Feng‐Shiun Shie

2.2k total citations
42 papers, 1.8k citations indexed

About

Feng‐Shiun Shie is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Feng‐Shiun Shie has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 19 papers in Neurology and 14 papers in Molecular Biology. Recurrent topics in Feng‐Shiun Shie's work include Alzheimer's disease research and treatments (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers) and Immune Response and Inflammation (5 papers). Feng‐Shiun Shie is often cited by papers focused on Alzheimer's disease research and treatments (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers) and Immune Response and Inflammation (5 papers). Feng‐Shiun Shie collaborates with scholars based in Taiwan, United States and India. Feng‐Shiun Shie's co-authors include Thomas J. Montine, Richard Breyer, Kathleen S. Montine, Lee‐Way Jin, Huey-Jen Tsay, James B. Leverenz, Renee Leboeuf, David G. Cook, Yi‐Hsuan Lee and Lee‐Way Jin and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Feng‐Shiun Shie

42 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng‐Shiun Shie Taiwan 25 699 569 541 320 228 42 1.8k
Hyung Hwan Baik South Korea 28 402 0.6× 724 1.3× 439 0.8× 298 0.9× 229 1.0× 49 2.0k
Paige E. Cramer United States 7 1.2k 1.7× 785 1.4× 490 0.9× 379 1.2× 154 0.7× 7 2.0k
Émilie Faivre France 18 715 1.0× 603 1.1× 533 1.0× 574 1.8× 170 0.7× 29 2.1k
Virve Cavallucci Italy 22 720 1.0× 895 1.6× 483 0.9× 668 2.1× 163 0.7× 28 2.2k
Xibin Liang United States 19 407 0.6× 530 0.9× 479 0.9× 418 1.3× 239 1.0× 23 1.7k
Grzegorz A. Czapski Poland 25 478 0.7× 622 1.1× 299 0.6× 245 0.8× 201 0.9× 56 1.7k
Jingru Hu United States 20 804 1.2× 974 1.7× 439 0.8× 407 1.3× 217 1.0× 37 1.8k
Joshua B. Owen United States 11 702 1.0× 574 1.0× 398 0.7× 194 0.6× 100 0.4× 13 1.7k
Yiyuan Xia China 26 991 1.4× 1.0k 1.8× 363 0.7× 344 1.1× 184 0.8× 57 2.4k
Aiguo Xuan China 21 549 0.8× 773 1.4× 321 0.6× 331 1.0× 103 0.5× 39 1.8k

Countries citing papers authored by Feng‐Shiun Shie

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Shiun Shie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Shiun Shie. 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 Feng‐Shiun Shie. The network helps show where Feng‐Shiun Shie may publish in the future.

Co-authorship network of co-authors of Feng‐Shiun Shie

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Shiun Shie. A scholar is included among the top collaborators of Feng‐Shiun Shie 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 Feng‐Shiun Shie. Feng‐Shiun Shie 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.
Tsay, Huey‐Jen, Yu‐Han Su, Yu Sun, et al.. (2024). Reducing brain Aβ burden ameliorates high-fat diet-induced fatty liver disease in APP/PS1 mice. Biomedicine & Pharmacotherapy. 173. 116404–116404. 1 indexed citations
2.
Lai, Rai‐Hua, et al.. (2022). Neurotropic EV71 causes encephalitis by engaging intracellular TLR9 to elicit neurotoxic IL12-p40-iNOS signaling. Cell Death and Disease. 13(4). 328–328. 9 indexed citations
3.
Tao, Pao‐Luh, et al.. (2021). Dextromethorphan Dampens Neonatal Astrocyte Activation and Endoplasmic Reticulum Stress Induced by Prenatal Exposure to Buprenorphine. Behavioural Neurology. 2021. 1–10. 7 indexed citations
5.
Kuo, Yi-Min, Chia‐Chi Hung, Yujie Huang, et al.. (2019). Soluble Epoxide Hydrolase Inhibition Attenuates Excitotoxicity Involving 14,15-Epoxyeicosatrienoic Acid–Mediated Astrocytic Survival and Plasticity to Preserve Glutamate Homeostasis. Molecular Neurobiology. 56(12). 8451–8474. 17 indexed citations
6.
Shiao, Young‐Ji, et al.. (2018). Augmented Insulin and Leptin Resistance of High Fat Diet-Fed APPswe/PS1dE9 Transgenic Mice Exacerbate Obesity and Glycemic Dysregulation. International Journal of Molecular Sciences. 19(8). 2333–2333. 31 indexed citations
7.
Hung, Chia‐Chi, Yu Sun, Teng‐Nan Lin, et al.. (2016). Astrocytic GAP43 Induced by the TLR4/NF-κB/STAT3 Axis Attenuates Astrogliosis-Mediated Microglial Activation and Neurotoxicity. Journal of Neuroscience. 36(6). 2027–2043. 88 indexed citations
8.
Lee, Yi‐Hsuan, Chunhua Lin, Yu Sun, et al.. (2015). Aryl hydrocarbon receptor mediates both proinflammatory and anti‐inflammatory effects in lipopolysaccharide‐activated microglia. Glia. 63(7). 1138–1154. 94 indexed citations
9.
Shie, Feng‐Shiun, et al.. (2015). Impaired cognition and cerebral glucose regulation are associated with astrocyte activation in the parenchyma of metabolically stressed APPswe/PS1dE9 mice. Neurobiology of Aging. 36(11). 2984–2994. 34 indexed citations
10.
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
11.
Chern, Jyh‐Haur, et al.. (2010). Modulation of microglial immune responses by a novel thiourea derivative. Chemico-Biological Interactions. 188(1). 228–236. 3 indexed citations
12.
Shiao, Young‐Ji, et al.. (2009). Enlargement of Aβ aggregates through chemokine-dependent microglial clustering. Neuroscience Research. 63(4). 280–287. 16 indexed citations
13.
Shie, Feng‐Shiun & Zaodung Ling. (2007). Therapeutic strategy at the crossroad of neuroinflammation and oxidative stress in age-related neurodegenerative diseases. Expert Opinion on Therapeutic Patents. 17(4). 419–428. 1 indexed citations
14.
Shie, Feng‐Shiun & Randall L. Woltjer. (2007). Manipulation of Microglial Activation as a Therapeutic Strategy in Alzheimers Disease. Current Medicinal Chemistry. 14(27). 2865–2871. 25 indexed citations
16.
Xiong, Ye, et al.. (2005). Prevention of mitochondrial dysfunction in post‐traumatic mouse brain by superoxide dismutase. Journal of Neurochemistry. 95(3). 732–744. 45 indexed citations
17.
Shie, Feng‐Shiun, Kathleen S. Montine, Richard Breyer, & Thomas J. Montine. (2005). Microglial EP2 is critical to neurotoxicity from activated cerebral innate immunity. Glia. 52(1). 70–77. 92 indexed citations
18.
Shie, Feng‐Shiun, Richard Breyer, & Thomas J. Montine. (2005). Microglia Lacking E Prostanoid Receptor Subtype 2 Have Enhanced Aβ Phagocytosis yet Lack Aβ-Activated Neurotoxicity. American Journal Of Pathology. 166(4). 1163–1172. 106 indexed citations
19.
Milatović, Dejan, Snjezana Zaja‐Milatovic, Kathleen S. Montine, Feng‐Shiun Shie, & Thomas J. Montine. (2004). Neuronal oxidative damage and dendritic degeneration following activation of CD14-dependent innate immune response in vivo.. Journal of Neuroinflammation. 1(1). 20–20. 53 indexed citations
20.
Jin, Jinghua, Gloria E. Meredith, Leo Chen, et al.. (2004). Quantitative proteomic analysis of mitochondrial proteins: relevance to Lewy body formation and Parkinson's disease. Molecular Brain Research. 134(1). 119–138. 113 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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