Amy Au
Impact in
- Aging top 5%
- Cancer Research top 5%
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 2
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- Telomeres, Telomerase, and Senescence 6
- Co-authors
- Roger R. Reddel (5 shared papers)Jeremy D. Henson (3 shared papers)Hilda A. Pickett (3 shared papers)Justin Wong (5 shared papers)John E.J. Rasko (5 shared papers)William Ritchie (3 shared papers)Lily I. Huschtscha (2 shared papers)Ying Cao (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Nucleic Acids Research (2 papers)Endocrine Related Cancer (2 papers)Clinical Cancer Research (1 paper)BioTechniques (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Amy Au
23 papers receiving 1.9k citations
Amy Au's Hit Papers
Peers
Comparison fields: 5 of 91
- Aging 59
- Cancer Research 328
- Physiology 478
- Molecular Biology 1.2k
- Physiology 67
Countries citing papers authored by Amy Au
This map shows the geographic impact of Amy Au'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 Amy Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Au more than expected).
Fields of papers citing papers by Amy Au
This network shows the impact of papers produced by Amy Au. 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 Amy Au. The network helps show where Amy Au may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Au, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 status determines the role of autophagy in pancreatic tumour development Hit paper breakdown → | 2013 | 577 |
| 2 | 2009 | 362 | |
| 3 | 2017 | 178 | |
| 4 | 2015 | 146 | |
| 5 | 2006 | 107 | |
| 6 | 2011 | 80 | |
| 7 | 2003 | 66 | |
| 8 | 2012 | 59 | |
| 9 | 2013 | 53 | |
| 10 | 2005 | 52 | |
| 11 | 2016 | 47 | |
| 12 | 2007 | 43 | |
| 13 | 2008 | 43 | |
| 14 | 2012 | 28 | |
| 15 | 2006 | 25 | |
| 16 | 2020 | 19 | |
| 17 | 2010 | 15 | |
| 18 | 2011 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2023 | 9 |
About Amy Au
Amy Au is a scholar working on Molecular Biology, Physiology, Surgery, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Ovarian cancer diagnosis and treatment (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Aging (59 citations), Cancer Research (328 citations), Physiology (478 citations), Molecular Biology (1.2k citations) and Physiology (67 citations). Amy Au has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Roger R. Reddel, Jeremy D. Henson, Hilda A. Pickett, Justin Wong, John E.J. Rasko, William Ritchie, Lily I. Huschtscha, Ying Cao, Andy Chang and Liang Zheng. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Nucleic Acids Research, Endocrine Related Cancer, Clinical Cancer Research and BioTechniques.
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.