Ying Si

1.1k total citations
42 papers, 854 citations indexed

About

Ying Si is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Ying Si has authored 42 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Neurology and 9 papers in Genetics. Recurrent topics in Ying Si's work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (8 papers) and RNA Research and Splicing (7 papers). Ying Si is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (8 papers) and RNA Research and Splicing (7 papers). Ying Si collaborates with scholars based in United States, China and Uruguay. Ying Si's co-authors include Peter H. King, Yuri Kwon, Fenny Dane, Lei Zheng, Emiliano Trías, Cankui Zhang, Luis Barbeito, Sofía Ibarburu, Mariángeles Kovacs and Valentina Varela and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Ying Si

38 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Si United States 18 465 216 150 133 112 42 854
Antonietta Notaro Italy 14 318 0.7× 124 0.6× 83 0.6× 45 0.3× 33 0.3× 30 633
Xiaonan Zhu China 18 450 1.0× 86 0.4× 63 0.4× 33 0.2× 49 0.4× 40 768
Ricardo Gargini Spain 22 696 1.5× 104 0.5× 152 1.0× 26 0.2× 57 0.5× 46 1.3k
Joy Mitra United States 19 777 1.7× 497 2.3× 221 1.5× 97 0.7× 12 0.1× 39 1.2k
Wenbo Xu China 14 452 1.0× 102 0.5× 15 0.1× 60 0.5× 167 1.5× 37 1.1k
Shee‐Ping Chen Taiwan 12 242 0.5× 47 0.2× 61 0.4× 31 0.2× 44 0.4× 16 577
Song Shi China 18 634 1.4× 138 0.6× 83 0.6× 33 0.2× 12 0.1× 28 1.0k
Beth Ann Thomas United States 14 432 0.9× 114 0.5× 32 0.2× 29 0.2× 31 0.3× 20 748
Núria Llecha Spain 13 561 1.2× 117 0.5× 34 0.2× 19 0.1× 28 0.3× 15 888
David Baranowski Canada 12 171 0.4× 252 1.2× 80 0.5× 44 0.3× 13 0.1× 15 649

Countries citing papers authored by Ying Si

Since Specialization
Citations

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

Fields of papers citing papers by Ying Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Si

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Si. A scholar is included among the top collaborators of Ying Si 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 Ying Si. Ying Si 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.
Hu, Xianzhen, David K. Crossman, Ying Si, et al.. (2025). Late‐Stage Skeletal Muscle Transcriptome in Duchenne Muscular Dystrophy Shows a BMP4‐Induced Molecular Signature. Journal of Cachexia Sarcopenia and Muscle. 16(4). e70005–e70005. 1 indexed citations
2.
3.
Qin, Hongwu, et al.. (2024). A storage mechanism of data access record on consortium chain based on master-slave blocks. Heliyon. 10(11). e32088–e32088.
4.
Huang, Qiong, Ying Si, & Haoyu Wang. (2024). Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm. International Journal of Advanced Computer Science and Applications. 15(7).
5.
Qin, Hongwu, et al.. (2023). A Query Optimization Method for Blockchain-Based Traceability System. 47. 236–242. 1 indexed citations
6.
Sorge, Robert E., Ying Si, Lyse A. Norian, et al.. (2022). Inhibition of the RNA Regulator HuR by SRI-42127 Attenuates Neuropathic Pain After Nerve Injury Through Suppression of Neuroinflammatory Responses. Neurotherapeutics. 19(5). 1649–1661. 12 indexed citations
7.
Kovacs, Mariángeles, Valentina Varela, Sofía Ibarburu, et al.. (2021). The pathogenic role of c-Kit+ mast cells in the spinal motor neuron-vascular niche in ALS. Acta Neuropathologica Communications. 9(1). 136–136. 12 indexed citations
8.
Ibarburu, Sofía, Mariángeles Kovacs, Valentina Varela, et al.. (2020). A Nitroalkene Benzoic Acid Derivative Targets Reactive Microglia and Prolongs Survival in an Inherited Model of ALS via NF-κB Inhibition. Neurotherapeutics. 18(1). 309–325. 8 indexed citations
9.
Kovacs, Mariángeles, Emiliano Trías, Valentina Varela, et al.. (2019). CD34 Identifies a Subset of Proliferating Microglial Cells Associated with Degenerating Motor Neurons in ALS. International Journal of Molecular Sciences. 20(16). 3880–3880. 10 indexed citations
10.
Trías, Emiliano, Mariángeles Kovacs, Peter H. King, et al.. (2019). Schwann cells orchestrate peripheral nerve inflammation through the expression of CSF1, IL‐34, and SCF in amyotrophic lateral sclerosis. Glia. 68(6). 1165–1181. 46 indexed citations
11.
Trías, Emiliano, Peter H. King, Ying Si, et al.. (2018). Mast cells and neutrophils mediate peripheral motor pathway degeneration in ALS. JCI Insight. 3(19). 102 indexed citations
12.
Si, Ying, et al.. (2018). Muscle microRNA signatures as biomarkers of disease progression in amyotrophic lateral sclerosis. Neurobiology of Disease. 114. 85–94. 36 indexed citations
13.
Si, Ying, Soojin Kim, Xiangqin Cui, et al.. (2015). Transforming Growth Factor Beta (TGF-β) Is a Muscle Biomarker of Disease Progression in ALS and Correlates with Smad Expression. PLoS ONE. 10(9). e0138425–e0138425. 43 indexed citations
14.
Liang, Lu, Lei Zheng, Ying Si, et al.. (2014). Hu Antigen R (HuR) Is a Positive Regulator of the RNA-binding Proteins TDP-43 and FUS/TLS. Journal of Biological Chemistry. 289(46). 31792–31804. 29 indexed citations
15.
Suswam, Esther A., John J. Shacka, Kiera Walker, et al.. (2013). Mutant tristetraprolin: a potent inhibitor of malignant glioma cell growth. Journal of Neuro-Oncology. 113(2). 195–205. 22 indexed citations
16.
Li, Xuelin, Wei‐Jye Lin, Ching‐Yi Chen, et al.. (2012). KSRP: A checkpoint for inflammatory cytokine production in astrocytes. Glia. 60(11). 1773–1784. 40 indexed citations
17.
Sang, Yuying, Robert D. Locy, Leslie R. Goertzen, et al.. (2010). Expression, in vivo localization and phylogenetic analysis of a pyridoxine 5′-phosphate oxidase in Arabidopsis thaliana. Plant Physiology and Biochemistry. 49(1). 88–95. 29 indexed citations
18.
Si, Ying, Fenny Dane, Aaron M. Rashotte, Kwon-Kyoo Kang, & Narendra K. Singh. (2010). Cloning and expression analysis of the Ccrboh gene encoding respiratory burst oxidase in Citrullus colocynthis and grafting onto Citrullus lanatus (watermelon). Journal of Experimental Botany. 61(6). 1635–1642. 34 indexed citations
19.
20.
Wilson, Christopher J., Ying Si, Andrew Smellie, et al.. (2006). Identification of a Small Molecule That Induces Mitotic Arrest Using a Simplified High-Content Screening Assay and Data Analysis Method. SLAS DISCOVERY. 11(1). 21–28. 29 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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