baian Chen, Shengli Li, & Quan Sun. (2014). Tryptase inhibitor APC 366 prevents hepatic fibrosis by inhibiting collagen synthesis induced by tryptase/protease-activated receptor 2 interactions in hepatic stellate cells. International Immunopharmacology. 20(2). 352–357. 22 indexed citations
19.
Chen, Baian, Claudio Soto, & Rodrigo Morales. (2014). Peripherally administrated prions reach the brain at sub‐infectious quantities in experimental hamsters. FEBS Letters. 588(5). 795–800. 16 indexed citations
20.
Chen, Baian, Rodrigo Morales, Marcelo A. Barria, & Claudio Soto. (2010). Estimating prion concentration in fluids and tissues by quantitative PMCA. Nature Methods. 7(7). 519–520. 87 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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