Shuangyou Liu
- Microbiology top 5%
- Oncology top 10%
- CAR-T cell therapy research 10
- Cancer-related Molecular Pathways 3
- Molecular Medicine top 10%
- Hematology top 10%
- Ecology top 10%
- Bacteriophages and microbial interactions 3
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- Acute Lymphoblastic Leukemia research 8
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- Cell death mechanisms and regulation 3
- Epigenetics and DNA Methylation 2
- Signaling Pathways in Disease 2
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- Parvovirus B19 Infection Studies 2
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shuangyou Liu
30 papers receiving 657 citations
Peers
Comparison fields: 5 of 73
- Microbiology 74
- Oncology 286
- Molecular Medicine 45
- Hematology 90
- Ecology 162
Countries citing papers authored by Shuangyou Liu
This map shows the geographic impact of Shuangyou 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 Shuangyou Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuangyou Liu more than expected).
Fields of papers citing papers by Shuangyou Liu
This network shows the impact of papers produced by Shuangyou 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 Shuangyou Liu. The network helps show where Shuangyou Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuangyou 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 20 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 103 | |
| 6 | 2020 | 1 | |
| 7 | 2018 | 13 | |
| 8 | 2017 | 14 | |
| 9 | 2016 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 26 | |
| 12 | [Association of human parvovirus B19 infection and childhood idiopathic thrombocytopenic purpura: a meta analysis of Chinese literatures]. | 2009 | 3 |
| 13 | [Expression of CD147 and matrix metalloproteinase-9 in children with non-Hodgkin's lymphoma and its correlation with prognosis]. | 2009 | 3 |
| 14 | 2008 | 26 | |
| 15 | 2007 | 10 | |
| 16 | [Expression of survivin and its location in bone marrow cells of childhood acute leukemia: relationship to therapeutic efficacy]. | 2006 | 2 |
| 17 | 2005 | 32 | |
| 18 | 2005 | 8 | |
| 19 | Differential expression of cyclins A, B1, D3 and E in G1 phase of the cell cycle between the synchronized and asynchronously growing MOLT-4 cells. | 2005 | 4 |
| 20 | [Regulation of NF-kappaB/P65 by MDM2 in acute lymphoblastic leukemia in childhood]. | 2003 | 5 |
About Shuangyou Liu
Shuangyou Liu is a scholar working on Oncology, Microbiology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 676 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Acute Lymphoblastic Leukemia research (8 papers), Bacteriophages and microbial interactions (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Parvovirus B19 Infection Studies (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Microbiology (74 citations), Oncology (286 citations) and Molecular Medicine (45 citations). Shuangyou Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuehui Lin, Chunrong Tong, Zhichao Yin, Biping Deng, Jing Pan, Alex H. Chang, Qun Yan, Tong Wu, Ziyong Sun and Li Ding. Their work appears in journals such as Blood, Journal of Nutrition and BMC Cancer.
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.