Ruby Yun‐Ju Huang

23.8k citations
103 papers · 16.4k indexed · 4 hit papers · h-index 39

Impact in

    • 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
    • Cancer Cells and Metastasis 31
    • Pancreatic and Hepatic Oncology Research 7

Ruby Yun‐Ju Huang

99 papers receiving 16.3k citations

Hit Papers

Dual role of autophagy in hallmarks of cancer 2017 · 444 citations
44420092026201420202.5k5.0k7.5k

Peers

Ruby Yun‐Ju Huang
Comparison fields: 5 of 161
  • Cancer Research 4.8k
  • Oncology 7.2k
  • Molecular Biology 9.8k
  • Cell Biology 1.9k
  • Immunology 1.7k
Replace Ivan Bièche with:
Ivan Bièche France
Weiya Xia United States
Geoffrey J. Lindeman Australia
Hans‐Peter Gerber United States
Joyce M. Slingerland United States
Andrew L. Kung United States
Robert L. Sutherland Australia
Geert Berx Belgium
Andres J. Klein–Szanto United States
Amparo Cano Spain
Ruby Yun‐Ju Huang relative to Ivan Bièche France Ivan Bièche's profile →
Citations per field
00.5×1.5×
Ivan Bièche · 1×
Citations per year

Countries citing papers authored by Ruby Yun‐Ju Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ruby Yun‐Ju Huang Line = papers co-authored together Ruby Yun‐Ju Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 20241
4 20233
5 20231
6 202238
7 202112
8 202112
9 20201
10 202019
11 20201
12 20205
13 202033
14 20207
15 20182
16
Dual role of autophagy in hallmarks of cancer
Hit paper breakdown →
2017444
17
EMT: 2016
Hit paper breakdown →
20163382
18 201420
19 20129
20 201138

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.

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