Tzu‐Ting Huang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 10%
Papers in
-
- DNA Repair Mechanisms 9
- Protein Tyrosine Phosphatases 7
- Oncology 29
- PARP inhibition in cancer therapy 11
- Cytokine Signaling Pathways and Interactions 7
- HER2/EGFR in Cancer Research 5
- Co-authors
- Ling‐Ming Tseng (16 shared papers)Jungmin Lee (3 shared papers)Chun‐Yu Liu (15 shared papers)Erika J. Lampert (2 shared papers)Hsin‐Chen Lee (9 shared papers)Chia‐Han Lee (11 shared papers)Kuo‐Hung Huang (6 shared papers)Kai‐Wen Hsu (5 shared papers)
- Journals
- Cancer Research (6 papers)Oncotarget (4 papers)EBioMedicine (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Tzu‐Ting Huang
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 424
- Biological Psychiatry 61
- Oncology 415
- Molecular Biology 826
- Behavioral Neuroscience 25
Countries citing papers authored by Tzu‐Ting Huang
This map shows the geographic impact of Tzu‐Ting Huang'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 Tzu‐Ting Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu‐Ting Huang more than expected).
Fields of papers citing papers by Tzu‐Ting Huang
This network shows the impact of papers produced by Tzu‐Ting Huang. 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 Tzu‐Ting Huang. The network helps show where Tzu‐Ting Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzu‐Ting Huang, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2022 | 73 | |
| 3 | 2014 | 60 | |
| 4 | 2018 | 56 | |
| 5 | 2017 | 49 | |
| 6 | 2020 | 47 | |
| 7 | 2017 | 45 | |
| 8 | 2015 | 42 | |
| 9 | 2013 | 41 | |
| 10 | 2017 | 40 | |
| 11 | 2016 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2017 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2020 | 34 | |
| 16 | 2011 | 33 | |
| 17 | 2016 | 33 | |
| 18 | 2020 | 31 | |
| 19 | 2020 | 30 | |
| 20 | 2017 | 30 |
About Tzu‐Ting Huang
Tzu‐Ting Huang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (11 papers), DNA Repair Mechanisms (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Protein Tyrosine Phosphatases (7 papers), Cancer Genomics and Diagnostics (6 papers), Breast Cancer Treatment Studies (6 papers), Tryptophan and brain disorders (5 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Cancer Research (424 citations), Biological Psychiatry (61 citations), Oncology (415 citations), Molecular Biology (826 citations) and Behavioral Neuroscience (25 citations). Tzu‐Ting Huang has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Ling‐Ming Tseng, Jungmin Lee, Chun‐Yu Liu, Erika J. Lampert, Hsin‐Chen Lee, Chia‐Han Lee, Kuo‐Hung Huang, Kai‐Wen Hsu, Kuen‐Feng Chen and Chung-Wai Shiau. Their work appears in journals such as Cancer Research, Oncotarget, EBioMedicine, PLoS ONE 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.