Yuting Liu
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- Advanced biosensing and bioanalysis techniques
- Pluripotent Stem Cells Research
Papers in
-
- Epigenetics and DNA Methylation 12
- RNA modifications and cancer 6
- Cancer-related gene regulation 6
- Advanced biosensing and bioanalysis techniques 5
- Wnt/β-catenin signaling in development and cancer 3
- Genomics, phytochemicals, and oxidative stress 3
- Receptor Mechanisms and Signaling 3
- Co-authors
- Yi Zhang (2 shared papers)Li Shen (2 shared papers)Qijun Zhao (4 shared papers)Miaojing Shi (2 shared papers)Xiaofang Wang (1 shared paper)Shinpei Yamaguchi (1 shared paper)Falong Lu (1 shared paper)Azusa Inoue (1 shared paper)
- Journals
- Bone Research (2 papers)Journal of genetics and genomics (2 papers)Agronomy (2 papers)Biosensors and Bioelectronics (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yuting Liu
51 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.1k
- Aging 19
- Computer Vision and Pattern Recognition 230
- Cancer Research 137
- Artificial Intelligence 269
Countries citing papers authored by Yuting Liu
This map shows the geographic impact of Yuting 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 Yuting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Liu more than expected).
Fields of papers citing papers by Yuting Liu
This network shows the impact of papers produced by Yuting 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 Yuting Liu. The network helps show where Yuting Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 211 | |
| 2 | 2014 | 204 | |
| 3 | 2020 | 198 | |
| 4 | 2013 | 195 | |
| 5 | 2019 | 165 | |
| 6 | 2019 | 131 | |
| 7 | 2016 | 58 | |
| 8 | 2016 | 54 | |
| 9 | 2015 | 50 | |
| 10 | 2007 | 44 | |
| 11 | 2022 | 39 | |
| 12 | 2010 | 38 | |
| 13 | 2019 | 37 | |
| 14 | 2016 | 35 | |
| 15 | 2019 | 34 | |
| 16 | 2017 | 32 | |
| 17 | 2014 | 31 | |
| 18 | 2017 | 25 | |
| 19 | 2018 | 23 | |
| 20 | 2021 | 22 |
About Yuting Liu
Yuting Liu is a scholar working on Molecular Biology, Cancer Research, Computer Vision and Pattern Recognition, Electrochemistry and Cell Biology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Video Surveillance and Tracking Methods (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Aging (19 citations), Computer Vision and Pattern Recognition (230 citations), Cancer Research (137 citations) and Artificial Intelligence (269 citations). Yuting Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yi Zhang, Li Shen, Qijun Zhao, Miaojing Shi, Xiaofang Wang, Shinpei Yamaguchi, Falong Lu, Azusa Inoue, Jin He and Quan Yuan. Their work appears in journals such as Bone Research, Journal of genetics and genomics, Agronomy, Biosensors and Bioelectronics and Journal of Biological Chemistry.
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.