Xiaoxia Chu

768 citations
30 papers · 393 · h-index 9

Impact in

Papers in

    • Platelet Disorders and Treatments 5
    • Acute Myeloid Leukemia Research 5
    • Blood groups and transfusion 2
    • Multiple Myeloma Research and Treatments 2
    • Lymphoma Diagnosis and Treatment 6

Xiaoxia Chu

27 papers receiving 388 citations

Peers

Xiaoxia Chu
Comparison fields: 5 of 50
  • Hematology 280
  • Pathology and Forensic Medicine 109
  • Genetics 51
  • Immunology and Allergy 25
  • Immunology 69
Replace Cassandra P. Loren with:
Cassandra P. Loren United States
Kausar J. Jabbar United States
Yun Ling China
Vitina Grieco Italy
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Ivan Ivanov United States
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoxia Chu

Since Specialization
Citations

This map shows the geographic impact of Xiaoxia Chu'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 Xiaoxia Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Chu more than expected).

Fields of papers citing papers by Xiaoxia Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoxia Chu. 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 Xiaoxia Chu. The network helps show where Xiaoxia Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoxia Chu, 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 Xiaoxia Chu Line = papers co-authored together Xiaoxia Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006126
2 200784
3 201935
4 202135
5 200823
6 201417
7 201712
8 201912
9 201010
10 20246
11 20165
12
Co-existence of t(9;22) and t(8;21) in primary blast phase of chronic myelogenous leukemia: clinical experience and literature review.
20194
13 20213
14 20203
15
A novel factor X gene mutation Val (GTC) 384Ala (GCC) in a Chinese family resulting in congenital factor X deficiency.
20153
16 20222
17
[Role of dendritic cells and their Toll-like receptor 4 in the pathogenesis of idiopathic thrombocytopenic purpura].
20102
18 20152
19 20241
20 20181

About Xiaoxia Chu

Xiaoxia Chu is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Molecular Biology, having authored 30 papers that have together received 393 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Platelet Disorders and Treatments (5 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Blood groups and transfusion (2 papers), CAR-T cell therapy research (2 papers), Lung Cancer Research Studies (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (280 citations), Pathology and Forensic Medicine (109 citations), Genetics (51 citations), Immunology and Allergy (25 citations) and Immunology (69 citations). Xiaoxia Chu has collaborated with scholars based in China and United States. Frequent co-authors include Ming Hou, Jun Peng, Li-Zhen Li, Lin Wang, Daoxin Ma, Yuanyuan Zhu, Chengshan Guo, Yingxue Wang, Yan Shi and Xiaoqian Liu. Their work appears in journals such as Blood, Scientific Reports, Translational Oncology, Hematological Oncology and Journal of Thrombosis and Haemostasis.

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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