Tiffany Hung
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
Papers in
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- Cancer Genomics and Diagnostics 4
- Cancer-related molecular mechanisms research 4
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- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Howard Y. Chang (4 shared papers)David J. Wong (1 shared paper)Marc J. van de Vijver (1 shared paper)Pius Brzoska (1 shared paper)Hugo M. Horlings (1 shared paper)Pedram Argani (1 shared paper)John L. Rinn (1 shared paper)Miao-Chih Tsai (1 shared paper)
- Journals
- Molecular Cell (2 papers)Journal of Thoracic Oncology (2 papers)Cancer Letters (1 paper)Molecular Oncology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Tiffany Hung
9 papers receiving 5.2k citations
Tiffany Hung's Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 4.1k
- Molecular Biology 4.0k
- Endocrinology 111
- Epidemiology 252
- Oncology 159
Countries citing papers authored by Tiffany Hung
This map shows the geographic impact of Tiffany Hung'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 Tiffany Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Hung more than expected).
Fields of papers citing papers by Tiffany Hung
This network shows the impact of papers produced by Tiffany Hung. 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 Tiffany Hung. The network helps show where Tiffany Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiffany Hung, 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 | Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis Hit paper breakdown → | 2010 | 4251 |
| 2 | 2010 | 459 | |
| 3 | 2016 | 188 | |
| 4 | 2009 | 167 | |
| 5 | 2009 | 145 | |
| 6 | 2022 | 11 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 0 |
About Tiffany Hung
Tiffany Hung is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 10 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Cancer Research (4.1k citations), Molecular Biology (4.0k citations), Endocrinology (111 citations), Epidemiology (252 citations) and Oncology (159 citations). Tiffany Hung has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Howard Y. Chang, David J. Wong, Marc J. van de Vijver, Pius Brzoska, Hugo M. Horlings, Pedram Argani, John L. Rinn, Miao-Chih Tsai, Ke Wang and Jeewon Kim. Their work appears in journals such as Molecular Cell, Journal of Thoracic Oncology, Cancer Letters, Molecular Oncology and European Journal of Cancer.
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.