Chia‐Ling Gau
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 5%
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
Papers in
-
- CRISPR and Genetic Engineering 2
- Genetics 6
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 3
- BRCA gene mutations in cancer 2
- Neurogenetic and Muscular Disorders Research 2
- Co-authors
- Fuyuhiko Tamanoi (6 shared papers)Lea Guo (4 shared papers)Holly LaDuca (4 shared papers)Shuwei Li (4 shared papers)Hironori Edamatsu (2 shared papers)Tina Pesaran (5 shared papers)David H. Gutmann (2 shared papers)Elizabeth Chao (3 shared papers)
- Journals
- Genetics in Medicine (2 papers)Molecular Therapy (1 paper)Scientific Reports (1 paper)Molecular Cancer Therapeutics (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSaudi ArabiaFrance
In The Last Decade
Chia‐Ling Gau
16 papers receiving 929 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 205
- Genetics 342
- Pathology and Forensic Medicine 217
- Molecular Biology 532
- Oncology 184
Countries citing papers authored by Chia‐Ling Gau
This map shows the geographic impact of Chia‐Ling Gau'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 Chia‐Ling Gau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ling Gau more than expected).
Fields of papers citing papers by Chia‐Ling Gau
This network shows the impact of papers produced by Chia‐Ling Gau. 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 Chia‐Ling Gau. The network helps show where Chia‐Ling Gau may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Ling Gau, 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 | 2014 | 237 | |
| 2 | 2003 | 126 | |
| 3 | 2017 | 104 | |
| 4 | 2003 | 90 | |
| 5 | 2000 | 90 | |
| 6 | 2004 | 60 | |
| 7 | 2019 | 58 | |
| 8 | 2005 | 43 | |
| 9 | Potentiation of nitric oxide-induced apoptosis of MDA-MB-468 cells by farnesyltransferase inhibitor: implications in breast cancer. | 2001 | 39 |
| 10 | 2009 | 27 | |
| 11 | 2019 | 18 | |
| 12 | 2015 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2006 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2014 | 2 |
About Chia‐Ling Gau
Chia‐Ling Gau is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Cancer Research, having authored 16 papers that have together received 942 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (3 papers), Genetic factors in colorectal cancer (2 papers), BRCA gene mutations in cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Cancer Research (205 citations), Genetics (342 citations), Pathology and Forensic Medicine (217 citations), Molecular Biology (532 citations) and Oncology (184 citations). Chia‐Ling Gau has collaborated with scholars based in United States, Saudi Arabia and France. Frequent co-authors include Fuyuhiko Tamanoi, Lea Guo, Holly LaDuca, Shuwei Li, Hironori Edamatsu, Tina Pesaran, David H. Gutmann, Elizabeth Chao, Erik J. Uhlmann and Virginia Speare. Their work appears in journals such as Genetics in Medicine, Molecular Therapy, Scientific Reports, Molecular Cancer Therapeutics 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.