Fu-De Huang

642 total citations
23 papers, 438 citations indexed

About

Fu-De Huang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Fu-De Huang has authored 23 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Fu-De Huang's work include Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Fu-De Huang is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Fu-De Huang collaborates with scholars based in China, Denmark and Singapore. Fu-De Huang's co-authors include Wen-An Wang, Nastasia K.-H. Lim, Arne Møller, Haiyan Liu, Jingjing Cheng, Binggui Sun, Kendal Broadie, Elvin Woodruff, Shabbir Moochhala and Ralf Mohrmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Fu-De Huang

23 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu-De Huang China 11 169 158 122 71 55 23 438
Daniela Valadão Rosa Brazil 16 232 1.4× 120 0.8× 167 1.4× 60 0.8× 64 1.2× 44 613
Yasufumi Sakakibara Japan 12 111 0.7× 141 0.9× 109 0.9× 75 1.1× 41 0.7× 23 382
James P. Quinn United States 12 169 1.0× 263 1.7× 208 1.7× 96 1.4× 29 0.5× 16 520
Anna Malishkevich Israel 10 248 1.5× 119 0.8× 288 2.4× 66 0.9× 127 2.3× 11 718
Khalil Saadipour United States 12 162 1.0× 149 0.9× 100 0.8× 38 0.5× 18 0.3× 14 406
P. Lorenzo Bozzelli United States 12 175 1.0× 183 1.2× 210 1.7× 179 2.5× 78 1.4× 15 601
Gonzalo León‐Espinosa Spain 11 136 0.8× 152 1.0× 112 0.9× 55 0.8× 64 1.2× 25 379
Leticia Verdugo-Dı́az Mexico 13 153 0.9× 143 0.9× 102 0.8× 35 0.5× 57 1.0× 27 535
Avia Merenlender‐Wagner Israel 7 109 0.6× 66 0.4× 124 1.0× 39 0.5× 47 0.9× 8 404
Svenja V. Trossbach Germany 14 188 1.1× 88 0.6× 387 3.2× 75 1.1× 65 1.2× 28 691

Countries citing papers authored by Fu-De Huang

Since Specialization
Citations

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

Fields of papers citing papers by Fu-De Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu-De Huang. 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 Fu-De Huang. The network helps show where Fu-De Huang may publish in the future.

Co-authorship network of co-authors of Fu-De Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-De Huang. A scholar is included among the top collaborators of Fu-De Huang 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 Fu-De Huang. Fu-De Huang 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.
Huang, Fu-De, et al.. (2025). How do economic policy uncertainty and geopolitical risk affect oil imports? Evidence from China and India. Energy Strategy Reviews. 59. 101695–101695. 5 indexed citations
2.
Wei, Xiaojie, Jing Wang, Yiping Zhang, et al.. (2024). Efr3b is essential for social recognition by modulating the excitability of CA2 pyramidal neurons. Proceedings of the National Academy of Sciences. 121(3). e2314557121–e2314557121. 5 indexed citations
3.
Wang, Qi, Ying Li, Fu-De Huang, Jingya Lin, & Wen-An Wang. (2022). Effects of tau on Aβ-induced synaptic damage in a Drosophila model of Alzheimer's disease.. PubMed. 43(2). 68–76. 1 indexed citations
4.
Lim, Nastasia K.-H., et al.. (2021). Hyccin/FAM126A deficiency reduces glial enrichment and axonal sheath, which are rescued by overexpression of a plasma membrane-targeting PI4KIIIα in Drosophila. Biochemical and Biophysical Research Communications. 589. 71–77. 3 indexed citations
5.
He, Yang, Yan Wu, Huaping Qin, et al.. (2019). Amyloid β oligomers suppress excitatory transmitter release via presynaptic depletion of phosphatidylinositol-4,5-bisphosphate. Nature Communications. 10(1). 1193–1193. 104 indexed citations
6.
Sun, Minghao, Yinghui Zhao, Baozhu Zhang, et al.. (2018). TTC7 and Hyccin Regulate Neuronal Aβ42 Accumulation and its Associated Neural Deficits in Aβ42-Expressing Drosophila. Journal of Alzheimer s Disease. 65(3). 1001–1010. 1 indexed citations
7.
Lim, Nastasia K.-H., et al.. (2018). An Improved Method for Collection of Cerebrospinal Fluid from Anesthetized Mice. Journal of Visualized Experiments. 49 indexed citations
8.
Lim, Nastasia K.-H., et al.. (2018). An Improved Method for Collection of Cerebrospinal Fluid from Anesthetized Mice. Journal of Visualized Experiments. 27 indexed citations
9.
Zhang, Xiao, Wen-An Wang, Lixiang Jiang, et al.. (2017). Downregulation of RBO-PI4KIIIα Facilitates Aβ42Secretion and Ameliorates Neural Deficits in Aβ42-ExpressingDrosophila. Journal of Neuroscience. 37(19). 4928–4941. 11 indexed citations
10.
11.
Lim, Nastasia K.-H., et al.. (2017). An Efficient and Reliable Assay for Investigating the Effects of Hypoxia/Anoxia on Drosophila. Neuroscience Bulletin. 34(2). 397–402. 10 indexed citations
12.
13.
Zhou, Dongming, Hongyu Pan, Zhiwei Liu, et al.. (2017). Brain‐specific ablation of Efr3a promotes adult hippocampal neurogenesis via the brain‐derived neurotrophic factor pathway. The FASEB Journal. 31(5). 2104–2113. 9 indexed citations
14.
Hu, Haixia, Bin Ye, Le Zhang, et al.. (2017). Efr3a Insufficiency Attenuates the Degeneration of Spiral Ganglion Neurons after Hair Cell Loss. Frontiers in Molecular Neuroscience. 10. 10 indexed citations
15.
Shen, Yijun, et al.. (2016). SH2B1 is Involved in the Accumulation of Amyloid-β42 in Alzheimer’s Disease. Journal of Alzheimer s Disease. 55(2). 835–847. 8 indexed citations
16.
Liu, Haiyan, Meng Han, Qingyi Li, et al.. (2015). Automated rapid iterative negative geotaxis assay and its use in a genetic screen for modifiers of Aβ42-induced locomotor decline in Drosophila. Neuroscience Bulletin. 31(5). 541–549. 32 indexed citations
17.
Huang, Jiankang, et al.. (2012). Age-dependent alterations in the presynaptic active zone in a Drosophila model of Alzheimer's Disease. Neurobiology of Disease. 51. 161–167. 32 indexed citations
18.
Wang, Wen-An, et al.. (2011). Overexpression of Human MRP1 in Neurons causes resistance to Antiepileptic Drugs inDrosophilaSeizure Mutants. Journal of Neurogenetics. 25(4). 201–206. 10 indexed citations
19.
Huang, Fu-De, et al.. (2006). Hippocampal theta state in relation to formalin nociception. Pain. 121(1). 29–42. 31 indexed citations
20.
Huang, Fu-De, Elvin Woodruff, Ralf Mohrmann, & Kendal Broadie. (2006). Rolling Blackout Is Required for Synaptic Vesicle Exocytosis. Journal of Neuroscience. 26(9). 2369–2379. 30 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniela Valadão Rosa Breakdown of academic impact, for papers by Yasufumi Sakakibara Breakdown of academic impact, for papers by James P. Quinn Breakdown of academic impact, for papers by Anna Malishkevich Breakdown of academic impact, for papers by Khalil Saadipour Breakdown of academic impact, for papers by P. Lorenzo Bozzelli Breakdown of academic impact, for papers by Gonzalo León‐Espinosa Breakdown of academic impact, for papers by Leticia Verdugo-Dı́az Breakdown of academic impact, for papers by Avia Merenlender‐Wagner Breakdown of academic impact, for papers by Svenja V. Trossbach
Rankless by CCL
2026