Beizhong Liu
- Toxicology top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 6
- Hematology top 10%
- Acute Myeloid Leukemia Research 27
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- Retinoids in leukemia and cellular processes 30
- Ubiquitin and proteasome pathways 7
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress 6
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- Respiratory viral infections research 6
- Pneumonia and Respiratory Infections 6
- Co-authors
- Junqing YangBai‐Cheng HeLiang ZhongChunguang WangTing XuQi‐Xin ZhouXiaoqun YangChong Wang
- Cited by
- ToxicologyCancer ResearchHematology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Oncogene (1 paper)Scientific Reports (3 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Beizhong Liu
103 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Toxicology 70
- Cancer Research 172
- Hematology 99
- Molecular Biology 602
- Biochemistry 41
Countries citing papers authored by Beizhong Liu
This map shows the geographic impact of Beizhong 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 Beizhong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beizhong Liu more than expected).
Fields of papers citing papers by Beizhong Liu
This network shows the impact of papers produced by Beizhong 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 Beizhong Liu. The network helps show where Beizhong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beizhong 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 1 | |
| 16 | 2016 | 6 | |
| 17 | The Effect of Down-regulation of GINS2 on Proliferation and Apoptosis of HL60 Cells | 2013 | 1 |
| 18 | Inhibition of emodin on xenografted human K562 cells in nude mice and regulation on relationship of Caspase-3 and Caspase-9 expression. | 2010 | 1 |
| 19 | Calcium signaling in K562 cells triggered by matrine | 2003 | 1 |
| 20 | Differentiation and Apoptosis in K562 Erythroleukemia Cells Induced by Matrine | 1998 | 1 |
About Beizhong Liu
Beizhong Liu is a scholar working on Hematology, Cancer Research and Toxicology, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (30 papers), Acute Myeloid Leukemia Research (27 papers), MicroRNA in disease regulation (9 papers), Ubiquitin and proteasome pathways (7 papers), Antioxidant Activity and Oxidative Stress (6 papers), Cancer-related molecular mechanisms research (6 papers), Respiratory viral infections research (6 papers) and Pneumonia and Respiratory Infections (6 papers). The work is most often cited by research in Toxicology (70 citations), Cancer Research (172 citations) and Hematology (99 citations). Beizhong Liu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Junqing Yang, Bai‐Cheng He, Liang Zhong, Liang Zhong, Liang Zhong, Chunguang Wang, Ting Xu, Qi‐Xin Zhou, Xiaoqun Yang and Chong Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.
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.