Ruby Yu‐Tong Lin
Impact in
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- Cancer-related molecular mechanisms research
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- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Protein Degradation and Inhibitors 2
- Genomics and Chromatin Dynamics 1
- Ubiquitin and proteasome pathways 1
- Gene Regulatory Network Analysis 1
- Oncology 2
- Cancer Cells and Metastasis 1
- Co-authors
- Ye Chen (3 shared papers)Liang Xu (3 shared papers)H. Phillip Koeffler (3 shared papers)Markus Müschen (1 shared paper)Nileshkumar Dubey (4 shared papers)Angela Pang (2 shared papers)Xinyu Ke (2 shared papers)Sigal Gery (2 shared papers)
- Journals
- Oncogene (2 papers)Dental Materials (2 papers)SLAS TECHNOLOGY (1 paper)Nature Communications (1 paper)SmartMat (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Ruby Yu‐Tong Lin
7 papers receiving 128 citations
Peers
Comparison fields: 5 of 38
- Cancer Research 18
- Molecular Biology 85
- Pulmonary and Respiratory Medicine 19
- Oncology 16
- Oral Surgery 4
Countries citing papers authored by Ruby Yu‐Tong Lin
This map shows the geographic impact of Ruby Yu‐Tong Lin'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 Yu‐Tong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby Yu‐Tong Lin more than expected).
Fields of papers citing papers by Ruby Yu‐Tong Lin
This network shows the impact of papers produced by Ruby Yu‐Tong Lin. 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 Yu‐Tong Lin. The network helps show where Ruby Yu‐Tong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby Yu‐Tong Lin, 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 | 2020 | 45 | |
| 2 | 2019 | 43 | |
| 3 | 2021 | 17 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 8 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 |
About Ruby Yu‐Tong Lin
Ruby Yu‐Tong Lin is a scholar working on Molecular Biology, Oncology, Biomaterials, Biomedical Engineering and Automotive Engineering, having authored 7 papers that have together received 130 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), 3D Printing in Biomedical Research (2 papers), Genomics and Chromatin Dynamics (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Ubiquitin and proteasome pathways (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Cancer Cells and Metastasis (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Cancer Research (18 citations), Molecular Biology (85 citations), Pulmonary and Respiratory Medicine (19 citations), Oncology (16 citations) and Oral Surgery (4 citations). Ruby Yu‐Tong Lin has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Ye Chen, Liang Xu, H. Phillip Koeffler, Markus Müschen, Nileshkumar Dubey, Angela Pang, Xinyu Ke, Sigal Gery, Gopu Sriram and Pushkar Dakle. Their work appears in journals such as Oncogene, Dental Materials, SLAS TECHNOLOGY, Nature Communications and SmartMat.
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.