Fong-Sen Wu

681 total citations
10 papers, 547 citations indexed

About

Fong-Sen Wu is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Fong-Sen Wu has authored 10 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Behavioral Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Fong-Sen Wu's work include Stress Responses and Cortisol (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Fong-Sen Wu is often cited by papers focused on Stress Responses and Cortisol (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Fong-Sen Wu collaborates with scholars based in Taiwan, United States and Italy. Fong-Sen Wu's co-authors include Jih‐Ing Chuang, Yu‐Min Kuo, Chauying J. Jen, Lung Yu, Shih-Ying Wu, Chih-Wei Wu, Shean-Jen Chen, Hsiun-ing Chen, Shu‐Cheng Chen and Jing‐Jane Tsai and has published in prestigious journals such as Brain Research, Journal of Applied Physiology and Experimental Neurology.

In The Last Decade

Fong-Sen Wu

10 papers receiving 537 citations

Peers

Fong-Sen Wu

CMN

PHYSI

MB

DN

NEURO

Baek‐Vin Lim South Korea

Ewelina Pałasz Poland

Sang-Seo Park South Korea

Johnny D. Figueroa United States

Laura Mòdol Spain

Nabil Karnib Lebanon

Marlena Wosiski‐Kuhn United States

Eun‐Sang Ji South Korea

Lisiani Saur Brazil

Stefano Sartini Italy

Baek‐Vin Lim South Korea

Fong-Sen Wu

159 ×0.8

CMN

116 ×0.8

PHYSI

96 ×0.7

MB

132 ×1.1

DN

81 ×0.8

NEURO

Citations per year, relative to Fong-Sen Wu Fong-Sen Wu (= 1×) peers Baek‐Vin Lim

Countries citing papers authored by Fong-Sen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Fong-Sen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fong-Sen Wu. 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 Fong-Sen Wu. The network helps show where Fong-Sen Wu may publish in the future.

Co-authorship network of co-authors of Fong-Sen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fong-Sen Wu. A scholar is included among the top collaborators of Fong-Sen Wu 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 Fong-Sen Wu. Fong-Sen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Tsai, Sheng‐Feng, Lung Yu, Jih‐Ing Chuang, et al.. (2015). Long-term moderate exercise accelerates the recovery of stress-evoked cardiovascular responses. Stress. 19(1). 125–132. 11 indexed citations

2.

Jen, Chauying J., et al.. (2014). Treadmill exercise activates Nrf2 antioxidant system to protect the nigrostriatal dopaminergic neurons from MPP+ toxicity. Experimental Neurology. 263. 50–62. 80 indexed citations

3.

Cho, Keng-Chi, Shean-Jen Chen, Yu‐Min Kuo, et al.. (2012). Chronic treadmill exercise in rats delicately alters the Purkinje cell structure to improve motor performance and toxin resistance in the cerebellum. Journal of Applied Physiology. 113(6). 889–895. 19 indexed citations

4.

Chang, Yi-Sheng, Chiou‐Feng Lin, Chao‐Liang Wu, et al.. (2011). Mechanisms Underlying Benzyl Alcohol Cytotoxicity (Triamcinolone Acetonide Preservative) in Human Retinal Pigment Epithelial Cells. Investigative Ophthalmology & Visual Science. 52(7). 4214–4214. 20 indexed citations

5.

Chen, Hsiun-ing, Yu‐Min Kuo, Lung Yu, et al.. (2011). Chronic treadmill running in normotensive rats resets the resting blood pressure to lower levels by upregulating the hypothalamic GABAergic system. Journal of Hypertension. 29(12). 2339–2348. 26 indexed citations

6.

Lin, Tzu-Wei, Shean-Jen Chen, Chia-Yuan Chang, et al.. (2011). Different types of exercise induce differential effects on neuronal adaptations and memory performance. Neurobiology of Learning and Memory. 97(1). 140–147. 95 indexed citations

7.

Wu, Shih-Ying, Lung Yu, Chauying J. Jen, et al.. (2010). Running exercise protects the substantia nigra dopaminergic neurons against inflammation-induced degeneration via the activation of BDNF signaling pathway. Brain Behavior and Immunity. 25(1). 135–146. 163 indexed citations

8.

Liu, Yu-Fan, Hsiun-ing Chen, Lung Yu, et al.. (2008). Upregulation of hippocampal TrkB and synaptotagmin is involved in treadmill exercise-enhanced aversive memory in mice. Neurobiology of Learning and Memory. 90(1). 81–89. 83 indexed citations

9.

Wu, Fong-Sen, et al.. (2000). Non-competitive inhibition of 5-HT3 receptor-mediated currents by progesterone in rat nodose ganglion neurons. Neuroscience Letters. 278(1-2). 37–40. 12 indexed citations

10.

Wu, Fong-Sen, Shu‐Cheng Chen, & Jing‐Jane Tsai. (1997). Competitive inhibition of the glycine-induced current by pregnenolone sulfate in cultured chick spinal cord neurons. Brain Research. 750(1-2). 318–320. 38 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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