Ruby Yanru Chen-Tsai
Impact in
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- Innovation and Socioeconomic Development
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- Animal Genetics and Reproduction
- Virus-based gene therapy research
Papers in
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- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Single-cell and spatial transcriptomics 1
- Genetics 6
- Virus-based gene therapy research 6
- Animal Genetics and Reproduction 3
- Co-authors
- Jinxue Ruan (2 shared papers)Kui Li (1 shared paper)Jie Xu (1 shared paper)Qi Zheng (4 shared papers)Ruhong Jiang (3 shared papers)Ling-Jie Kong (3 shared papers)Hegang Li (1 shared paper)Shulin Yang (1 shared paper)
- Journals
- Scientific Reports (2 papers)Transgenic Research (2 papers)Cancer Research (1 paper)PLoS ONE (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ruby Yanru Chen-Tsai
10 papers receiving 299 citations
Peers
Comparison fields: 5 of 75
- Business and International Management 16
- Genetics 176
- Aging 9
- Molecular Biology 230
- Hematology 16
Countries citing papers authored by Ruby Yanru Chen-Tsai
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 97 | |
| 2 | 2017 | 70 | |
| 3 | 2019 | 61 | |
| 4 | 2019 | 36 | |
| 5 | 2021 | 18 | |
| 6 | 2013 | 13 | |
| 7 | 2021 | 8 | |
| 8 | 2018 | 4 | |
| 9 | 2014 | 1 | |
| 10 | 2017 | 1 |
About Ruby Yanru Chen-Tsai
Ruby Yanru Chen-Tsai is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Immunology, having authored 10 papers that have together received 309 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (6 papers), Animal Genetics and Reproduction (3 papers), Pluripotent Stem Cells Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), CAR-T cell therapy research (1 paper), Single-cell and spatial transcriptomics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Business and International Management (16 citations), Genetics (176 citations), Aging (9 citations), Molecular Biology (230 citations) and Hematology (16 citations). Ruby Yanru Chen-Tsai has collaborated with scholars based in China and United States. Frequent co-authors include Jinxue Ruan, Kui Li, Jie Xu, Qi Zheng, Ruhong Jiang, Ling-Jie Kong, Hegang Li, Shulin Yang, Yulian Mu and Rong Zhou. Their work appears in journals such as Scientific Reports, Transgenic Research, Cancer Research, PLoS ONE and Advanced Functional Materials.
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.