Ying Hsu

916 total citations
28 papers, 660 citations indexed

About

Ying Hsu is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ying Hsu has authored 28 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ying Hsu's work include Genetic and Kidney Cyst Diseases (11 papers), Retinal Development and Disorders (9 papers) and Genetic Syndromes and Imprinting (4 papers). Ying Hsu is often cited by papers focused on Genetic and Kidney Cyst Diseases (11 papers), Retinal Development and Disorders (9 papers) and Genetic Syndromes and Imprinting (4 papers). Ying Hsu collaborates with scholars based in United States, Canada and Singapore. Ying Hsu's co-authors include Andreas A. Linninger, Peter Besmer, Rosemary F. Bachvarova, Alan Packer, David C. Zhu, Hiroshan Hettiarachchi, Val C. Sheffield, Kevin Tangen, Seongjin Seo and Timothy Harris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and FEBS Letters.

In The Last Decade

Ying Hsu

24 papers receiving 652 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 Hsu United States 12 308 240 191 163 106 28 660
C E de Die-Smulders Netherlands 13 272 0.9× 66 0.3× 89 0.5× 266 1.6× 51 0.5× 21 516
Mathieu Dandonneau France 8 673 2.2× 103 0.4× 45 0.2× 376 2.3× 146 1.4× 8 830
Joy B. Redman United States 17 301 1.0× 21 0.1× 119 0.6× 203 1.2× 10 0.1× 27 781
Sylvie Jaillard France 16 435 1.4× 123 0.5× 24 0.1× 397 2.4× 114 1.1× 54 802
Rehae Miller United States 10 325 1.1× 41 0.2× 148 0.8× 86 0.5× 4 0.0× 14 712
Haofeng Zhang China 8 460 1.5× 51 0.2× 45 0.2× 69 0.4× 8 0.1× 20 744
Suzanne C.E.H. Sallevelt Netherlands 15 534 1.7× 24 0.1× 43 0.2× 170 1.0× 11 0.1× 24 772
Gillian M. Clover New Zealand 16 515 1.7× 217 0.9× 197 1.0× 104 0.6× 5 0.0× 22 1.2k
Zöe Powis United States 15 387 1.3× 21 0.1× 61 0.3× 562 3.4× 17 0.2× 34 873
Judy Watson-Johnson United States 6 619 2.0× 39 0.2× 333 1.7× 79 0.5× 4 0.0× 7 756

Countries citing papers authored by Ying Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Hsu. A scholar is included among the top collaborators of Ying 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 Ying Hsu. Ying Hsu 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.
Tseng, Yu‐Chuan, et al.. (2024). Sex-specific correlations between orbital volume and anthropometric characteristics in Taiwanese adults. Journal of Dental Sciences. 20(1). 47–53.
2.
Lewis, Tylor R., Ying Hsu, Hao Ying, et al.. (2024). Contribution of intraflagellar transport to compartmentalization and maintenance of the photoreceptor cell. Proceedings of the National Academy of Sciences. 121(34). e2408551121–e2408551121. 5 indexed citations
3.
Bhattarai, Sajag, et al.. (2024). Investigating the role of Caspase-1 in a mouse model of Juvenile X-linked Retinoschisis. Frontiers in Medicine. 11. 1347599–1347599.
5.
Datta, Poppy, et al.. (2024). Delivering large genes using adeno-associated virus and the CRE-lox DNA recombination system. Human Molecular Genetics. 33(24). 2094–2110. 7 indexed citations
6.
Hsu, Ying, et al.. (2024). The dose-response relationship of subretinal gene therapy with rAAV2tYF-CB-hRS1 in a mouse model of X-linked retinoschisis. Frontiers in Medicine. 11. 1304819–1304819. 2 indexed citations
7.
Wang, Kai, Poppy Datta, Charles Searby, et al.. (2022). Progressive retinal degeneration of rods and cones in a Bardet-Biedl syndrome type 10 mouse model. Disease Models & Mechanisms. 15(9). 8 indexed citations
8.
Guo, Deng‐Fu, Ronald A. Merrill, Ying Hsu, et al.. (2022). The BBSome regulates mitochondria dynamics and function. Molecular Metabolism. 67. 101654–101654. 16 indexed citations
9.
Hsu, Ying, Sajag Bhattarai, Angela Mahoney, et al.. (2022). Subretinal gene therapy delays vision loss in a Bardet-Biedl Syndrome type 10 mouse model. Molecular Therapy — Nucleic Acids. 31. 164–181. 13 indexed citations
10.
Pak, Thomas, Calvin S. Carter, Qihong Zhang, et al.. (2021). A mouse model of Bardet-Biedl Syndrome has impaired fear memory, which is rescued by lithium treatment. PLoS Genetics. 17(4). e1009484–e1009484. 8 indexed citations
11.
Chandra, Bharatendu, et al.. (2021). Retinal ciliopathies through the lens of Bardet-Biedl Syndrome: Past, present and future. Progress in Retinal and Eye Research. 89. 101035–101035. 26 indexed citations
12.
Drack, Arlene V., Sajag Bhattarai, Poppy Datta, et al.. (2020). Retinal degeneration in BBS10 mice is ameliorated by subretinal gene replacement. Investigative Ophthalmology & Visual Science. 61(7). 1914–1914. 1 indexed citations
13.
Hsu, Ying, et al.. (2020). The absence of BBSome function decreases synaptogenesis and causes ectopic synapse formation in the retina. Scientific Reports. 10(1). 8321–8321. 13 indexed citations
14.
Hsu, Ying, Gun‐Hee Kim, Charles Searby, et al.. (2017). BBSome function is required for both the morphogenesis and maintenance of the photoreceptor outer segment. PLoS Genetics. 13(10). e1007057–e1007057. 54 indexed citations
15.
Tangen, Kevin, Ying Hsu, David C. Zhu, & Andreas A. Linninger. (2015). CNS wide simulation of flow resistance and drug transport due to spinal microanatomy. Journal of Biomechanics. 48(10). 2144–2154. 74 indexed citations
16.
Hsu, Ying, Dinh Minh Tran, & Andreas A. Linninger. (2015). Dynamic regulation of aquaporin-4 water channels in neurological disorders. Croatian Medical Journal. 56(5). 401–421. 28 indexed citations
17.
Hsu, Ying & Andreas A. Linninger. (2013). Quantitative Integration of Biological, Pharmacokinetic, and Medical Imaging Data for Organ-Wide Dose-Response Predictions. IEEE Transactions on Biomedical Engineering. 60(3). 625–632. 6 indexed citations
18.
Hsu, Ying, Hiroshan Hettiarachchi, David C. Zhu, & Andreas A. Linninger. (2012). The Frequency and Magnitude of Cerebrospinal Fluid Pulsations Influence Intrathecal Drug Distribution. Anesthesia & Analgesia. 115(2). 386–394. 69 indexed citations
19.
Hettiarachchi, Hiroshan, Ying Hsu, Timothy Harris, & Andreas A. Linninger. (2011). The Effect of Pulsatile Flow on Intrathecal Drug Delivery in the Spinal Canal. Annals of Biomedical Engineering. 39(10). 2592–602. 57 indexed citations
20.
Packer, Alan, Ying Hsu, Peter Besmer, & Rosemary F. Bachvarova. (1994). The Ligand of the c-kit Receptor Promotes Oocyte Growth. Developmental Biology. 161(1). 194–205. 205 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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