Dawo Liu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
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- Glycosylation and Glycoproteins Research 8
- Ubiquitin and proteasome pathways 4
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- Galectins and Cancer Biology 4
- Co-authors
- Bei Lin (29 shared papers)Juanjuan Liu (27 shared papers)Zhenhua Hu (14 shared papers)Liancheng Zhu (16 shared papers)Yingying Hao (12 shared papers)Mingzi Tan (8 shared papers)Jian Gao (7 shared papers)Shulan Zhang (7 shared papers)
In The Last Decade
Dawo Liu
29 papers receiving 660 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 174
- Reproductive Medicine 89
- Immunology 187
- Immunology and Allergy 43
- Molecular Biology 456
Countries citing papers authored by Dawo Liu
This map shows the geographic impact of Dawo 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 Dawo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawo Liu more than expected).
Fields of papers citing papers by Dawo Liu
This network shows the impact of papers produced by Dawo 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 Dawo Liu. The network helps show where Dawo Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawo 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lewis(y) antigen stimulates the growth of ovarian cancer cells via regulation of the epidermal growth factor receptor pathway. | 2010 | 58 |
| 2 | 2014 | 58 | |
| 3 | 2009 | 49 | |
| 4 | 2014 | 47 | |
| 5 | 2014 | 30 | |
| 6 | 2013 | 29 | |
| 7 | 2020 | 29 | |
| 8 | Lewis Y antigen modified CD47 is an independent risk factor for poor prognosis and promotes early ovarian cancer metastasis. | 2015 | 28 |
| 9 | 2014 | 27 | |
| 10 | 2012 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 2013 | 23 | |
| 13 | 2014 | 22 | |
| 14 | 2012 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2013 | 18 | |
| 17 | 2011 | 17 | |
| 18 | 2011 | 17 | |
| 19 | 2017 | 15 | |
| 20 | 2014 | 14 |
About Dawo Liu
Dawo Liu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 665 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Autophagy in Disease and Therapy (5 papers), Galectins and Cancer Biology (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cell Adhesion Molecules Research (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (174 citations), Reproductive Medicine (89 citations), Immunology (187 citations), Immunology and Allergy (43 citations) and Molecular Biology (456 citations). Dawo Liu has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Bei Lin, Juanjuan Liu, Zhenhua Hu, Liancheng Zhu, Yingying Hao, Mingzi Tan, Jian Gao, Shulan Zhang, Masao Iwamori and Huiyu Zhuang. Their work appears in journals such as International Journal of Molecular Sciences, Biochimie, BMC Cancer, Journal of Experimental & Clinical Cancer Research and PLoS ONE.
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.