Ruby Hsu

1.7k citations
9 papers · 1.3k · h-index 9

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Photosynthetic Processes and Mechanisms 1
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 2

Ruby Hsu

9 papers receiving 1.3k citations

Peers

Ruby Hsu
Comparison fields: 5 of 83
  • Cancer Research 472
  • Developmental Neuroscience 79
  • Cellular and Molecular Neuroscience 263
  • Molecular Biology 969
  • Genetics 269
Replace Ravi Muddashetty with:
Ravi Muddashetty India
Chia-Ho Lin United States
Yinghua Zhu China
Manav Pathania United States
Roberto Fiore Germany
Rebecca L. Pfeiffer United States
Jifang Tao United States
Silvia Bicker Germany
Li Ku United States
John P. Vessey Canada
Ruby Hsu relative to Ravi Muddashetty India Ravi Muddashetty's profile →
Citations per field
00.5×1.5×1.8×
Ravi Muddashetty · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ruby 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 Ruby Hsu Line = papers co-authored together Ruby Hsu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008462
2 2003324
3 2009165
4 201197
5 201170
6 200752
7 201243
8 200838
9 200123

About Ruby Hsu

Ruby Hsu is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (3 papers), Neurobiology and Insect Physiology Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Animal Behavior and Reproduction (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Cancer Research (472 citations), Developmental Neuroscience (79 citations), Cellular and Molecular Neuroscience (263 citations), Molecular Biology (969 citations) and Genetics (269 citations). Ruby Hsu has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Wen‐Sung Lai, Joseph A. Gogos, Alea A. Mills, Bin Xu, Maria Karayiorgou, Paul Pavlidis, Kimberly L. Stark, Anindya Bagchi, Hui Liu and Xiang Wan. Their work appears in journals such as Journal of Biological Chemistry, Biological Journal of the Linnean Society, Cell, PLoS ONE and Neural Development.

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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