Amy Leung
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 5%
Papers in
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- Epigenetics and DNA Methylation 10
- Pluripotent Stem Cells Research 4
- Retinal Development and Disorders 4
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 8
- Co-authors
- Rama Natarajan (17 shared papers)Dustin E. Schones (12 shared papers)Linda Lanting (6 shared papers)Candi Trac (6 shared papers)Pål Sætrom (2 shared papers)Wen Jin (1 shared paper)Sharon M. Gorski (3 shared papers)Marpadga A. Reddy (5 shared papers)
- Journals
- Blood (4 papers)Stem Cell Reports (3 papers)PLoS ONE (3 papers)Genome Research (2 papers)Epigenetics & Chromatin (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Amy Leung
44 papers receiving 2.3k citations
Amy Leung's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 659
- Aging 43
- Molecular Biology 1.3k
- Immunology 304
- Oncology 359
Countries citing papers authored by Amy Leung
This map shows the geographic impact of Amy Leung'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 Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Leung more than expected).
Fields of papers citing papers by Amy Leung
This network shows the impact of papers produced by Amy Leung. 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 Leung. The network helps show where Amy Leung may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Leung, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neoantigen T-Cell Receptor Gene Therapy in Pancreatic Cancer Hit paper breakdown → | 2022 | 342 |
| 2 | 2013 | 246 | |
| 3 | 2014 | 172 | |
| 4 | 2014 | 155 | |
| 5 | 2008 | 140 | |
| 6 | 2014 | 131 | |
| 7 | 2018 | 110 | |
| 8 | 2013 | 109 | |
| 9 | 2017 | 87 | |
| 10 | 2017 | 75 | |
| 11 | 2016 | 62 | |
| 12 | 2014 | 61 | |
| 13 | 2013 | 52 | |
| 14 | 2020 | 40 | |
| 15 | 2013 | 37 | |
| 16 | 2017 | 34 | |
| 17 | 2014 | 32 | |
| 18 | 2018 | 31 | |
| 19 | 2018 | 29 | |
| 20 | 2018 | 28 |
About Amy Leung
Amy Leung is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Immunology and Genetics, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Cancer-related molecular mechanisms research (8 papers), Pluripotent Stem Cells Research (4 papers), Retinal Development and Disorders (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (4 papers), Retinal Diseases and Treatments (3 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Cancer Research (659 citations), Aging (43 citations), Molecular Biology (1.3k citations), Immunology (304 citations) and Oncology (359 citations). Amy Leung has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rama Natarajan, Dustin E. Schones, Linda Lanting, Candi Trac, Pål Sætrom, Wen Jin, Sharon M. Gorski, Marpadga A. Reddy, Zhuo Chen and Rom S. Leidner. Their work appears in journals such as Blood, Stem Cell Reports, PLoS ONE, Genome Research and Epigenetics & Chromatin.
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.