Ruby Yun‐Ju Huang
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Oncology top 0.1%
- Cancer Cells and Metastasis
Papers in
-
- Ovarian cancer diagnosis and treatment 21
- Oncology 43
- Cancer Cells and Metastasis 31
- Pancreatic and Hepatic Oncology Research 7
- Co-authors
- Jean Paul ThieryM. Ángela NietoHervé AcloqueRebecca JacksonTuan Zea TanSeiichi MoriJane AntonyParry Guilford
- Journals
- Communications Biology (6 papers)Cancers (5 papers)Scientific Reports (3 papers)Cell (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- SingaporeTaiwanUnited States
In The Last Decade
Ruby Yun‐Ju Huang
99 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 4.8k
- Oncology 7.2k
- Molecular Biology 9.8k
- Cell Biology 1.9k
- Immunology 1.7k
Countries citing papers authored by Ruby Yun‐Ju Huang
This map shows the geographic impact of Ruby Yun‐Ju Huang'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 Yun‐Ju Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby Yun‐Ju Huang more than expected).
Fields of papers citing papers by Ruby Yun‐Ju Huang
This network shows the impact of papers produced by Ruby Yun‐Ju Huang. 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 Yun‐Ju Huang. The network helps show where Ruby Yun‐Ju Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby Yun‐Ju Huang, 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 | 2024 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 38 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 7 | |
| 15 | 2018 | 2 | |
| 16 | Dual role of autophagy in hallmarks of cancer Hit paper breakdown → | 2017 | 444 |
| 17 | EMT: 2016 Hit paper breakdown → | 2016 | 3382 |
| 18 | 2014 | 20 | |
| 19 | 2012 | 9 | |
| 20 | 2011 | 38 |
About Ruby Yun‐Ju Huang
Ruby Yun‐Ju Huang is a scholar working on Reproductive Medicine, Oncology, Cancer Research, Biophysics and Cell Biology, having authored 103 papers that have together received 16.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (31 papers), Ovarian cancer diagnosis and treatment (21 papers), Cancer-related molecular mechanisms research (9 papers), 3D Printing in Biomedical Research (8 papers), Epigenetics and DNA Methylation (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), Cancer Genomics and Diagnostics (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (4.8k citations), Oncology (7.2k citations), Molecular Biology (9.8k citations), Cell Biology (1.9k citations) and Immunology (1.7k citations). Ruby Yun‐Ju Huang has collaborated with scholars based in Singapore, Taiwan and United States. Frequent co-authors include Jean Paul Thiery, M. Ángela Nieto, Hervé Acloque, Rebecca Jackson, Tuan Zea Tan, Seiichi Mori, Jane Antony, Parry Guilford, Qing Hao Miow and Vin Yee Chung. Their work appears in journals such as Communications Biology, Cancers, Scientific Reports, Cell and Journal of Clinical Oncology.
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.