Ya-Ting Tu
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- RNA Research and Splicing
- Circular RNAs in diseases
- ATP Synthase and ATPases Research
Papers in
-
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Circular RNAs in diseases 2
- Mitochondrial Function and Pathology 2
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Antoni Barrientos (3 shared papers)Flavia Fontanesi (1 shared paper)Alexey Amunts (1 shared paper)Kuo‐Wang Tsai (4 shared papers)Priyanka Maiti (1 shared paper)Hyun Jung Kim (1 shared paper)Ting-Wen Chen (3 shared papers)Sung‐Chou Li (3 shared papers)
- Journals
- Cancers (1 paper)Scientific Reports (1 paper)BMC Genomics (1 paper)American Journal of Dermatopathology (1 paper)Oncology Reports (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Ya-Ting Tu
9 papers receiving 412 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 115
- Molecular Biology 367
- Clinical Biochemistry 17
- Dermatology 11
- Cell Biology 16
Countries citing papers authored by Ya-Ting Tu
This map shows the geographic impact of Ya-Ting Tu'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 Ya-Ting Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Ting Tu more than expected).
Fields of papers citing papers by Ya-Ting Tu
This network shows the impact of papers produced by Ya-Ting Tu. 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 Ya-Ting Tu. The network helps show where Ya-Ting Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Ting Tu, 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 | 2015 | 141 | |
| 2 | 2015 | 97 | |
| 3 | 2016 | 65 | |
| 4 | 2018 | 37 | |
| 5 | 2014 | 26 | |
| 6 | 2013 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2008 | 11 | |
| 9 | 2011 | 7 |
About Ya-Ting Tu
Ya-Ting Tu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Dermatology and Genetics, having authored 9 papers that have together received 413 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Nonmelanoma Skin Cancer Studies (2 papers), Circular RNAs in diseases (2 papers), Mitochondrial Function and Pathology (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Cancer Research (115 citations), Molecular Biology (367 citations), Clinical Biochemistry (17 citations), Dermatology (11 citations) and Cell Biology (16 citations). Ya-Ting Tu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Antoni Barrientos, Flavia Fontanesi, Alexey Amunts, Kuo‐Wang Tsai, Priyanka Maiti, Hyun Jung Kim, Ting-Wen Chen, Sung‐Chou Li, Hing‐Chung Lam and Wei-Shone Chen. Their work appears in journals such as Cancers, Scientific Reports, BMC Genomics, American Journal of Dermatopathology and Oncology 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.