Chia‐Lin Wu

2.8k total citations
59 papers, 2.0k citations indexed

About

Chia‐Lin Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Chia‐Lin Wu has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Chia‐Lin Wu's work include Neurobiology and Insect Physiology Research (28 papers), Insect and Arachnid Ecology and Behavior (11 papers) and Physiological and biochemical adaptations (10 papers). Chia‐Lin Wu is often cited by papers focused on Neurobiology and Insect Physiology Research (28 papers), Insect and Arachnid Ecology and Behavior (11 papers) and Physiological and biochemical adaptations (10 papers). Chia‐Lin Wu collaborates with scholars based in Taiwan, United States and China. Chia‐Lin Wu's co-authors include Ding‐I Yang, Shang‐Der Chen, Ann‐Shyn Chiang, Tsai‐Feng Fu, Tim Tully, Shouzhen Xia, Meng-Fu Maxwell Shih, Chi-Shin Hwang, Jiin‐Haur Chuang and Chi‐Shin Hwang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chia‐Lin Wu

55 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia‐Lin Wu Taiwan 25 955 644 336 204 190 59 2.0k
Ryan T. Birse United States 15 736 0.8× 580 0.9× 244 0.7× 210 1.0× 48 0.3× 18 1.5k
Aylin R. Rodan United States 21 657 0.7× 1.2k 1.9× 204 0.6× 425 2.1× 98 0.5× 60 2.5k
Eun-Kyung Bae South Korea 22 610 0.6× 817 1.3× 210 0.6× 93 0.5× 382 2.0× 75 1.9k
Robert Wessells United States 25 867 0.9× 1.0k 1.6× 291 0.9× 378 1.9× 59 0.3× 57 2.3k
Tomoyuki Miyashita Japan 26 1.0k 1.1× 1.2k 1.9× 272 0.8× 166 0.8× 186 1.0× 56 2.8k
Diego Sánchez Spain 28 485 0.5× 1.0k 1.6× 216 0.6× 373 1.8× 90 0.5× 58 2.2k
Jake Jacobson United Kingdom 17 857 0.9× 1.3k 2.0× 226 0.7× 578 2.8× 95 0.5× 24 3.0k
Cathy Slack United Kingdom 16 524 0.5× 1.0k 1.6× 159 0.5× 451 2.2× 79 0.4× 23 2.2k

Countries citing papers authored by Chia‐Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Lin 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 Chia‐Lin Wu. The network helps show where Chia‐Lin Wu may publish in the future.

Co-authorship network of co-authors of Chia‐Lin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Lin Wu. A scholar is included among the top collaborators of Chia‐Lin 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 Chia‐Lin Wu. Chia‐Lin Wu 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.
Wu, Tony, et al.. (2023). Thermosensation and Temperature Preference: From Molecules to Neuronal Circuits in Drosophila. Cells. 12(24). 2792–2792. 5 indexed citations
2.
Tai, Chin‐Yin, Meng Wu, Chia‐Lin Wu, et al.. (2023). APNmAb005, an anti‐tau antibody targeting synaptic tau oligomers, in Phase 1 for treatment of Alzheimer’s Disease and primary tauopathies. Alzheimer s & Dementia. 19(S21). 6 indexed citations
3.
Wu, Hui-Yu, et al.. (2022). Drosophila Model for Studying Gut Microbiota in Behaviors and Neurodegenerative Diseases. Biomedicines. 10(3). 596–596. 19 indexed citations
4.
Chiang, Hsueh‐Cheng, et al.. (2020). Mushroom body subsets encode CREB2-dependent water-reward long-term memory in Drosophila. PLoS Genetics. 16(8). e1008963–e1008963. 13 indexed citations
5.
Wu, Tony, et al.. (2019). Electrical synapses between mushroom body neurons are critical for consolidated memory retrieval in Drosophila. PLoS Genetics. 15(5). e1008153–e1008153. 12 indexed citations
6.
Chen, Yuan, David T.W. Tzeng, Yi‐Ping Huang, et al.. (2018). Antrocin Sensitizes Prostate Cancer Cells to Radiotherapy through Inhibiting PI3K/AKT and MAPK Signaling Pathways. Cancers. 11(1). 34–34. 45 indexed citations
7.
Wu, Chia‐Lin, et al.. (2018). Mushroom body glycolysis is required for olfactory memory in Drosophila. Neurobiology of Learning and Memory. 150. 13–19. 13 indexed citations
8.
Chen, Yuhui, Yu‐Chen Tsai, Chia‐Lin Wu, et al.. (2017). Active and passive sexual roles that arise in Drosophila male-male courtship are modulated by dopamine levels in PPL2ab neurons. Scientific Reports. 7(1). 44595–44595. 7 indexed citations
9.
Wu, Chia‐Lin, et al.. (2016). Roles of p62 in BDNF‐dependent autophagy suppression and neuroprotection against mitochondrial dysfunction in rat cortical neurons. Journal of Neurochemistry. 140(6). 845–861. 29 indexed citations
10.
Shih, Meng-Fu Maxwell, et al.. (2016). Additive Expression of Consolidated Memory through Drosophila Mushroom Body Subsets. PLoS Genetics. 12(5). e1006061–e1006061. 24 indexed citations
11.
Wu, Chia‐Lin, Yuhui Chen, Horng‐Dar Wang, et al.. (2015). PPL2ab neurons restore sexual responses in aged Drosophila males through dopamine. Nature Communications. 6(1). 7490–7490. 26 indexed citations
12.
Wu, Chia‐Lin, et al.. (2015). Parallel circuits control temperature preference in Drosophila during ageing. Nature Communications. 6(1). 7775–7775. 21 indexed citations
13.
Chen, Yueh‐Sheng, Shang‐Der Chen, Chia‐Lin Wu, Shiang-Suo Huang, & Ding‐I Yang. (2013). Induction of sestrin2 as an endogenous protective mechanism against amyloid beta-peptide neurotoxicity in primary cortical culture. Experimental Neurology. 253. 63–71. 58 indexed citations
14.
Chen, Chun‐Chao, Hsuan-Wen Lin, Tsai‐Feng Fu, et al.. (2012). Visualizing Long-Term Memory Formation in Two Neurons of the Drosophila Brain. Science. 335(6069). 678–685. 123 indexed citations
15.
Chang, Henry C., et al.. (2011). Pathogenic VCP/TER94 Alleles Are Dominant Actives and Contribute to Neurodegeneration by Altering Cellular ATP Level in a Drosophila IBMPFD Model. PLoS Genetics. 7(2). e1001288–e1001288. 47 indexed citations
16.
Wu, Chia‐Lin, et al.. (2010). Erythropoietin and sonic hedgehog mediate the neuroprotective effects of brain-derived neurotrophic factor against mitochondrial inhibition. Neurobiology of Disease. 40(1). 146–154. 35 indexed citations
17.
Wu, Chia‐Lin & Ann‐Shyn Chiang. (2008). Genes and Circuits for Olfactory-Associated Long-Term Memory inDrosophila. Journal of Neurogenetics. 22(3). 257–284. 6 indexed citations
18.
Wu, Chia‐Lin, Shouzhen Xia, Tsai‐Feng Fu, et al.. (2007). Specific requirement of NMDA receptors for long-term memory consolidation in Drosophila ellipsoid body. Nature Neuroscience. 10(12). 1578–1586. 135 indexed citations
19.
Huang, Chao‐Cheng, Jiin‐Haur Chuang, Ming-Huei Chou, et al.. (2005). Matrilysin (MMP-7) is a major matrix metalloproteinase upregulated in biliary atresia-associated liver fibrosis. Modern Pathology. 18(7). 941–950. 85 indexed citations
20.
Hsieh, Chih‐Sung, Jiin‐Haur Chuang, Chao‐Cheng Huang, et al.. (2005). Evaluation of matrix metalloproteinases and their endogenous tissue inhibitors in biliary atresia–associated liver fibrosis. Journal of Pediatric Surgery. 40(10). 1568–1573. 26 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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