Ying Liu
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Biological Psychiatry top 2%
Papers in
-
- Developmental Biology and Gene Regulation 15
- RNA Research and Splicing 14
- Circular RNAs in diseases 11
- RNA Interference and Gene Delivery 11
- Mitochondrial Function and Pathology 10
- Physiology 49
- Alzheimer's disease research and treatments 29
- Co-authors
- Cheng‐Xin Gong (6 shared papers)Inge Grundke‐Iqbal (5 shared papers)Khalid Iqbal (5 shared papers)Fei Liu (4 shared papers)Rongqiao He (39 shared papers)Weichuan Mo (16 shared papers)Greti Aguilera (1 shared paper)Yanru Zhang (1 shared paper)
- Journals
- PLoS ONE (7 papers)Animals (5 papers)Journal of Biological Chemistry (4 papers)Biochemical and Biophysical Research Communications (4 papers)Development (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ying Liu
235 papers receiving 7.3k citations
Ying Liu's Hit Papers
Peers
Comparison fields: 5 of 173
- Physiology 2.0k
- Biological Psychiatry 183
- Developmental Neuroscience 289
- Neurology 521
- Cancer Research 942
Countries citing papers authored by Ying Liu
This map shows the geographic impact of Ying 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 Ying Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Liu more than expected).
Fields of papers citing papers by Ying Liu
This network shows the impact of papers produced by Ying 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 Ying Liu. The network helps show where Ying Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 249 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 417 | |
| 2 | 2008 | 302 | |
| 3 | 2016 | 236 | |
| 4 | 2009 | 199 | |
| 5 | 2006 | 168 | |
| 6 | 2008 | 165 | |
| 7 | 2004 | 165 | |
| 8 | 2009 | 160 | |
| 9 | 2011 | 147 | |
| 10 | 1998 | 147 | |
| 11 | 2009 | 145 | |
| 12 | 2015 | 145 | |
| 13 | 2005 | 120 | |
| 14 | 2010 | 119 | |
| 15 | 2007 | 102 | |
| 16 | 2014 | 101 | |
| 17 | 2004 | 96 | |
| 18 | 2011 | 95 | |
| 19 | 2012 | 95 | |
| 20 | 2008 | 90 |
About Ying Liu
Ying Liu is a scholar working on Molecular Biology, Physiology, Cancer Research, Plant Science and Cellular and Molecular Neuroscience, having authored 249 papers that have together received 7.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), MicroRNA in disease regulation (27 papers), Developmental Biology and Gene Regulation (15 papers), RNA Research and Splicing (14 papers), Circular RNAs in diseases (11 papers), RNA Interference and Gene Delivery (11 papers), Mitochondrial Function and Pathology (10 papers) and Neurogenesis and neuroplasticity mechanisms (10 papers). The work is most often cited by research in Physiology (2.0k citations), Biological Psychiatry (183 citations), Developmental Neuroscience (289 citations), Neurology (521 citations) and Cancer Research (942 citations). Ying Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cheng‐Xin Gong, Inge Grundke‐Iqbal, Khalid Iqbal, Fei Liu, Rongqiao He, Weichuan Mo, Greti Aguilera, Yanru Zhang, Xiao Feng and Bao‐Xiang Zhao. Their work appears in journals such as PLoS ONE, Animals, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Development.
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.