Shu Yang

2.6k total citations · 1 hit paper
48 papers, 1.7k citations indexed

About

Shu Yang is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Shu Yang has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Neurology and 14 papers in Genetics. Recurrent topics in Shu Yang's work include Amyotrophic Lateral Sclerosis Research (23 papers), Neurogenetic and Muscular Disorders Research (14 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Shu Yang is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (23 papers), Neurogenetic and Muscular Disorders Research (14 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Shu Yang collaborates with scholars based in Australia, China and United States. Shu Yang's co-authors include Ian P. Blair, Sadaf T. Warraich, Garth A. Nicholson, Julie D. Atkin, Vinod Sundaramoorthy, Mark A. Halloran, Kai Y. Soo, Vita Levina, Manal A. Farg and Anna E. King and has published in prestigious journals such as Chemical Communications, Journal of Controlled Release and Human Molecular Genetics.

In The Last Decade

Shu Yang

42 papers receiving 1.7k citations

Hit Papers

C9ORF72, implicated in amytrophic lateral sclerosis and f... 2014 2026 2018 2022 2014 100 200 300

Peers

Shu Yang
Jacinda B. Sampson United States
Jun Goto Japan
Michael Hsu United States
Cao Huang United States
Siân C. Barber United Kingdom
Shu Yang
Citations per year, relative to Shu Yang Shu Yang (= 1×) peers Jamuna R. Subramaniam

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.
Li, Yinghui, Qian Meng, Peiyu Li, et al.. (2025). Harnessing miRNA therapeutics: a novel approach to combat heart and brain infarctions in atherosclerosis. Cell Death Discovery. 11(1). 482–482.
2.
Thota, Swapna, Rasheedunnisa Begum, Meenakshi Thakur, et al.. (2025). Unraveling the Hsp70-ROS-autophagy axis in pentachlorophenol-challenged lung and liver epithelial cells. Archives of Toxicology. 99(5). 2039–2062.
3.
Ragagnin, Audrey, Sonam Parakh, Kai Y. Soo, et al.. (2024). C9orf72-Associated Dipeptide Repeat Expansions Perturb ER-Golgi Vesicular Trafficking, Inducing Golgi Fragmentation and ER Stress, in ALS/FTD. Molecular Neurobiology. 61(12). 10318–10338. 4 indexed citations
4.
Yang, Shu, et al.. (2023). Epigenetic regulatory mechanism of ADAMTS12 expression in osteoarthritis. Molecular Medicine. 29(1). 86–86. 10 indexed citations
5.
Murray, Helen C., David F. Gordon, Shu Yang, et al.. (2023). Distribution of ubiquilin 2 and TDP‐43 aggregates throughout the CNS in UBQLN2 p.T487I‐linked amyotrophic lateral sclerosis and frontotemporal dementia. Brain Pathology. 34(3). e13230–e13230. 7 indexed citations
6.
Rayner, Stephanie L., Shu Yang, Natalie E. Farrawell, et al.. (2022). TDP-43 is a ubiquitylation substrate of the SCFcyclin F complex. Neurobiology of Disease. 167. 105673–105673. 15 indexed citations
7.
Masud, Mostafa Kamal, Rabbee G. Mahmudunnabi, Claire H. Stevens, et al.. (2020). Sensitive Detection of Motor Neuron Disease Derived Exosomal miRNA Using Electrocatalytic Activity of Gold‐Loaded Superparamagnetic Ferric Oxide Nanocubes. ChemElectroChem. 7(16). 3459–3467. 20 indexed citations
8.
Balez, Rachelle, Tracey Berg, Sonia Sanz Muñoz, et al.. (2020). The mRNA-based reprogramming of fibroblasts from a SOD1E101G familial amyotrophic lateral sclerosis patient to induced pluripotent stem cell line UOWi007. Stem Cell Research. 42. 101701–101701. 3 indexed citations
9.
Halloran, Mark A., Audrey Ragagnin, Marta Vidal, et al.. (2019). Amyotrophic lateral sclerosis-linked UBQLN2 mutants inhibit endoplasmic reticulum to Golgi transport, leading to Golgi fragmentation and ER stress. Cellular and Molecular Life Sciences. 77(19). 3859–3873. 28 indexed citations
11.
Ruan, Weimin, Meng Zheng, Yuanyuan Liu, et al.. (2018). DNA nanoclew templated spherical nucleic acids for siRNA delivery. Chemical Communications. 54(29). 3609–3612. 52 indexed citations
12.
Moujalled, Diane, Alexandra Grubman, Karla Acevedo, et al.. (2017). TDP-43 mutations causing amyotrophic lateral sclerosis are associated with altered expression of RNA-binding protein hnRNP K and affect the Nrf2 antioxidant pathway. Human Molecular Genetics. 26(9). 1732–1746. 62 indexed citations
13.
Yang, Shu, Katharine Y. Zhang, Jennifer A. Fifita, et al.. (2015). Evaluation of Skin Fibroblasts from Amyotrophic Lateral Sclerosis Patients for the Rapid Study of Pathological Features. Neurotoxicity Research. 28(2). 138–146. 23 indexed citations
14.
Yuan, Guiping, Shujun Dai, Zhongqiong Yin, et al.. (2014). Toxicological assessment of combined lead and cadmium: Acute and sub-chronic toxicity study in rats. Food and Chemical Toxicology. 65. 260–268. 158 indexed citations
15.
Farg, Manal A., Vinod Sundaramoorthy, Shu Yang, et al.. (2014). C9ORF72, implicated in amytrophic lateral sclerosis and frontotemporal dementia, regulates endosomal trafficking. Human Molecular Genetics. 23(13). 3579–3595. 377 indexed citations breakdown →
16.
Dai, Shujun, Zhongqiong Yin, Guiping Yuan, et al.. (2013). Quantification of metallothionein on the liver and kidney of rats by subchronic lead and cadmium in combination. Environmental Toxicology and Pharmacology. 36(3). 1207–1216. 51 indexed citations
17.
Yang, Shu, Jennifer A. Fifita, Kelly L. Williams, et al.. (2013). Mutation analysis and immunopathological studies of PFN1 in familial and sporadic amyotrophic lateral sclerosis. Neurobiology of Aging. 34(9). 2235.e7–2235.e10. 18 indexed citations
18.
Minchin, Rodney F. & Shu Yang. (2010). Endosomal disruptors in non-viral gene delivery. Expert Opinion on Drug Delivery. 7(3). 331–339. 20 indexed citations
19.
Yang, Shu, Sadaf T. Warraich, Garth A. Nicholson, & Ian P. Blair. (2010). Fused in sarcoma/translocated in liposarcoma: A multifunctional DNA/RNA binding protein. The International Journal of Biochemistry & Cell Biology. 42(9). 1408–1411. 30 indexed citations
20.
Yang, Shu, et al.. (2008). The characterization of a novel dendritic system for gene delivery by isothermal titration calorimetry. Biopolymers. 90(5). 651–654. 15 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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