Shaofang Shu

1.1k total citations
22 papers, 827 citations indexed

About

Shaofang Shu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Shaofang Shu has authored 22 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 7 papers in Developmental Neuroscience. Recurrent topics in Shaofang Shu's work include Neuroscience and Neuropharmacology Research (9 papers), Anesthesia and Neurotoxicity Research (6 papers) and Ion channel regulation and function (5 papers). Shaofang Shu is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Anesthesia and Neurotoxicity Research (6 papers) and Ion channel regulation and function (5 papers). Shaofang Shu collaborates with scholars based in China and United States. Shaofang Shu's co-authors include Douglas A. Bayliss, Xiangdong Chen, Yingtang Shi, Sheng Wang, Patrice G. Guyenet, Kodi S. Ravichandran, Yu‐Hsin Chiu, Jaideep Kapur, Vesna Jevtovic‐Todorovic and B. Bennett and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Shaofang Shu

18 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaofang Shu China	13	378	310	185	131	123	22	827
Yu‐Lin Dong China	20	465 1.2×	285 0.9×	149 0.8×	106 0.8×	569 4.6×	47	1.1k
Tiejun Xu China	12	522 1.4×	410 1.3×	113 0.6×	39 0.3×	110 0.9×	14	992
Ruslan Damadzic United States	19	861 2.3×	416 1.3×	196 1.1×	133 1.0×	205 1.7×	26	1.3k
De‐Lai Qiu China	15	401 1.1×	206 0.7×	145 0.8×	126 1.0×	55 0.4×	79	725
Verginia C. Cuzon Carlson United States	14	435 1.2×	202 0.7×	187 1.0×	43 0.3×	79 0.6×	31	785
Seung Kil Hong South Korea	19	453 1.2×	191 0.6×	155 0.8×	188 1.4×	634 5.2×	33	1.1k
Linda Palmer United States	10	446 1.2×	202 0.7×	238 1.3×	46 0.4×	103 0.8×	21	693
Sylvain Gigout United Kingdom	16	389 1.0×	366 1.2×	142 0.8×	84 0.6×	243 2.0×	22	800
Vadim Yakhnitsa United States	16	371 1.0×	170 0.5×	207 1.1×	78 0.6×	314 2.6×	42	860
Jiang-Hong Ye United States	23	840 2.2×	527 1.7×	254 1.4×	98 0.7×	197 1.6×	53	1.3k

Countries citing papers authored by Shaofang Shu

Since Specialization

Citations

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

Fields of papers citing papers by Shaofang Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaofang Shu

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

All Works

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20 of 20 papers shown

Huang, Shiqian, Yuxi Zhou, Haipeng Ji, et al.. (2025). Decoding mechanisms and protein markers in lung-brain axis. Respiratory Research. 26(1). 190–190.

Wang, Tingting, et al.. (2025). Effects of perioperative anesthetics on the postoperative prognosis of patients undergoing surgery for cervical cancer. Frontiers in Pharmacology. 16. 1536663–1536663.

Huang, Shiqian, Yuxi Zhou, Jie Liu, et al.. (2025). Global research trends of neuroinflammation in perioperative neurocognitive dysfunction: a bibliometric analysis. Perioperative Medicine. 14(1). 76–76.

Huang, Li, Yanyan Zhang, Kaixin Wang, et al.. (2024). Untargeted metabolomics and mendelian randomization analysis identify alpha-linolenic acid and linoleic acid as novel biomarkers of perioperative neurocognitive dysfunction. Clinical Nutrition. 43(9). 2198–2210.

Zhang, Tianhao, et al.. (2024). PD-L1/PD-1 pathway: a potential neuroimmune target for pain relief. Cell & Bioscience. 14(1). 51–51. 2 indexed citations

Ma, Lulin, Linlin Han, Feng Xu, et al.. (2024). BDNF-VGF Pathway Aggravates Incision Induced Acute Postoperative Pain via Upregulating the Neuroinflammation in Dorsal Root Ganglia. Molecular Neurobiology. 62(1). 169–183. 4 indexed citations

Ma, Lulin, et al.. (2023). IGF/IGF-1R signal pathway in pain: a promising therapeutic target. International Journal of Biological Sciences. 19(11). 3472–3482. 14 indexed citations

Ding, Yuanyuan, Yafeng Wang, Shuai Zhao, et al.. (2023). Genetic polymorphisms are associated with individual susceptibility to dexmedetomidine. Frontiers in Genetics. 14. 1187415–1187415. 3 indexed citations

Zhao, Shuai, Linlin Han, Shiqian Huang, et al.. (2021). Electroencephalogram Signatures of Agitation Induced by Sevoflurane and Its Association With Genetic Polymorphisms. Frontiers in Medicine. 8. 678185–678185. 3 indexed citations

10.

Gao, Jie, Zhiqiang Hu, Liwei Shi, et al.. (2018). HCN channels contribute to the sensitivity of intravenous anesthetics in developmental mice. Oncotarget. 9(16). 12907–12917. 10 indexed citations

11.

Chiu, Yu‐Hsin, Christopher B. Medina, Susan A. Leonhardt, et al.. (2017). A quantized mechanism for activation of pannexin channels. Nature Communications. 8(1). 14324–14324. 109 indexed citations

12.

Yao, Chengye, Yu Li, Shaofang Shu, et al.. (2017). TASK channels contribute to neuroprotective action of inhalational anesthetics. Scientific Reports. 7(1). 44203–44203. 13 indexed citations

13.

Weaver, Janelle L., Sanja Arandjelovic, G. C. Brown, et al.. (2017). Hematopoietic pannexin 1 function is critical for neuropathic pain. Scientific Reports. 7(1). 42550–42550. 46 indexed citations

14.

Zhou, Cheng, Jennifer E. Douglas, Natasha N. Kumar, et al.. (2013). Forebrain HCN1 Channels Contribute to Hypnotic Actions of Ketamine. Anesthesiology. 118(4). 785–795. 59 indexed citations

15.

Wang, Sheng, Yingtang Shi, Shaofang Shu, Patrice G. Guyenet, & Douglas A. Bayliss. (2013). Phox2b-Expressing Retrotrapezoid Neurons Are Intrinsically Responsive to H ⁺ and CO ₂. Journal of Neuroscience. 33(18). 7756–7761. 87 indexed citations

16.

Lazarenko, Roman M., Shaofang Shu, Allison P. Berg, et al.. (2010). Motoneuronal TASK Channels Contribute to Immobilizing Effects of Inhalational General Anesthetics. Journal of Neuroscience. 30(22). 7691–7704. 61 indexed citations

17.

Chen, Xiangdong, et al.. (2010). Homeostatic Regulation of Synaptic Excitability: Tonic GABA _A Receptor Currents Replace I _h in Cortical Pyramidal Neurons of HCN1 Knock-Out Mice. Journal of Neuroscience. 30(7). 2611–2622. 53 indexed citations

18.

Chen, Xiangdong, Shaofang Shu, & Douglas A. Bayliss. (2009). HCN1 Channel Subunits Are a Molecular Substrate for Hypnotic Actions of Ketamine. Journal of Neuroscience. 29(3). 600–609. 204 indexed citations

19.

Chen, Xiangdong, et al.. (2008). Subunit-Specific Effects of Isoflurane on Neuronal I_h in HCN1 Knockout Mice. Journal of Neurophysiology. 101(1). 129–140. 57 indexed citations

20.

Chen, Xiangdong, Shaofang Shu, & Douglas A. Bayliss. (2005). Suppression of I_h Contributes to Propofol-Induced Inhibition of Mouse Cortical Pyramidal Neurons. Journal of Neurophysiology. 94(6). 3872–3883. 57 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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