Ruby Yanru Chen-Tsai

447 citations
10 papers · 355 · h-index 7

Impact in

Papers in

    • Virus-based gene therapy research 7
    • Animal Genetics and Reproduction 4
    • CRISPR and Genetic Engineering 8
    • Pluripotent Stem Cells Research 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Renal and related cancers 1
    • Hedgehog Signaling Pathway Studies 1

Ruby Yanru Chen-Tsai

10 papers receiving 346 citations

Peers

Ruby Yanru Chen-Tsai
Comparison fields: 5 of 76
  • Business and International Management 16
  • Genetics 191
  • Aging 8
  • Molecular Biology 254
  • Hematology 16
Replace Chengcheng Tang with:
Chengcheng Tang China
Joost van Haasteren Switzerland
Laura P. Spector United States
Elena Senís Germany
Namjin Cho South Korea
Monica F. Sentmanat United States
Zhenzhen Hou China
Bingbing He China
Stefanie Große Germany
Hwangbeom Kim South Korea
Ruby Yanru Chen-Tsai relative to Chengcheng Tang China Chengcheng Tang's profile →
Citations per field
00.5×2×4×5.3×
Chengcheng Tang · 1×
Citations per year

Countries citing papers authored by Ruby Yanru Chen-Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ruby Yanru Chen-Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby Yanru Chen-Tsai. 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 Yanru Chen-Tsai. The network helps show where Ruby Yanru Chen-Tsai may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015109
2 201784
3 201966
4 201942
5 202120
6 201315
7 20218
8 20196
9 20184
10 20141

About Ruby Yanru Chen-Tsai

Ruby Yanru Chen-Tsai is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Oncology, having authored 10 papers that have together received 355 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (7 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Renal and related cancers (1 paper), CAR-T cell therapy research (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Business and International Management (16 citations), Genetics (191 citations), Aging (8 citations), Molecular Biology (254 citations) and Hematology (16 citations). Ruby Yanru Chen-Tsai has collaborated with scholars based in United States and China. Frequent co-authors include Jinxue Ruan, Jie Xu, Kui Li, Ruhong Jiang, Qi Zheng, Ling-Jie Kong, Kui Li, Hegang Li, Tianwen Wu and Yulian Mu. Their work appears in journals such as Scientific Reports, Transgenic Research, PLoS ONE, Advanced Functional Materials and Methods in molecular biology.

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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