Ying Hsu

933 citations
29 papers · 674 · h-index 12

Impact in

Papers in

    • Retinal Development and Disorders 8
    • Hedgehog Signaling Pathway Studies 3
    • CRISPR and Genetic Engineering 3
    • Ion Transport and Channel Regulation 2
    • Genetic and Kidney Cyst Diseases 10
    • Genetic Syndromes and Imprinting 3

Ying Hsu

25 papers receiving 666 citations

Peers

Ying Hsu
Comparison fields: 5 of 77
  • Reproductive Medicine 96
  • Cellular and Molecular Neuroscience 185
  • Public Health, Environmental and Occupational Health 222
  • Genetics 159
  • Neurology 71
Replace C E de Die-Smulders with:
C E de Die-Smulders Netherlands
P. J. McLaughlin United States
Mathieu Dandonneau France
Chiara Pellegrini Switzerland
Sylvie Jaillard France
Joanne A. Cummerson United Kingdom
Osman Demırhan Türkiye
Linda Meredith United Kingdom
Joy B. Redman United States
Yunmin Li United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ying Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Hsu Line = papers co-authored together Ying Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994205
2 201575
3 201272
4 201157
5 201755
6 201639
7 201530
8 202126
9 202218
10 202116
11 202013
12 202213
13 20249
14 20218
15 20228
16 20136
17 19875
18 20245
19 20145
20 20243

About Ying Hsu

Ying Hsu is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 674 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (10 papers), Retinal Development and Disorders (8 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Genetic Syndromes and Imprinting (3 papers), CRISPR and Genetic Engineering (3 papers), Ion Transport and Channel Regulation (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Reproductive Medicine (96 citations), Cellular and Molecular Neuroscience (185 citations), Public Health, Environmental and Occupational Health (222 citations), Genetics (159 citations) and Neurology (71 citations). Ying Hsu has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Andreas A. Linninger, Rosemary F. Bachvarova, Peter Besmer, Alan Packer, David C. Zhu, Hiroshan Hettiarachchi, Val C. Sheffield, Kevin Tangen, Seongjin Seo and Timothy Harris. Their work appears in journals such as Frontiers in Medicine, IEEE Transactions on Biomedical Engineering, PLoS Genetics, Human Molecular Genetics and Investigative Ophthalmology & Visual Science.

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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