Shu Yang

1.5k total citations
74 papers, 1.2k citations indexed

About

Shu Yang is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Shu Yang has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Physiology and 11 papers in Neurology. Recurrent topics in Shu Yang's work include Alzheimer's disease research and treatments (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Gastrointestinal motility and disorders (8 papers). Shu Yang is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Gastrointestinal motility and disorders (8 papers). Shu Yang collaborates with scholars based in China, United States and Denmark. Shu Yang's co-authors include Deshan Zhou, Haimei Sun, Bo Wu, Fengqing Ji, Tingyi Sun, Hong Jin, Yong Tang, Zhao Zhi-gang, Wei Lü and Yaxi Wang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Shu Yang

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Yang China 22 485 208 138 132 115 74 1.2k
Weijiang Zhao China 21 665 1.4× 339 1.6× 171 1.2× 141 1.1× 181 1.6× 86 1.4k
Xiaoyan Zhou China 23 799 1.6× 312 1.5× 122 0.9× 152 1.2× 47 0.4× 55 1.5k
Jin‐Hua Gu China 22 840 1.7× 220 1.1× 311 2.3× 235 1.8× 127 1.1× 70 1.7k
Liang Tao China 24 1.0k 2.2× 227 1.1× 70 0.5× 156 1.2× 111 1.0× 86 1.7k
Y Liu China 21 497 1.0× 190 0.9× 137 1.0× 159 1.2× 135 1.2× 75 1.3k
Majid Momeny Iran 27 1.1k 2.3× 399 1.9× 83 0.6× 138 1.0× 362 3.1× 85 2.1k
Francisco S. Cayabyab Canada 26 935 1.9× 255 1.2× 191 1.4× 274 2.1× 123 1.1× 52 1.9k

Countries citing papers authored by Shu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yang. A scholar is included among the top collaborators of Shu Yang 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 Shu Yang. Shu Yang 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.
Ding, Jinhua, Shu Yang, Xianzhi Meng, et al.. (2025). Borate-assisted alkaline extraction of hemicellulose from switchgrass with enhanced structural stability and purity. International Journal of Biological Macromolecules. 321(Pt 2). 146180–146180. 1 indexed citations
2.
Yu, Yingying, Weixia Zhang, Xunyi Zhang, et al.. (2024). Olfactory toxicity of tetrabromobisphenol A to the goldfish Carassius auratus. Journal of Hazardous Materials. 479. 135661–135661. 7 indexed citations
3.
Liu, Xiaoxi, Stanislav M. Cherepanov, Mehdi Abouzari, et al.. (2024). R150S mutation in the human oxytocin receptor: Gain-of-function effects and implication in autism spectrum disorder. Peptides. 182. 171301–171301.
4.
Zaman, Masihuz, Yingxue Fu, Ping‐Chung Chen, et al.. (2023). Dissecting Detergent-Insoluble Proteome in Alzheimer's Disease by TMTc-Corrected Quantitative Mass Spectrometry. Molecular & Cellular Proteomics. 22(8). 100608–100608. 11 indexed citations
5.
He, Lingling, Fan Xiao, Fuyang Zhang, et al.. (2021). Collagen β(1-O) galactosyltransferase 2 deficiency contributes to lipodystrophy and aggravates NAFLD related to HMW adiponectin in mice. Metabolism. 120. 154777–154777. 8 indexed citations
6.
Chen, Lin, Feng‐lei Chao, Wei Lü, et al.. (2020). Long-Term Running Exercise Delays Age-Related Changes in White Matter in Rats. Frontiers in Aging Neuroscience. 12. 590530–590530. 11 indexed citations
7.
Yang, Shu, et al.. (2019). The chemical biology of apoptosis: Revisited after 17 years. European Journal of Medicinal Chemistry. 177. 63–75. 29 indexed citations
8.
Mi, Jiaqi, Manman Zhao, Shu Yang, et al.. (2016). Pharmacokinetics of H002, a novel S1PR1 modulator, and its metabolites in rat blood using liquid chromatography–tandem mass spectrometry. Acta Pharmaceutica Sinica B. 6(6). 576–583. 4 indexed citations
9.
Zhu, Zhe, et al.. (2016). A Comparative Pharmacokinetic Study of Myrislignan by UHPLC–MS After Oral Administration of a Monomer andMyristica fragransExtract to Rats. Journal of Chromatographic Science. 54(5). 689–696. 8 indexed citations
10.
Yang, Shu, Wenshuai Li, Haimei Sun, et al.. (2015). Resveratrol elicits anti-colorectal cancer effect by activating miR-34c-KITLG in vitro and in vivo. BMC Cancer. 15(1). 969–969. 77 indexed citations
11.
Yang, Shengchun, et al.. (2015). Comparison of ultrasound-assisted cloud point extraction and ultrasound-assisted dispersive liquid liquid microextraction for copper coupled with spectrophotometric determination. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 148. 72–77. 40 indexed citations
12.
Yang, Shu, Wei Lü, Deshan Zhou, & Yong Tang. (2015). Enriched environment increases myelinated fiber volume and length in brain white matter of 18-month female rats. Neuroscience Letters. 593. 66–71. 7 indexed citations
13.
Zhang, Guoquan, et al.. (2014). Expression and possible role of IGF-IR in the mouse gastric myenteric plexus and smooth muscles. Acta Histochemica. 116(5). 788–794. 5 indexed citations
14.
Yang, Shu, Wei Lü, Deshan Zhou, & Yong Tang. (2014). Four-month enriched environment prevents myelinated fiber loss in the white matter during normal aging of male rats. Brain Structure and Function. 220(3). 1263–1272. 6 indexed citations
15.
Yang, Shu, Jinping Hu, & Yan Li. (2013). Simultaneous determination of SYL-1119 and SYL-1119-P in rat plasma using HPLC coupled with tandem mass spectrometry. Journal of Chromatography B. 945-946. 193–198. 1 indexed citations
16.
Yang, Shu, Wei Lü, Deshan Zhou, & Yong Tang. (2012). Enriched Environment and White Matter in Aging Brain. The Anatomical Record. 295(9). 1406–1414. 15 indexed citations
17.
Qiu, Xuan, Wei Lü, Shu Yang, et al.. (2012). Enriched Environment Increases the Myelinated Nerve Fibers of Aged Rat Corpus Callosum. The Anatomical Record. 295(6). 999–1005. 33 indexed citations
18.
Chen, Lin, Wei Lü, Zheng‐Wei Yang, et al.. (2011). Age‐Related Changes of the Oligodendrocytes in Rat Subcortical White Matter. The Anatomical Record. 294(3). 487–493. 13 indexed citations
19.
Yang, Shu, et al.. (2009). The myelinated fiber changes in the white matter of aged female Long‐Evans rats. Journal of Neuroscience Research. 87(7). 1582–1590. 21 indexed citations
20.
Li, Chen, et al.. (2008). Unbiased stereological quantification of unmyelinated fibers in the rat brain white matter. Neuroscience Letters. 437(1). 38–41. 5 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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