Ruby Hsu

1.7k total citations
9 papers, 1.3k citations indexed

About

Ruby Hsu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ruby Hsu has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ruby Hsu's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Ruby Hsu is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Ruby Hsu collaborates with scholars based in United States, South Africa and Canada. Ruby Hsu's co-authors include Wen‐Sung Lai, Joseph A. Gogos, Maria Karayiorgou, Hui Liu, Anindya Bagchi, Alea A. Mills, Bin Xu, Xiang Wan, Kimberly L. Stark and Paul Pavlidis and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Ruby Hsu

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruby Hsu United States	9	1.0k	495	285	272	109	9	1.3k
Chia-Ho Lin United States	19	2.0k 1.9×	319 0.6×	192 0.7×	259 1.0×	142 1.3×	33	2.4k
Jason L. Nathanson United States	12	830 0.8×	179 0.4×	163 0.6×	269 1.0×	138 1.3×	14	1.3k
Manav Pathania United States	8	594 0.6×	314 0.6×	217 0.8×	205 0.8×	84 0.8×	13	897
Jifang Tao United States	8	1.1k 1.0×	198 0.4×	468 1.6×	147 0.5×	161 1.5×	9	1.3k
Li Ku United States	14	685 0.7×	138 0.3×	292 1.0×	191 0.7×	118 1.1×	19	959
John P. Vessey Canada	18	1.4k 1.3×	158 0.3×	187 0.7×	561 2.1×	83 0.8×	22	1.8k
Yinghua Zhu China	18	964 0.9×	427 0.9×	242 0.8×	499 1.8×	271 2.5×	30	1.7k
Magdalena Dziembowska Poland	17	604 0.6×	201 0.4×	302 1.1×	272 1.0×	189 1.7×	33	1.1k
Filip A. Konopacki United Kingdom	15	681 0.7×	293 0.6×	142 0.5×	430 1.6×	61 0.6×	17	1.1k
Xiaodi Yao United States	8	663 0.7×	145 0.3×	473 1.7×	194 0.7×	199 1.8×	9	907

Countries citing papers authored by Ruby Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Ruby Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruby Hsu

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

All Works

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9 of 9 papers shown

Hsu, Ruby, et al.. (2012). Loss of microRNAs in pyramidal neurons leads to specific changes in inhibitory synaptic transmission in the prefrontal cortex. Molecular and Cellular Neuroscience. 50(3-4). 283–292. 43 indexed citations

Babiarz, Joshua, Ruby Hsu, Collin Melton, et al.. (2011). A role for noncanonical microRNAs in the mammalian brain revealed by phenotypic differences in Dgcr8 versus Dicer1 knockouts and small RNA sequencing. RNA. 17(8). 1489–1501. 96 indexed citations

Schofield, Claude M., Ruby Hsu, Alison J. Barker, et al.. (2011). Monoallelic deletion of the microRNA biogenesis gene Dgcr8 produces deficits in the development of excitatory synaptic transmission in the prefrontal cortex. Neural Development. 6(1). 11–11. 71 indexed citations

Wu, Fangting, Gabriel B. Loeb, Ruby Hsu, et al.. (2009). Up-regulation of miR-21 by HER2/neu Signaling Promotes Cell Invasion. Journal of Biological Chemistry. 284(27). 18515–18524. 165 indexed citations

Stark, Kimberly L., Bin Xu, Anindya Bagchi, et al.. (2008). Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model. Nature Genetics. 40(6). 751–760. 461 indexed citations

Osokine, Ivan, Ruby Hsu, Gabriel B. Loeb, & Michael T. McManus. (2008). Unintentional miRNA Ablation Is a Risk Factor in Gene Knockout Studies: A Short Report. PLoS Genetics. 4(2). e34–e34. 38 indexed citations

Hsu, Ruby, Abigail Woodroffe, Wen‐Sung Lai, et al.. (2007). Nogo Receptor 1 (RTN4R) as a Candidate Gene for Schizophrenia: Analysis Using Human and Mouse Genetic Approaches. PLoS ONE. 2(11). e1234–e1234. 52 indexed citations

Si, Kausik, Maurizio Giustetto, Amit Etkin, et al.. (2003). A Neuronal Isoform of CPEB Regulates Local Protein Synthesis and Stabilizes Synapse-Specific Long-Term Facilitation in Aplysia. Cell. 115(7). 893–904. 324 indexed citations

Hsu, Ruby, Adriana D. Briscoe, Belinda S. W. Chang, & Naomi E. Pierce. (2001). Molecular evolution of a long wavelength-sensitive opsin in mimetic Heliconius butterflies (Lepidoptera: Nymphalidae). Biological Journal of the Linnean Society. 72(3). 435–449. 23 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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