Yu Liu
Impact in
-
- Bone health and osteoporosis research
- Oncology top 1%
- Bone health and treatments
Papers in
-
- Circular RNAs in diseases 13
- Congenital heart defects research 10
- Cancer-related gene regulation 10
- Ubiquitin and proteasome pathways 10
- RNA Research and Splicing 9
- Oncology 70
- Co-authors
- E. Michael Lewiecki (2 shared papers)Paul D. Miller (2 shared papers)Michael R. McClung (2 shared papers)Michael A. Bolognese (2 shared papers)Arnold E. Ruoho (1 shared paper)James H. Hurley (1 shared paper)V. Rao (1 shared paper)Javier San Martín (1 shared paper)
- Journals
- PLoS ONE (6 papers)Proceedings of the National Academy of Sciences (5 papers)Life Sciences (5 papers)OncoTargets and Therapy (4 papers)Cell Cycle (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yu Liu
212 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 176
- Orthopedics and Sports Medicine 567
- Oncology 1.7k
- Cancer Research 948
- Molecular Biology 3.2k
- Immunology 557
Countries citing papers authored by Yu Liu
This map shows the geographic impact of Yu 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 Yu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Liu more than expected).
Fields of papers citing papers by Yu Liu
This network shows the impact of papers produced by Yu 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 Yu Liu. The network helps show where Yu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 427 | |
| 2 | 2007 | 249 | |
| 3 | 1997 | 221 | |
| 4 | 2002 | 160 | |
| 5 | 2012 | 156 | |
| 6 | 2007 | 137 | |
| 7 | 2016 | 116 | |
| 8 | 2017 | 100 | |
| 9 | 2015 | 99 | |
| 10 | 2003 | 97 | |
| 11 | 2019 | 92 | |
| 12 | 2022 | 82 | |
| 13 | 2022 | 78 | |
| 14 | 2000 | 78 | |
| 15 | 2000 | 75 | |
| 16 | 2014 | 75 | |
| 17 | 2005 | 69 | |
| 18 | 2008 | 67 | |
| 19 | 2016 | 63 | |
| 20 | 2022 | 63 |
About Yu Liu
Yu Liu is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Immunology, having authored 219 papers that have together received 5.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (20 papers), Circular RNAs in diseases (13 papers), Telomeres, Telomerase, and Senescence (11 papers), Congenital heart defects research (10 papers), Cancer-related gene regulation (10 papers), Ubiquitin and proteasome pathways (10 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (567 citations), Oncology (1.7k citations), Cancer Research (948 citations), Molecular Biology (3.2k citations) and Immunology (557 citations). Yu Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include E. Michael Lewiecki, Paul D. Miller, Michael R. McClung, Michael A. Bolognese, Arnold E. Ruoho, James H. Hurley, V. Rao, Javier San Martín, Beiying Ding and Matthew Austin. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Life Sciences, OncoTargets and Therapy and Cell Cycle.
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.