Guan‐Ting Liu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Amyotrophic Lateral Sclerosis Research
Papers in
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- Natural product bioactivities and synthesis 2
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- Amyotrophic Lateral Sclerosis Research 5
- Parkinson's Disease Mechanisms and Treatments 3
- Co-authors
- Chih‐Hsin Tang (3 shared papers)Shih‐Wei Wang (3 shared papers)Hao‐Teng Chang (4 shared papers)Chun‐Hao Tsai (1 shared paper)Huey-En Tzeng (1 shared paper)Yuan‐Li Huang (1 shared paper)Chi‐Shin Hwang (1 shared paper)Margaret Dah‐Tsyr Chang (1 shared paper)
- Journals
- Oncotarget (2 papers)Frontiers in Neuroscience (2 papers)Current Issues in Molecular Biology (2 papers)International Journal of Medical Sciences (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Guan‐Ting Liu
29 papers receiving 448 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 87
- Neurology 58
- Neurology 31
- Oncology 87
- Immunology 61
Countries citing papers authored by Guan‐Ting Liu
This map shows the geographic impact of Guan‐Ting Liu'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 Guan‐Ting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan‐Ting Liu more than expected).
Fields of papers citing papers by Guan‐Ting Liu
This network shows the impact of papers produced by Guan‐Ting Liu. 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 Guan‐Ting Liu. The network helps show where Guan‐Ting Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guan‐Ting Liu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2014 | 61 | |
| 3 | 2016 | 42 | |
| 4 | 2013 | 38 | |
| 5 | 2016 | 32 | |
| 6 | 2016 | 23 | |
| 7 | 2023 | 22 | |
| 8 | 2013 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2018 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 5 |
About Guan‐Ting Liu
Guan‐Ting Liu is a scholar working on Molecular Biology, Neurology, Oncology, Pharmacology and Immunology, having authored 33 papers that have together received 461 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Acupuncture Treatment Research Studies (3 papers), Alzheimer's disease research and treatments (2 papers), Dermatology and Skin Diseases (2 papers), Natural product bioactivities and synthesis (2 papers), Vitamin C and Antioxidants Research (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Cancer Research (87 citations), Neurology (58 citations), Neurology (31 citations), Oncology (87 citations) and Immunology (61 citations). Guan‐Ting Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chih‐Hsin Tang, Shih‐Wei Wang, Hao‐Teng Chang, Chun‐Hao Tsai, Huey-En Tzeng, Yuan‐Li Huang, Chi‐Shin Hwang, Margaret Dah‐Tsyr Chang, Tzu‐Wei Tan and Yi‐Chin Fong. Their work appears in journals such as Oncotarget, Frontiers in Neuroscience, Current Issues in Molecular Biology, International Journal of Medical Sciences and Frontiers in Psychiatry.
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.