De Zhou
Impact in
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
- Acute Myeloid Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 26
- Autoimmune and Inflammatory Disorders Research 12
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 4
-
- Lymphoma Diagnosis and Treatment 13
- Co-authors
- Xiujin Ye (31 shared papers)Lixia Zhu (28 shared papers)Wanzhuo Xie (34 shared papers)Jianai Sun (18 shared papers)Mixue Xie (17 shared papers)Jingjing Zhu (17 shared papers)Mingyu Zhu (10 shared papers)Jie Jin (16 shared papers)
- Journals
- Blood (6 papers)Oncotarget (3 papers)British Journal of Haematology (2 papers)Frontiers in Oncology (2 papers)QJM (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
De Zhou
52 papers receiving 499 citations
Peers
Comparison fields: 5 of 75
- Hematology 200
- Pathology and Forensic Medicine 89
- Genetics 41
- Immunology 77
- Infectious Diseases 52
Countries citing papers authored by De Zhou
This map shows the geographic impact of De Zhou'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 De Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Zhou more than expected).
Fields of papers citing papers by De Zhou
This network shows the impact of papers produced by De Zhou. 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 De Zhou. The network helps show where De Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside De Zhou, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 35 | |
| 2 | 2017 | 33 | |
| 3 | 2019 | 31 | |
| 4 | 2020 | 30 | |
| 5 | 2016 | 28 | |
| 6 | 2022 | 24 | |
| 7 | 2018 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2022 | 13 | |
| 16 | Replacement of conventional doxorubicin by pegylated liposomal doxorubicin in standard RCHOP chemotherapy for elderly diffuse large B-Cell lymphoma: a retrospective study in China. | 2015 | 13 |
| 17 | 2019 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2017 | 12 |
About De Zhou
De Zhou is a scholar working on Hematology, Pathology and Forensic Medicine, Immunology, Genetics and Oncology, having authored 54 papers that have together received 504 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Autoimmune and Inflammatory Disorders Research (12 papers), Immune Cell Function and Interaction (11 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Viral-associated cancers and disorders (6 papers), Retinoids in leukemia and cellular processes (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (200 citations), Pathology and Forensic Medicine (89 citations), Genetics (41 citations), Immunology (77 citations) and Infectious Diseases (52 citations). De Zhou has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiujin Ye, Lixia Zhu, Wanzhuo Xie, Jianai Sun, Mixue Xie, Jingjing Zhu, Mingyu Zhu, Jie Jin, Xianbo Huang and Rongrong Chen. Their work appears in journals such as Blood, Oncotarget, British Journal of Haematology, Frontiers in Oncology and QJM.
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.