Xueqiang Wu

858 citations
34 papers · 665 indexed · h-index 12
Topics
Immune Cell Function and Interaction (7 papers)Advanced biosensing and bioanalysis techniques (4 papers)T-cell and B-cell Immunology (4 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Xueqiang Wu

31 papers receiving 655 citations

Peers

Xueqiang Wu
Comparison fields: 5 of 102
  • Immunology 289
  • Molecular Biology 204
  • Biomedical Engineering 125
  • Materials Chemistry 82
  • Electronic, Optical and Magnetic Materials 78
Replace Gaoqin Liu with:
Gaoqin Liu China
Guohong Lin China
Maryam Mehrabi Iran
Abhalaxmi Singh India
Wendan Pu China
Chung Hee Sonn South Korea
Melissa D. Howard United States
Yinan Wang China
Laura Pandolfi Italy
Xue Wen China
Xueqiang Wu relative to Gaoqin Liu China Gaoqin Liu's profile →
Citations per field
00.5×1.7×
Gaoqin Liu · 1×
Citations per year

Countries citing papers authored by Xueqiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xueqiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueqiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xueqiang Wu. A scholar is included among the top collaborators of Xueqiang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xueqiang Wu. Xueqiang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 6
5 1
6 11
7 24
8 2
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10 16
11 11
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13 24
14 37
15 2
16 31
17 0
18 232
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[Relationship between V617F mutation and 46/1 haplotype in JAK2 gene in patients with chronic myeloproliferative diseases and frequencies of 46/1 haplotype in different Chinese nationalities].
2
20 7

About Xueqiang Wu

Xueqiang Wu is a scholar working on Genetics, Immunology and Hematology, having authored 34 papers that have together received 665 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (289 citations), Electronic, Optical and Magnetic Materials (78 citations) and Molecular Biology (204 citations). Xueqiang Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Joost J. Oppenheim, Xin Chen, O. M. Zack Howard, Mihai G. Netea, Qiong Zhou, Huaihong Cai, Haibo Zhou, Pinghua Sun, Xia Zhou and Ziwei Hu. Their work appears in journals such as Nature Communications, Blood and The Journal of Immunology.

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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