Xueqing Xia

2.8k citations
76 papers · 2.2k indexed · h-index 26

Impact in

  • Oncology top 2%
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Immune Cell Function and Interaction 15
    • Immunotherapy and Immune Responses 13
    • T-cell and B-cell Immunology 6
    • CAR-T cell therapy research 17
    • Cancer Cells and Metastasis 8
    • Cancer Immunotherapy and Biomarkers 8

Xueqing Xia

71 papers receiving 2.1k citations

Peers

Xueqing Xia
Comparison fields: 5 of 115
  • Oncology 1.0k
  • Immunology 733
  • Cancer Research 309
  • Biotechnology 161
  • Genetics 350
Replace Si–Yi Chen with:
Si–Yi Chen United States
Paul Zajac Switzerland
Hua Jiang China
Wouter R. Karthaus United States
Markus Puhlmann United States
Ying Xiang China
Syed R. Husain United States
Hyo Jeong Hong South Korea
Isolda Casanova Spain
Stephen H. Wrzesinski United States
Xueqing Xia relative to Si–Yi Chen United States Si–Yi Chen's profile →
Citations per field
00.5×1.5×2.2×
Si–Yi Chen · 1×
Citations per year

Countries citing papers authored by Xueqing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xueqing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202416
3 202431
4 20240
5 20243
6 202316
7 202213
8 20212
9 201991
10 201862
11 20188
12 201721
13 201728
14 201612
15 2014190
16 2014131
17 20148
18 201219
19 200424
20 199710

About Xueqing Xia

Xueqing Xia is a scholar working on Immunology, Oncology, Biotechnology, Genetics and Genetics, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Immune Cell Function and Interaction (15 papers), Virus-based gene therapy research (13 papers), Immunotherapy and Immune Responses (13 papers), Cancer Cells and Metastasis (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), T-cell and B-cell Immunology (6 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (733 citations), Cancer Research (309 citations), Biotechnology (161 citations) and Genetics (350 citations). Xueqing Xia has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shulin Li, Jiemiao Hu, Abhisek Mitra, Arun Satelli, Jun Yan, Denada Dibra, Jeffry J. Cutrera, Lopa Mishra, Amy B. Heimberger and Ling-Yuan Kong. Their work appears in journals such as Molecular Therapy, Clinical Cancer Research, Nature Communications, Cancer Letters and Cancer Research.

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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