Yanting Luo
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
Papers in
-
- Single-cell and spatial transcriptomics 4
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 2
-
- Cancer Genomics and Diagnostics 1
- MicroRNA in disease regulation 1
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Dongbin Lyu (1 shared paper)Yan Li (1 shared paper)Chunyang Bao (1 shared paper)Guohai Shi (1 shared paper)Xianghuo He (1 shared paper)Shuyi Li (1 shared paper)Weijie Guo (1 shared paper)Shenglin Huang (1 shared paper)
- Journals
- Scientific Reports (1 paper)BMC Genomics (1 paper)PLoS Computational Biology (1 paper)BioMed Research International (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Yanting Luo
8 papers receiving 1.8k citations
Yanting Luo's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 1.5k
- Molecular Biology 1.7k
- Mechanics of Materials 50
- Pathology and Forensic Medicine 31
- Aging 3
Countries citing papers authored by Yanting Luo
This map shows the geographic impact of Yanting Luo'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 Yanting Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanting Luo more than expected).
Fields of papers citing papers by Yanting Luo
This network shows the impact of papers produced by Yanting Luo. 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 Yanting Luo. The network helps show where Yanting Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanting Luo, 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 | Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs Hit paper breakdown → | 2016 | 1644 |
| 2 | 2014 | 64 | |
| 3 | 2020 | 20 | |
| 4 | 2019 | 14 | |
| 5 | 2018 | 13 | |
| 6 | 2021 | 8 | |
| 7 | 2025 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2025 | 0 | |
| 10 | 2013 | 0 |
About Yanting Luo
Yanting Luo is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Neurology, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Epigenetics and DNA Methylation (4 papers), interferon and immune responses (2 papers), RNA Research and Splicing (2 papers), Cancer Genomics and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (1.7k citations), Mechanics of Materials (50 citations), Pathology and Forensic Medicine (31 citations) and Aging (3 citations). Yanting Luo has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Dongbin Lyu, Yan Li, Chunyang Bao, Guohai Shi, Xianghuo He, Shuyi Li, Weijie Guo, Shenglin Huang, Bing Chen and Jianren Gu. Their work appears in journals such as Scientific Reports, BMC Genomics, PLoS Computational Biology, BioMed Research International and Nature Communications.
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.