Chuqi Wang

747 citations
15 papers · 606 · 1 hit paper · h-index 7

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Lymphatic System and Diseases
    • Cancer-related Molecular Pathways
    • Extracellular vesicles in disease

Papers in

    • Lymphatic System and Diseases 1
    • CAR-T cell therapy research 1
    • Acute Myeloid Leukemia Research 2

Chuqi Wang

14 papers receiving 595 citations

Chuqi Wang's Hit Papers

CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity 2019 · 437 citations
4370+2+4Years since publication100200300400

Peers

Chuqi Wang
Comparison fields: 5 of 37
  • Oncology 114
  • Molecular Biology 308
  • Hematology 22
  • Biomaterials 16
  • Immunology 15
Replace Elisa Panada with:
Elisa Panada Israel
Thu Le Trinh United States
Xuting Ye China
Dror Alishekevitz Israel
Mei Feng China
Guan Jiang China
Keith Leung United States
Kyle M. Ford United States
Daniel Meraviglia-Crivelli Spain
Eric H.‐B. Huang United States
Chuqi Wang relative to Elisa Panada Israel Elisa Panada's profile →
Citations per field
00.5×2×3.2×
Elisa Panada · 1×
Citations per year

Countries citing papers authored by Chuqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chuqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity
Hit paper breakdown →
2019437
2 202440
3 202332
4 201929
5 202218
6 202314
7 202213
8 20227
9 20245
10 20255
11 20253
12 20231
13 20231
14 20241
15 20220

About Chuqi Wang

Chuqi Wang is a scholar working on Oncology, Hematology, Communication, Molecular Biology and Rheumatology, having authored 15 papers that have together received 606 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Communication and COVID-19 Impact (1 paper), Lymphatic System and Diseases (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Systemic Lupus Erythematosus Research (1 paper), CAR-T cell therapy research (1 paper), Cell death mechanisms and regulation (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Oncology (114 citations), Molecular Biology (308 citations), Hematology (22 citations), Biomaterials (16 citations) and Immunology (15 citations). Chuqi Wang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Shi Hu, Wenyan Fu, Changhai Lei, Fangxing Lin, Yingshu Cui, Shuowu Liu, Min Ding, Xiaoyan Fan, Kewen Qian and Xuting Ye. Their work appears in journals such as Leukemia, Blood, Nature Communications, Frontiers in Oncology and Clinical 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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