Han Liu
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Renal and related cancers
Papers in
-
- Ubiquitin and proteasome pathways 22
- RNA modifications and cancer 17
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 11
- Oncology 39
- Co-authors
- Michael J. Clague (11 shared papers)Sylvie Urbé (11 shared papers)Rulang Jiang (17 shared papers)Yu Lan (16 shared papers)Qingyong Ma (12 shared papers)Daniel J. Rigden (4 shared papers)Erxi Wu (11 shared papers)Judy M. Coulson (3 shared papers)
- Journals
- Stem Cell Research (12 papers)Scientific Reports (8 papers)PLoS ONE (8 papers)Developmental Biology (5 papers)Frontiers in Plant Science (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Han Liu
340 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 184
- Cancer Research 1.2k
- Molecular Biology 4.6k
- Oncology 1.3k
- Cell Biology 759
- Neurology 258
Countries citing papers authored by Han Liu
This map shows the geographic impact of Han 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 Han Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Liu more than expected).
Fields of papers citing papers by Han Liu
This network shows the impact of papers produced by Han 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 Han Liu. The network helps show where Han Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 355 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 362 | |
| 2 | 2013 | 268 | |
| 3 | 2001 | 214 | |
| 4 | 2012 | 173 | |
| 5 | 2012 | 163 | |
| 6 | 2014 | 157 | |
| 7 | 2012 | 154 | |
| 8 | 2018 | 149 | |
| 9 | 2010 | 140 | |
| 10 | 2014 | 135 | |
| 11 | 2013 | 134 | |
| 12 | 2007 | 133 | |
| 13 | 2011 | 117 | |
| 14 | 2019 | 116 | |
| 15 | 2012 | 102 | |
| 16 | 2021 | 101 | |
| 17 | 2002 | 100 | |
| 18 | 2019 | 97 | |
| 19 | 2013 | 97 | |
| 20 | 2019 | 96 |
About Han Liu
Han Liu is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Genetics, having authored 355 papers that have together received 9.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), RNA modifications and cancer (17 papers), Autophagy in Disease and Therapy (13 papers), Pluripotent Stem Cells Research (12 papers), MicroRNA in disease regulation (12 papers), Cleft Lip and Palate Research (11 papers), CRISPR and Genetic Engineering (11 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (4.6k citations), Oncology (1.3k citations), Cell Biology (759 citations) and Neurology (258 citations). Han Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael J. Clague, Sylvie Urbé, Rulang Jiang, Yu Lan, Qingyong Ma, Daniel J. Rigden, Erxi Wu, Judy M. Coulson, Qinhong Xu and Igor Barsukov. Their work appears in journals such as Stem Cell Research, Scientific Reports, PLoS ONE, Developmental Biology and Frontiers in Plant Science.
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.