Xiaoqi Wang

3.8k citations
80 papers · 1.6k indexed · h-index 21
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation 17
    • Acute Myeloid Leukemia Research 3
  • Immunology top 10%
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 7
  • Oncology top 10%
    • CAR-T cell therapy research 13
    • Mesenchymal stem cell research 9
    • Virus-based gene therapy research 4
    • Diabetes and associated disorders 3

Xiaoqi Wang

71 papers receiving 1.5k citations

Peers

Xiaoqi Wang
Comparison fields: 5 of 149
  • Biological Psychiatry 123
  • Gastroenterology 102
  • Hematology 124
  • Immunology 222
  • Oncology 247
Replace Yuichi Ikeda with:
Yuichi Ikeda Japan
Peter Sundström Sweden
Toshiaki Ishizuka Japan
Andrea Gallo Italy
Sandra Freitag‐Wolf Germany
Zbyněk Tonar Czechia
Hikaru Kobayashi Japan
Martin Schenk Germany
Gong Chen China
Alexander Schwarz Germany
Xiaoqi Wang relative to Yuichi Ikeda Japan Yuichi Ikeda's profile →
Citations per field
00.5×8.8×
Yuichi Ikeda · 1×
Citations per year

Countries citing papers authored by Xiaoqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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13 20229
14 202259
15 202116
16 202122
17 20205
18 201824
19 201432
20
Changes of serum lipid level in patients with acute craniocerebral injury
20071

About Xiaoqi Wang

Xiaoqi Wang is a scholar working on Hematology, Genetics and Oncology, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (12 papers), Mesenchymal stem cell research (9 papers), T-cell and B-cell Immunology (7 papers), Virus-based gene therapy research (4 papers), Diabetes and associated disorders (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Biological Psychiatry (123 citations), Gastroenterology (102 citations) and Hematology (124 citations). Xiaoqi Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xi Zhang, Ruihao Huang, Guangyuan Li, Huanyu Cheng, Phillip Won, Oh‐Jin Kwon, Ke Gao, Shengnan Li, Dong Sup Lee and Woosik Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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