Dadi Gao
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
-
- Genetic Neurodegenerative Diseases 5
- Hereditary Neurological Disorders 4
- Co-authors
- John E.J. RaskoWilliam RitchieJeff HolstAnnora ThoengCharles G. BaileyJustin WongRajini NagarajahMichelle van Geldermalsen
- Journals
- Nature Communications (2 papers)Bioinformatics (2 papers)The American Journal of Human Genetics (2 papers)Journal of Hematology & Oncology (2 papers)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Dadi Gao
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 522
- Biochemistry 146
- Molecular Biology 1.1k
- Biotechnology 43
- Immunology 102
Countries citing papers authored by Dadi Gao
This map shows the geographic impact of Dadi Gao'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 Dadi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dadi Gao more than expected).
Fields of papers citing papers by Dadi Gao
This network shows the impact of papers produced by Dadi Gao. 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 Dadi Gao. The network helps show where Dadi Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dadi Gao, 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 | 2025 | 0 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 3 | |
| 7 | 2019 | 26 | |
| 8 | 2018 | 16 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 175 | |
| 11 | 2017 | 76 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 45 | |
| 14 | ASCT2/SLC1A5 controls glutamine uptake and tumour growth in triple-negative basal-like breast cancer Hit paper breakdown → | 2015 | 478 |
| 15 | Inhibition of ASCT2-mediated glutamine uptake blocks prostate cancer growth | 2015 | 2 |
| 16 | 2014 | 32 | |
| 17 | 2013 | 344 | |
| 18 | 2013 | 49 | |
| 19 | 2012 | 27 | |
| 20 | 2012 | 1 |
About Dadi Gao
Dadi Gao is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Biochemistry, Molecular Biology and Neurology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), Genetic Neurodegenerative Diseases (5 papers), Hereditary Neurological Disorders (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Epigenetics and DNA Methylation (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cancer Research (522 citations), Biochemistry (146 citations), Molecular Biology (1.1k citations), Biotechnology (43 citations) and Immunology (102 citations). Dadi Gao has collaborated with scholars based in Australia, United States and France. Frequent co-authors include John E.J. Rasko, William Ritchie, Jeff Holst, Annora Thoeng, Charles G. Bailey, Justin Wong, Rajini Nagarajah, Michelle van Geldermalsen, Natalia Pinello and Robert Middleton. Their work appears in journals such as Nature Communications, Bioinformatics, The American Journal of Human Genetics, Journal of Hematology & Oncology and Scientific Reports.
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.