Hui-Fu Guo

1.0k total citations
12 papers, 802 citations indexed

About

Hui-Fu Guo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Hui-Fu Guo has authored 12 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Hui-Fu Guo's work include Neurobiology and Insect Physiology Research (4 papers), Olfactory and Sensory Function Studies (3 papers) and Pain Mechanisms and Treatments (2 papers). Hui-Fu Guo is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Olfactory and Sensory Function Studies (3 papers) and Pain Mechanisms and Treatments (2 papers). Hui-Fu Guo collaborates with scholars based in United States, China and Taiwan. Hui-Fu Guo's co-authors include Yi Zhong, Frances Hannan, Lin Luo, Karel Svoboda, Bingwei Lu, Ji‐Sheng Han, Jinhua Tian, Inessa Hakker, Yalin Wang and Wei‐Yong Lin and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Hui-Fu Guo

12 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui-Fu Guo United States 11 401 243 174 137 132 12 802
Takako Morimoto Japan 16 505 1.3× 447 1.8× 89 0.5× 204 1.5× 149 1.1× 51 1.1k
Jun Kim South Korea 18 287 0.7× 519 2.1× 52 0.3× 44 0.3× 105 0.8× 63 951
Ruth Fabian‐Fine Canada 14 820 2.0× 676 2.8× 106 0.6× 205 1.5× 83 0.6× 19 1.2k
John F. Bishop United States 16 653 1.6× 403 1.7× 446 2.6× 118 0.9× 42 0.3× 28 1.1k
Lay Kodama United States 11 370 0.9× 247 1.0× 69 0.4× 41 0.3× 137 1.0× 13 1.1k
Bruce A. Chase United States 13 262 0.7× 148 0.6× 334 1.9× 30 0.2× 51 0.4× 29 572
Junhai Han China 20 506 1.3× 483 2.0× 115 0.7× 163 1.2× 195 1.5× 59 1.1k
Norihito Uemura Japan 19 290 0.7× 406 1.7× 658 3.8× 144 1.1× 94 0.7× 31 1.2k
Tatsuya Mishima Japan 12 318 0.8× 283 1.2× 27 0.2× 186 1.4× 136 1.0× 26 637
William P. Gilks United Kingdom 7 265 0.7× 312 1.3× 616 3.5× 92 0.7× 94 0.7× 9 879

Countries citing papers authored by Hui-Fu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hui-Fu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui-Fu Guo

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

All Works

12 of 12 papers shown
1.
Guo, Hui-Fu, Jiong Liu, Michael Flora, et al.. (2015). N -acetyl-aspartyl-glutamate and inhibition of glutamate carboxypeptidases protects against soman-induced neuropathology. NeuroToxicology. 48. 180–191. 11 indexed citations
2.
Lee, Seongsoo, Hsin‐Ping Liu, Wei‐Yong Lin, Hui-Fu Guo, & Bingwei Lu. (2010). LRRK2 Kinase Regulates Synaptic Morphology through Distinct Substrates at the Presynaptic and Postsynaptic Compartments of theDrosophilaNeuromuscular Junction. Journal of Neuroscience. 30(50). 16959–16969. 96 indexed citations
3.
Guo, Hui-Fu, et al.. (2009). Notch Signaling Is Required for Activity-Dependent Synaptic Plasticity at theDrosophilaNeuromuscular Junction. Journal of Neurogenetics. 23(4). 395–404. 26 indexed citations
4.
Guo, Hui-Fu, et al.. (2009). Notch Signaling Is Required for Activity-Dependent Synaptic Plasticity at the Drosophila Neuromuscular Junction. Journal of Neurogenetics. 1–10. 1 indexed citations
5.
Zhang, Yali, Hui-Fu Guo, Helen Kwan, et al.. (2007). PAR-1 Kinase Phosphorylates Dlg and Regulates Its Postsynaptic Targeting at the Drosophila Neuromuscular Junction. Neuron. 53(2). 201–215. 70 indexed citations
6.
Guo, Hui-Fu & Yi Zhong. (2006). Requirement of Akt to Mediate Long-Term Synaptic Depression inDrosophila. Journal of Neuroscience. 26(15). 4004–4014. 29 indexed citations
7.
Wang, Yalin, Hui-Fu Guo, Frances Hannan, et al.. (2004). Stereotyped Odor-Evoked Activity in the Mushroom Body of Drosophila Revealed by Green Fluorescent Protein-Based Ca 2+ Imaging. Journal of Neuroscience. 24(29). 6507–6514. 158 indexed citations
8.
Wright, N. J., Hui-Fu Guo, Zuoping Xie, et al.. (2001). Genetic Manipulation of the Odor-Evoked Distributed Neural Activity in the Drosophila Mushroom Body. Neuron. 29(1). 267–276. 72 indexed citations
9.
Guo, Hui-Fu, et al.. (2000). A neurofibromatosis-1-regulated pathway is required for learning in Drosophila. Nature. 403(6772). 895–898. 196 indexed citations
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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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