Yu Liu
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Virology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 23
- Bioinformatics and Genomic Networks 10
- Retinoids in leukemia and cellular processes 9
- Epidemiology 36
- Hepatitis B Virus Studies 9
- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Hung‐Ying Kao (15 shared papers)Erin L. Reineke (7 shared papers)Minh Lam (9 shared papers)Mark R. Chance (9 shared papers)Robert T. Jiménez (1 shared paper)Ariella M. Rosengard (1 shared paper)Zhiping Nie (1 shared paper)Ao Li (3 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Frontiers in Immunology (4 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu Liu
206 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 1.9k
- Virology 124
- Cancer Research 294
- Epidemiology 608
- Immunology 381
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 221 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 169 | |
| 2 | 2018 | 145 | |
| 3 | 2012 | 120 | |
| 4 | 2009 | 109 | |
| 5 | 2019 | 90 | |
| 6 | 2012 | 84 | |
| 7 | 2008 | 83 | |
| 8 | 2007 | 80 | |
| 9 | 2016 | 78 | |
| 10 | 2004 | 77 | |
| 11 | 2010 | 73 | |
| 12 | 2021 | 71 | |
| 13 | 2008 | 67 | |
| 14 | 2018 | 66 | |
| 15 | 2012 | 62 | |
| 16 | 2006 | 62 | |
| 17 | 2011 | 60 | |
| 18 | 2014 | 59 | |
| 19 | 2009 | 59 | |
| 20 | 2020 | 56 |
About Yu Liu
Yu Liu is a scholar working on Molecular Biology, Epidemiology, Genetics, Physiology and Oncology, having authored 221 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), Obstructive Sleep Apnea Research (10 papers), Bioinformatics and Genomic Networks (10 papers), Hepatitis B Virus Studies (9 papers), Retinoids in leukemia and cellular processes (9 papers), Genetic Associations and Epidemiology (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and HIV Research and Treatment (8 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Virology (124 citations), Cancer Research (294 citations), Epidemiology (608 citations) and Immunology (381 citations). Yu Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hung‐Ying Kao, Erin L. Reineke, Minh Lam, Mark R. Chance, Robert T. Jiménez, Ariella M. Rosengard, Zhiping Nie, Ao Li, Minghui Wang and Xiaofang Li. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Immunology, Scientific Reports, PLoS ONE and Molecular and Cellular Biology.
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.