Xiaoyang Shan

2.6k total citations · 2 hit papers
21 papers, 2.0k citations indexed

About

Xiaoyang Shan is a scholar working on Organic Chemistry, Molecular Biology and Physiology. According to data from OpenAlex, Xiaoyang Shan has authored 21 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Organic Chemistry, 11 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Xiaoyang Shan's work include Carbohydrate Chemistry and Synthesis (13 papers), Glycosylation and Glycoproteins Research (10 papers) and Lysosomal Storage Disorders Research (6 papers). Xiaoyang Shan is often cited by papers focused on Carbohydrate Chemistry and Synthesis (13 papers), Glycosylation and Glycoproteins Research (10 papers) and Lysosomal Storage Disorders Research (6 papers). Xiaoyang Shan collaborates with scholars based in Canada, United Kingdom and United States. Xiaoyang Shan's co-authors include David J. Vocadlo, Scott A. Yuzwa, Matthew S. Macauley, Keith Vosseller, Yuliya Skorobogatko, Thomas Clark, Yanping Zhu, Ernest J. McEachern, G.J. Davies and Yuan He and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Xiaoyang Shan

21 papers receiving 2.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A potent mechanism-inspired O-GlcNAcase inhibitor that blocks phosphorylation of tau in vivo

2008 553 citations Scott A. Yuzwa, Matthew S. Macauley et al. Nature Chemical Biology profile →
Increasing O-GlcNAc slows neurodegeneration and stabilizes tau against aggregation

2012 467 citations Scott A. Yuzwa, Xiaoyang Shan et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoyang Shan Canada	16	1.5k	914	587	558	173	21	2.0k
Cheng-Xin Gong United States	6	819 0.5×	346 0.4×	474 0.8×	204 0.4×	125 0.7×	8	1.1k
Jessica E. Rexach United States	12	934 0.6×	480 0.5×	191 0.3×	328 0.6×	135 0.8×	21	1.3k
Jianlan Gu China	15	666 0.4×	168 0.2×	557 0.9×	131 0.2×	186 1.1×	34	1.2k
Jennifer L. Furman United States	19	1.1k 0.7×	121 0.1×	724 1.2×	241 0.4×	444 2.6×	28	2.0k
Martin Krüger Germany	13	393 0.3×	255 0.3×	241 0.4×	177 0.3×	199 1.2×	16	1.2k
Yichin Liu United States	21	1.3k 0.9×	145 0.2×	401 0.7×	116 0.2×	259 1.5×	33	2.3k
Vanessa A. Morais Portugal	27	1.7k 1.1×	107 0.1×	653 1.1×	228 0.4×	441 2.5×	56	2.8k
Susan Boyce United Kingdom	18	825 0.5×	153 0.2×	842 1.4×	101 0.2×	627 3.6×	24	2.0k
Stefan von Berg Sweden	16	666 0.4×	218 0.2×	402 0.7×	67 0.1×	230 1.3×	21	1.3k
Zhude Tu United States	33	1.9k 1.3×	507 0.6×	327 0.6×	86 0.2×	817 4.7×	128	3.0k

Countries citing papers authored by Xiaoyang Shan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyang Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Shan. A scholar is included among the top collaborators of Xiaoyang Shan 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 Xiaoyang Shan. Xiaoyang Shan 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

1.

Cecioni, Samy, Roger A. Ashmus, Sha Zhu, et al.. (2022). Quantifying lysosomal glycosidase activity within cells using bis-acetal substrates. Nature Chemical Biology. 18(3). 332–341. 22 indexed citations

2.

Zhu, Yanping, Christina Gros, Na Na, et al.. (2022). A versatile fluorescence-quenched substrate for quantitative measurement of glucocerebrosidase activity within live cells. Proceedings of the National Academy of Sciences. 119(29). e2200553119–e2200553119. 17 indexed citations

3.

Shan, Xiaoyang, et al.. (2020). Selective Fluorogenic β-Glucocerebrosidase Substrates for Convenient Analysis of Enzyme Activity in Cell and Tissue Homogenates. ACS Chemical Biology. 15(4). 824–829. 11 indexed citations

4.

Zandberg, Wesley F., et al.. (2018). Metabolic Inhibitors of O‐GlcNAc Transferase That Act In Vivo Implicate Decreased O‐GlcNAc Levels in Leptin‐Mediated Nutrient Sensing. Angewandte Chemie International Edition. 57(26). 7644–7648. 54 indexed citations

5.

Zandberg, Wesley F., et al.. (2018). Metabolic Inhibitors of O‐GlcNAc Transferase That Act In Vivo Implicate Decreased O‐GlcNAc Levels in Leptin‐Mediated Nutrient Sensing. Angewandte Chemie. 130(26). 7770–7774. 8 indexed citations

6.

Bergeron‐Brlek, Milan, Christian Roth, Wesley F. Zandberg, et al.. (2015). A Convenient Approach to Stereoisomeric Iminocyclitols: Generation of Potent Brain‐Permeable OGA Inhibitors. Angewandte Chemie International Edition. 54(51). 15429–15433. 44 indexed citations

7.

Yadav, Anuj K., David L. Shen, Xiaoyang Shan, et al.. (2015). Fluorescence-Quenched Substrates for Live Cell Imaging of Human Glucocerebrosidase Activity. Journal of the American Chemical Society. 137(3). 1181–1189. 68 indexed citations

8.

Bergeron‐Brlek, Milan, Christian Roth, Wesley F. Zandberg, et al.. (2015). A Convenient Approach to Stereoisomeric Iminocyclitols: Generation of Potent Brain‐Permeable OGA Inhibitors. Angewandte Chemie. 127(51). 15649–15653. 9 indexed citations

9.

Zhu, Yanping, Xiaoyang Shan, Scott A. Yuzwa, & David J. Vocadlo. (2014). The Emerging Link between O-GlcNAc and Alzheimer Disease. Journal of Biological Chemistry. 289(50). 34472–34481. 203 indexed citations

10.

Yuzwa, Scott A., Xiaoyang Shan, Bryan A. Jones, et al.. (2014). Pharmacological inhibition of O-GlcNAcase (OGA) prevents cognitive decline and amyloid plaque formation in bigenic tau/APP mutant mice. Molecular Neurodegeneration. 9(1). 42–42. 116 indexed citations

11.

Yuzwa, Scott A., Xiaoyang Shan, Matthew S. Macauley, et al.. (2012). Increasing O-GlcNAc slows neurodegeneration and stabilizes tau against aggregation. Nature Chemical Biology. 8(4). 393–399. 467 indexed citations breakdown →

12.

Shan, Xiaoyang, David J. Vocadlo, & Charles Krieger. (2012). Reduced protein O-glycosylation in the nervous system of the mutant SOD1 transgenic mouse model of amyotrophic lateral sclerosis. Neuroscience Letters. 516(2). 296–301. 41 indexed citations

13.

Macauley, Matthew S., Xiaoyang Shan, Scott A. Yuzwa, T.M. Gloster, & David J. Vocadlo. (2010). Elevation of Global O-GlcNAc in Rodents Using a Selective O-GlcNAcase Inhibitor Does Not Cause Insulin Resistance or Perturb Glucohomeostasis. Chemistry & Biology. 17(9). 949–958. 64 indexed citations

14.

Shan, Xiaoyang, David J. Vocadlo, & Charles Krieger. (2009). Mislocalization of TDP-43 in the G93A mutant SOD1 transgenic mouse model of ALS. Neuroscience Letters. 458(2). 70–74. 50 indexed citations

15.

Yuzwa, Scott A., Matthew S. Macauley, Julia Heinonen, et al.. (2008). A potent mechanism-inspired O-GlcNAcase inhibitor that blocks phosphorylation of tau in vivo. Nature Chemical Biology. 4(8). 483–490. 553 indexed citations breakdown →

16.

Shan, Xiaoyang, Liying Chi, Chun Luo, et al.. (2007). Manganese superoxide dismutase protects mouse cortical neurons from chronic intermittent hypoxia-mediated oxidative damage. Neurobiology of Disease. 28(2). 206–215. 91 indexed citations

17.

Wilson, J. M. B., Samuel C. Grant, Stephen J. Blackband, et al.. (2007). Magnetic Resonance Microscopy and Immunohistochemistry of the CNS of the Mutant SOD Murine Model of ALS Reveals Widespread Neural Deficits. NeuroMolecular Medicine. 9(3). 216–229. 20 indexed citations

18.

Shan, Xiaoyang, Liying Chi, Michael Bishop, et al.. (2006). Enhanced De Novo Neurogenesis and Dopaminergic Neurogenesis in the Substantia Nigra of 1‐Methyl‐4‐phyenyl‐1,2,3,6‐Tetrahydropyridine‐Induced Parkinson's Disease‐Like Mice. Stem Cells. 24(5). 1280–1287. 108 indexed citations

19.

Shan, Xiaoyang, Jie Hu, Francisco S. Cayabyab, & Charles Krieger. (2005). Increased phospho-adducin immunoreactivity in a murine model of amyotrophic lateral sclerosis. Neuroscience. 134(3). 833–846. 7 indexed citations

20.

Mok, David W. S., Ruth C. Martin, Xiaoyang Shan, & Machteld C. Mok. (2000). Genes Encoding Zeatin O-Glycosyltransferases. Plant Growth Regulation. 32(2-3). 285–287. 13 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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