Yun‐Hsiang Chen

1.0k total citations
35 papers, 816 citations indexed

About

Yun‐Hsiang Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Yun‐Hsiang Chen has authored 35 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Immunology. Recurrent topics in Yun‐Hsiang Chen's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Yun‐Hsiang Chen is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Yun‐Hsiang Chen collaborates with scholars based in Taiwan, United States and United Kingdom. Yun‐Hsiang Chen's co-authors include Chia‐Hsiang Chen, Richard E. Randall, Gang Zhang, Louise Hilton, Stephen Goodbourn, John W. McCauley, Ning‐Sun Yang, Wen‐Chin Yang, Huiming Chen and Chih-Chun Wen and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Yun‐Hsiang Chen

35 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun‐Hsiang Chen Taiwan 13 285 282 148 145 118 35 816
Nigel Horscroft United States 16 306 1.1× 320 1.1× 334 2.3× 239 1.6× 82 0.7× 23 1.0k
Priya S. Shah United States 18 167 0.6× 652 2.3× 122 0.8× 278 1.9× 169 1.4× 51 1.3k
Andrew J. Phipps United States 16 411 1.4× 307 1.1× 115 0.8× 72 0.5× 122 1.0× 46 1.2k
Jinliang Wang China 17 112 0.4× 251 0.9× 337 2.3× 361 2.5× 113 1.0× 54 941
Simon Langer Germany 19 206 0.7× 298 1.1× 109 0.7× 173 1.2× 207 1.8× 35 1.4k
Wenqin Xu United States 18 218 0.8× 309 1.1× 88 0.6× 36 0.2× 46 0.4× 47 847
Ana B. Sánchez United States 20 154 0.5× 228 0.8× 252 1.7× 437 3.0× 275 2.3× 35 1.2k
Arlette Bernard France 14 123 0.4× 137 0.5× 294 2.0× 205 1.4× 30 0.3× 20 640
Yoshiko Nagaoka United States 13 184 0.6× 232 0.8× 61 0.4× 23 0.2× 74 0.6× 25 622
Rekha Dhanwani United States 16 261 0.9× 210 0.7× 149 1.0× 333 2.3× 51 0.4× 21 978

Countries citing papers authored by Yun‐Hsiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Hsiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun‐Hsiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Hsiang Chen. A scholar is included among the top collaborators of Yun‐Hsiang 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 Yun‐Hsiang Chen. Yun‐Hsiang 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, Yun‐Hsiang, et al.. (2025). Functional Expression of NMDA Receptors in SH-SY5Y Neuroblastoma Cells Following Long-Term RA/BDNF-Induced Differentiation. NeuroSci. 6(2). 47–47. 1 indexed citations
2.
Chen, Yun‐Hsiang, et al.. (2025). AAV‐Mediated Expression of Methamphetamine Monoclonal Antibody Attenuates Methamphetamine Behaviour Sensitization in Mice. Addiction Biology. 30(8). e70073–e70073. 1 indexed citations
3.
Bae, Eun-Kyung, et al.. (2023). Herbal formula PM012 induces neuroprotection in stroke brain. PLoS ONE. 18(2). e0281421–e0281421. 4 indexed citations
4.
Chen, Yun‐Hsiang, et al.. (2023). Prosaposin PS18 reduces dopaminergic neurodegeneration in a 6-hydroxydopamine rat model of Parkinson’s disease. Scientific Reports. 13(1). 8148–8148. 6 indexed citations
5.
Yu, Seong‐Jin, Jing Lin, Shuchun Chen, et al.. (2023). Peptide immunization against the C-terminal of alpha-synuclein reduces locomotor activity in mice overexpressing alpha-synuclein. PLoS ONE. 18(9). e0291927–e0291927. 2 indexed citations
6.
Chen, Yun‐Hsiang, et al.. (2021). The potential of adoptive transfer of γ9δ2 T cells to enhance blinatumomab’s antitumor activity against B-cell malignancy. Scientific Reports. 11(1). 12398–12398. 4 indexed citations
7.
Chen, Yun‐Hsiang, et al.. (2020). Human Milk Oligosaccharide 2′-Fucosyllactose Reduces Neurodegeneration in Stroke Brain. Translational Stroke Research. 11(5). 1001–1011. 20 indexed citations
8.
Bäck, Susanne, Amanda M. Dossat, Ilmari Parkkinen, et al.. (2019). Neuronal Activation Stimulates Cytomegalovirus Promoter-Driven Transgene Expression. Molecular Therapy — Methods & Clinical Development. 14. 180–188. 10 indexed citations
9.
Lee, Ming‐Cheng, et al.. (2018). Proteomic study revealed antipsychotics-induced nuclear protein regulations in B35 cells are similar to the regulations in C6 cells and rat cortex. BMC Pharmacology and Toxicology. 19(1). 9–9. 3 indexed citations
10.
Chen, Yun‐Hsiang, Mao‐Liang Chen, Yiwei Chen, et al.. (2017). Recombinant Adeno-Associated Virus-Mediated Expression of Methamphetamine Antibody Attenuates Methamphetamine-Induced Hyperactivity in Mice. Scientific Reports. 7(1). 46301–46301. 9 indexed citations
11.
Chen, Yun‐Hsiang, et al.. (2013). Treatment of methamphetamine abuse: An antibody-based immunotherapy approach. Journal of Food and Drug Analysis. 21(4). S82–S86. 11 indexed citations
12.
Chen, Huiming, et al.. (2012). Shikonin enhances efficacy of a gene-based cancer vaccine via induction of RANTES. Journal of Biomedical Science. 19(1). 42–42. 20 indexed citations
13.
Chen, Yun‐Hsiang, et al.. (2012). Genetic analysis of AUTS2 as a susceptibility gene of heroin dependence. Drug and Alcohol Dependence. 128(3). 238–242. 21 indexed citations
14.
Chen, Huiming, et al.. (2012). Shikonin induces immunogenic cell death in tumor cells and enhances dendritic cell-based cancer vaccine. Cancer Immunology Immunotherapy. 61(11). 1989–2002. 99 indexed citations
15.
Chen, Yun‐Hsiang, et al.. (2012). Methamphetamine Reduces Human Influenza A Virus Replication. PLoS ONE. 7(11). e48335–e48335. 12 indexed citations
16.
Shie, Feng‐Shiun, Yun‐Hsiang Chen, Chia‐Hsiang Chen, & Ing-Kang Ho. (2010). Neuroimmune Pharmacology of Neurodegenerative and Mental Diseases. Journal of Neuroimmune Pharmacology. 6(1). 28–40. 14 indexed citations
17.
Chen, Yun‐Hsiang, et al.. (2005). Genetic fusion of proteins to the SIV Tat protein enhances their immunogenicity. Vaccine. 24(6). 708–715. 2 indexed citations
18.
Chen, Yun‐Hsiang, et al.. (2001). Mutation analysis of the human NR4A2 gene, an essential gene for midbrain dopaminergic neurogenesis, in schizophrenic patients. American Journal of Medical Genetics. 105(8). 753–757. 51 indexed citations
19.
Liu, Meiying, et al.. (2001). Mutation analysis of synapsin III gene in schizophrenia. American Journal of Medical Genetics. 114(1). 79–83. 17 indexed citations
20.
Chen, Yun‐Hsiang, et al.. (2001). Systematic search for mutations in the human tissue inhibitor of metalloproteinases‐3 (TIMP‐3) gene on chromosome 22 and association study with schizophrenia. American Journal of Medical Genetics. 105(3). 275–278. 5 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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