Yuling Liu
Impact in
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- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Genomics and Phylogenetic Studies 2
- Cancer-related gene regulation 2
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- Wheat and Barley Genetics and Pathology 1
- Co-authors
- Shufang Liang (2 shared papers)Bing Chen (1 shared paper)Xia Zhao (1 shared paper)Xiaoyun Zeng (1 shared paper)Pengbo Yang (1 shared paper)Hude Mao (1 shared paper)Dorna Kashef-Haghighi (1 shared paper)Xiaojun Nie (1 shared paper)
- Journals
- Cerebral Cortex (2 papers)The Journal of Prevention of Alzheimer s Disease (2 papers)LWT (2 papers)Stem Cell Research & Therapy (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuling Liu
24 papers receiving 317 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 56
- Molecular Biology 150
- Plant Science 56
- Agronomy and Crop Science 15
- Oncology 34
Countries citing papers authored by Yuling Liu
This map shows the geographic impact of Yuling 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 Yuling Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Liu more than expected).
Fields of papers citing papers by Yuling Liu
This network shows the impact of papers produced by Yuling 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 Yuling Liu. The network helps show where Yuling Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 52 | |
| 2 | 2013 | 43 | |
| 3 | 2021 | 38 | |
| 4 | 2015 | 36 | |
| 5 | 2015 | 30 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2009 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2018 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Yuling Liu
Yuling Liu is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Epidemiology and Organic Chemistry, having authored 31 papers that have together received 321 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (3 papers), Genomics and Phylogenetic Studies (2 papers), Cancer-related gene regulation (2 papers), Cardiovascular Health and Risk Factors (2 papers), Functional Brain Connectivity Studies (2 papers), Health, Environment, Cognitive Aging (2 papers), Wheat and Barley Genetics and Pathology (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Cancer Research (56 citations), Molecular Biology (150 citations), Plant Science (56 citations), Agronomy and Crop Science (15 citations) and Oncology (34 citations). Yuling Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shufang Liang, Bing Chen, Xia Zhao, Xiaoyun Zeng, Pengbo Yang, Hude Mao, Dorna Kashef-Haghighi, Xiaojun Nie, Xiaojie Wang and Zhensheng Kang. Their work appears in journals such as Cerebral Cortex, The Journal of Prevention of Alzheimer s Disease, LWT, Stem Cell Research & Therapy and The FASEB Journal.
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.