De Zhou

826 citations
53 papers · 472 · h-index 14

Impact in

Papers in

    • Acute Myeloid Leukemia Research 13
    • Autoimmune and Inflammatory Disorders Research 12
    • Hematopoietic Stem Cell Transplantation 5
    • Immune Cell Function and Interaction 15

De Zhou

50 papers receiving 467 citations

Peers

De Zhou
Comparison fields: 5 of 79
  • Hematology 207
  • Pathology and Forensic Medicine 103
  • Genetics 59
  • Immunology 112
  • Infectious Diseases 74
Replace Simona Lapusan with:
Simona Lapusan France
Daniele Mattei Italy
Hisham Abdel‐Azim United States
Carol Holman United States
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Ivan Moiseev Russia
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De Zhou relative to Simona Lapusan France Simona Lapusan's profile →
Citations per field
00.5×4.1×
Simona Lapusan · 1×
Citations per year

Countries citing papers authored by De Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with De Zhou Line = papers co-authored together De Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201635
2 201732
3 201931
4 201626
5 202025
6 201820
7 201620
8 202218
9 202116
10 201315
11 201315
12 202114
13 201813
14 201213
15
Replacement of conventional doxorubicin by pegylated liposomal doxorubicin in standard RCHOP chemotherapy for elderly diffuse large B-Cell lymphoma: a retrospective study in China.
201513
16 201913
17 202212
18 202012
19 201712
20 202012

About De Zhou

De Zhou is a scholar working on Hematology, Immunology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 53 papers that have together received 472 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Lymphoma Diagnosis and Treatment (15 papers), Acute Myeloid Leukemia Research (13 papers), Autoimmune and Inflammatory Disorders Research (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Viral-associated cancers and disorders (8 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Hematology (207 citations), Pathology and Forensic Medicine (103 citations), Genetics (59 citations), Immunology (112 citations) and Infectious Diseases (74 citations). De Zhou has collaborated with scholars based in China, Sweden and Singapore. Frequent co-authors include Xiujin Ye, Lixia Zhu, Wanzhuo Xie, Jingjing Zhu, Mixue Xie, Mingyu Zhu, Jie Jin, Xianbo Huang, Rongrong Chen and T. Wang. Their work appears in journals such as Blood, Oncotarget, British Journal of Haematology, QJM and Annals of Hematology.

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.

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