Ruby Hsu

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

Impact in

Papers in

    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 2
    • Circular RNAs in diseases 3
    • Photosynthetic Processes and Mechanisms 1
    • CRISPR and Genetic Engineering 1
    • RNA Interference and Gene Delivery 1

Ruby Hsu

9 papers receiving 1.3k citations

Peers

Ruby Hsu
Comparison fields: 5 of 85
  • Cancer Research 498
  • Developmental Neuroscience 82
  • Cellular and Molecular Neuroscience 277
  • Molecular Biology 1.0k
  • Genetics 299
Replace Christine M. Kondratick with:
Christine M. Kondratick United States
Ravi Sondekoppa Muddashetty India
Manav Pathania United States
Chia-Ho Lin United States
Roberto Fiore Germany
Jifang Tao United States
Yinghua Zhu China
Rebecca L. Pfeiffer United States
Li Ku United States
Mikihito Shibata Japan
Ruby Hsu relative to Christine M. Kondratick United States Christine M. Kondratick's profile →
Citations per field
00.5×1.5×1.9×
Christine M. Kondratick · 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 2008504
2 2003338
3 2009174
4 201199
5 201174
6 200755
7 201244
8 200838
9 200123

About Ruby Hsu

Ruby Hsu is a scholar working on Cancer Research, Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience 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), Cancer-related molecular mechanisms research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Microtubule and mitosis dynamics (1 paper), Photosynthetic Processes and Mechanisms (1 paper), CRISPR and Genetic Engineering (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cancer Research (498 citations), Developmental Neuroscience (82 citations), Cellular and Molecular Neuroscience (277 citations), Molecular Biology (1.0k citations) and Genetics (299 citations). Ruby Hsu has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Wen‐Sung Lai, Joseph A. Gogos, Bin Xu, Xiang Wan, Kimberly L. Stark, Anindya Bagchi, Alea A. Mills, Maria Karayiorgou, Paul Pavlidis and Hui Liu. Their work appears in journals such as RNA, PLoS Genetics, Biological Journal of the Linnean Society, Neural Development and PLoS ONE.

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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