Fang Guo

2.0k total citations · 1 hit paper
36 papers, 1.3k citations indexed

About

Fang Guo is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Fang Guo has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 19 papers in Endocrine and Autonomic Systems and 6 papers in Genetics. Recurrent topics in Fang Guo's work include Neurobiology and Insect Physiology Research (20 papers), Circadian rhythm and melatonin (18 papers) and Photoreceptor and optogenetics research (8 papers). Fang Guo is often cited by papers focused on Neurobiology and Insect Physiology Research (20 papers), Circadian rhythm and melatonin (18 papers) and Photoreceptor and optogenetics research (8 papers). Fang Guo collaborates with scholars based in China, United States and Australia. Fang Guo's co-authors include Michael Rosbash, Leslie C. Griffith, Xiao Chen, Weifei Luo, Katharine C. Abruzzi, Junwei Yu, Madelen M. Díaz, Yuhua Shang, Reazur Rahman and Aike Guo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fang Guo

33 papers receiving 1.3k citations

Hit Papers

Circadian neuron feedback controls the Drosophila sleep–a... 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Guo China 18 944 803 250 210 205 36 1.3k
Yoshiki Ishida Japan 18 193 0.2× 532 0.7× 45 0.2× 261 1.2× 114 0.6× 75 1.3k
Jongkyun Kang United States 12 594 0.6× 284 0.4× 158 0.6× 116 0.6× 46 0.2× 20 788
Patrick Chappell United States 21 150 0.2× 592 0.7× 529 2.1× 75 0.4× 77 0.4× 40 1.7k
Matthew D. Nelson United States 18 269 0.3× 311 0.4× 32 0.1× 177 0.8× 99 0.5× 31 957
Eun-Kyung Bae South Korea 22 610 0.6× 271 0.3× 210 0.8× 382 1.8× 38 0.2× 75 1.9k
Dechun Chen United States 11 259 0.3× 441 0.5× 55 0.2× 160 0.8× 67 0.3× 15 608
Piotr Bębas Poland 16 203 0.2× 449 0.6× 180 0.7× 107 0.5× 28 0.1× 32 778
Susan Broughton United Kingdom 14 1.1k 1.1× 313 0.4× 313 1.3× 86 0.4× 34 0.2× 23 2.0k
Gregory A. Lnenicka United States 20 820 0.9× 90 0.1× 97 0.4× 104 0.5× 124 0.6× 49 1.0k
Andrew C. Giles United States 18 315 0.3× 279 0.3× 128 0.5× 25 0.1× 70 0.3× 27 982

Countries citing papers authored by Fang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Guo. A scholar is included among the top collaborators of Fang 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 Fang Guo. Fang Guo 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.
Lu, Qiuwei, Xueying Wang, Sheng Dong, et al.. (2025). Screening of qPCR Reference Genes in Quinoa Under Cold, Heat, and Drought Gradient Stress. Plants. 14(15). 2434–2434.
2.
Li, Zhiyi, et al.. (2024). Dynamic encoding of temperature in the central circadian circuit coordinates physiological activities. Nature Communications. 15(1). 12 indexed citations
3.
Yuan, Xin, et al.. (2024). Temperature cues are integrated in a flexible circadian neuropeptidergic feedback circuit to remodel sleep-wake patterns in flies. PLoS Biology. 22(12). e3002918–e3002918. 2 indexed citations
4.
Lu, Tianzhu, Jingfeng Zong, Chaobin Huang, et al.. (2023). Constructing an individualized surveillance framework for nasopharyngeal carcinoma based on a dynamic risk-adapted approach. Radiotherapy and Oncology. 185. 109716–109716. 6 indexed citations
5.
Guo, Fang, et al.. (2023). HOXC8/TGF-β1 positive feedback loop promotes liver fibrosis and hepatic stellate cell activation via activating Smad2/Smad3 signaling. Biochemical and Biophysical Research Communications. 662. 39–46. 3 indexed citations
6.
Hu, Min, et al.. (2023). Primary angiomatoid fibrous histiocytoma of the mandible with EWSR1-ATF1 fusion in an adult patient: case report and review of literature. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 136(3). e116–e122. 3 indexed citations
7.
Rosbash, Michael, et al.. (2022). Recurrent circadian circuitry regulates central brain activity to maintain sleep. Neuron. 110(13). 2139–2154.e5. 23 indexed citations
8.
Chen, Zhuo, Dan Wang, Guo-Hua Dao, et al.. (2021). Environmental impact of the effluents discharging from full-scale wastewater treatment plants evaluated by a hybrid fuzzy approach. The Science of The Total Environment. 790. 148212–148212. 13 indexed citations
9.
Luo, Weifei, Fang Guo, Aoife McMahon, et al.. (2018). NonA and CPX Link the Circadian Clockwork to Locomotor Activity in Drosophila. Neuron. 99(4). 768–780.e3. 9 indexed citations
10.
Chen, Zhuo, Dan Wang, Mingxing Sun, et al.. (2018). Sustainability evaluation and implication of a large scale membrane bioreactor plant. Bioresource Technology. 269. 246–254. 20 indexed citations
11.
Guo, Fang, Xiao Chen, & Michael Rosbash. (2017). Temporal calcium profiling of specific circadian neurons in freely moving flies. Proceedings of the National Academy of Sciences. 114(41). E8780–E8787. 62 indexed citations
12.
Abruzzi, Katharine C., Weifei Luo, Reazur Rahman, et al.. (2017). RNA-seq analysis of Drosophila clock and non-clock neurons reveals neuron-specific cycling and novel candidate neuropeptides. PLoS Genetics. 13(2). e1006613–e1006613. 98 indexed citations
13.
Feng, Hanping, Qiuhua Wang, Fang Guo, et al.. (2017). Nesfatin-1 Influences the Excitability of Gastric Distension-Responsive Neurons in the Ventromedial Hypothalamic Nucleus of Rats. Physiological Research. 66(2). 335–344. 10 indexed citations
14.
Vienne, Julie, et al.. (2016). Age-Related Reduction of Recovery Sleep and Arousal Threshold inDrosophila. SLEEP. 39(8). 1613–1624. 50 indexed citations
15.
Li, Yue, Fang Guo, James Shen, & Michael Rosbash. (2014). PDF and cAMP enhance PER stability in Drosophila clock neurons. Proceedings of the National Academy of Sciences. 111(13). E1284–90. 59 indexed citations
16.
Guo, Fang, et al.. (2014). PDF neuron firing phase-shifts key circadian activity neurons in Drosophila. eLife. 3. 96 indexed citations
17.
Shang, Yuhua, Nathan C. Donelson, Christopher G. Vecsey, et al.. (2013). Short Neuropeptide F Is a Sleep-Promoting Inhibitory Modulator. Neuron. 80(1). 171–183. 105 indexed citations
18.
Shang, Yuhua, Paula Haynes, Nicolás Pírez, et al.. (2011). Imaging analysis of clock neurons reveals light buffers the wake-promoting effect of dopamine. Nature Neuroscience. 14(7). 889–895. 83 indexed citations
19.
Liu, Weijie, et al.. (2008). amnesiac regulates sleep onset and maintenance in Drosophila melanogaster. Biochemical and Biophysical Research Communications. 372(4). 798–803. 41 indexed citations
20.
Guo, Fang, et al.. (2008). Circadian modulation of light‐induced locomotion responses in Drosophila melanogaster. Genes Brain & Behavior. 7(7). 730–739. 21 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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