Qing Zhang

6.9k total citations · 1 hit paper
184 papers, 4.9k citations indexed

About

Qing Zhang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Qing Zhang has authored 184 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 51 papers in Oncology and 41 papers in Immunology. Recurrent topics in Qing Zhang's work include CAR-T cell therapy research (22 papers), Immune Cell Function and Interaction (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Qing Zhang is often cited by papers focused on CAR-T cell therapy research (22 papers), Immune Cell Function and Interaction (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Qing Zhang collaborates with scholars based in China, United States and Japan. Qing Zhang's co-authors include Quan Wei, Junnian Zheng, Chenying Fu, Chengqi He, Shiqi Wang, Huizhong Li, Lu Wang, Hongxin Cheng, Lin Xu and Gaiqin Pei and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Qing Zhang

176 papers receiving 4.8k citations

Hit Papers

Signaling pathways and targeted therapy for myocardial in... 2022 2026 2023 2024 2022 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Signaling pathways and targeted therapy for myocardial infarction
    2022 501 citations Qing Zhang, Lu Wang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Zhang China 35 2.0k 1.3k 1.2k 636 449 184 4.9k
Peter Petzelbauer Austria 45 2.0k 1.0× 1.8k 1.4× 1.4k 1.2× 537 0.8× 490 1.1× 146 6.1k
Cong Chen China 31 2.5k 1.2× 946 0.7× 1.1k 0.9× 594 0.9× 433 1.0× 181 4.8k
Bo Wang China 45 3.3k 1.6× 1.2k 0.9× 1.6k 1.3× 1.3k 2.0× 498 1.1× 295 6.6k
Peng Chen China 35 2.1k 1.0× 1.5k 1.2× 1.6k 1.3× 1.1k 1.7× 483 1.1× 279 5.4k
Kun Wang China 39 1.7k 0.8× 593 0.5× 929 0.8× 1.0k 1.6× 576 1.3× 272 5.4k
Éric Boilard Canada 45 3.5k 1.7× 1.7k 1.3× 727 0.6× 1.1k 1.7× 501 1.1× 125 7.1k
Hani El‐Gabalawy Canada 44 1.7k 0.8× 2.0k 1.5× 939 0.8× 435 0.7× 204 0.5× 148 6.8k
Thomas Schwarz Germany 37 1.6k 0.8× 1.7k 1.3× 829 0.7× 394 0.6× 242 0.5× 98 5.3k
Robert A. Swerlick United States 36 1.9k 0.9× 1.6k 1.2× 814 0.7× 552 0.9× 305 0.7× 136 6.0k
Wei Zhang China 34 2.0k 1.0× 754 0.6× 847 0.7× 831 1.3× 594 1.3× 264 4.6k

Countries citing papers authored by Qing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Zhang. A scholar is included among the top collaborators of Qing Zhang 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 Qing Zhang. Qing Zhang 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
1.
Sun, Rui, Tingting Hao, Qing Zhang, et al.. (2025). Establishment and verification of a prognostic signature associated with fatty acid metabolism in endometrial cancer. Molecular Medicine Reports. 31(3). 2 indexed citations
2.
Zhang, Qing, et al.. (2023). Workup of difficult-to-treat asthma: implications from treatable traits. Precision Clinical Medicine. 6(1). pbad003–pbad003. 2 indexed citations
3.
Wang, Yang, Li Chen, Lu Wang, et al.. (2023). Pulsed Electromagnetic Fields Combined With Adipose-Derived Stem Cells Protect Ischemic Myocardium by Regulating miR-20a-5p/E2F1/p73 Signaling. Stem Cells. 41(7). 724–737. 5 indexed citations
4.
5.
Sun, Shishuo, et al.. (2023). Herpes Virus Entry Mediator Costimulation Signaling Enhances CAR T-cell Efficacy Against Solid Tumors Through Metabolic Reprogramming. Cancer Immunology Research. 11(4). 515–529. 12 indexed citations
6.
Mao, Anwei, et al.. (2023). Proteomics Analysis of Polyphyllin D-Treated Triple-Negative Breast Cancer Cells Reveal the Anticancer Mechanisms of Polyphyllin D. Applied Biochemistry and Biotechnology. 196(6). 3148–3161. 1 indexed citations
7.
8.
Zhang, Qing, Li Chen, Liyi Huang, et al.. (2022). CD44 promotes angiogenesis in myocardial infarction through regulating plasma exosome uptake and further enhancing FGFR2 signaling transduction. Molecular Medicine. 28(1). 145–145. 25 indexed citations
9.
10.
Wang, Lu, Shiqi Wang, Qing Zhang, et al.. (2022). The role of the gut microbiota in health and cardiovascular diseases. Molecular Biomedicine. 3(1). 30–30. 72 indexed citations
11.
Huang, Liyi, Xin Sun, Lu Wang, et al.. (2022). Enhanced effect of combining bone marrow mesenchymal stem cells (BMMSCs) and pulsed electromagnetic fields (PEMF) to promote recovery after spinal cord injury in mice. SHILAP Revista de lepidopterología. 3(3). e160–e160. 15 indexed citations
12.
Zhu, Wenbo, Shuai Yuan, Yifei Wang, et al.. (2021). High GNG4 expression is associated with poor prognosis in patients with lung adenocarcinoma. Thoracic Cancer. 13(3). 369–379. 12 indexed citations
13.
Yang, Zhenzhen, Qing Zhang, Huan Yu, et al.. (2020). A Novel COX10 Deletion Polymorphism as a Susceptibility Factor for Sudden Cardiac Death Risk in Chinese Populations. DNA and Cell Biology. 40(1). 10–17. 2 indexed citations
14.
Zhang, Qing, Qihong Li, Jun Zhu, et al.. (2019). Comparison of therapeutic effects of different mesenchymal stem cells on rheumatoid arthritis in mice. PeerJ. 7. e7023–e7023. 39 indexed citations
15.
Zhang, Qing, et al.. (2017). 6MWT Performance and its Correlations with VO2 and Handgrip Strength in Home-Dwelling Mid-Aged and Older Chinese. International Journal of Environmental Research and Public Health. 14(5). 473–473. 35 indexed citations
16.
Yu, Jeffrey, Barry E. Storer, Kushi Kushekhar, et al.. (2016). Biomarker Panel for Chronic Graft-Versus-Host Disease. Journal of Clinical Oncology. 34(22). 2583–2590. 89 indexed citations
17.
18.
Zhang, Qing, et al.. (2014). The RNA recognition motif domains of RBM5 are required for RNA binding and cancer cell proliferation inhibition. Biochemical and Biophysical Research Communications. 444(3). 445–450. 13 indexed citations
19.
Matsumoto, Yasuyuki, Qing Zhang, Kaoru Akita, et al.. (2012). pp-GalNAc-T13 induces high metastatic potential of murine Lewis lung cancer by generating trimeric Tn antigen. Biochemical and Biophysical Research Communications. 419(1). 7–13. 28 indexed citations
20.
Zhang, Qing, Xiujun Liu, Shuangshuang Xu, et al.. (2012). Factor VII Light Chain-Targeted Lidamycin Shows Intensified Therapeutic Efficacy for Liver Cancer. Cancer Biotherapy and Radiopharmaceuticals. 27(6). 384–391. 4 indexed citations

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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