Qunzhou Zhang

5.3k total citations · 2 hit papers
52 papers, 4.2k citations indexed

About

Qunzhou Zhang is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Qunzhou Zhang has authored 52 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 16 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Qunzhou Zhang's work include Mesenchymal stem cell research (15 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Cancer Cells and Metastasis (7 papers). Qunzhou Zhang is often cited by papers focused on Mesenchymal stem cell research (15 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Cancer Cells and Metastasis (7 papers). Qunzhou Zhang collaborates with scholars based in United States, China and Japan. Qunzhou Zhang's co-authors include Anh D. Le, Shihong Shi, Anh D. Lê, Xudong Tang, Songtao Shi, Jettie Uyanne, Yufang Shi, Yi Liu, Zuo‐Feng Zhang and Diana V. Messadi and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Qunzhou Zhang

52 papers receiving 4.1k citations

Hit Papers

align trajectories

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.

Mesenchymal Stem Cells Derived from Human Gingiva Are Capable of Immunomodulatory Functions and Ameliorate Inflammation-Related Tissue Destruction in Experimental Colitis

2009 601 citations Qunzhou Zhang, Shihong Shi et al. The Journal of Immunology profile →
Exosomes from TNF-α-treated human gingiva-derived MSCs enhance M2 macrophage polarization and inhibit periodontal bone loss

2020 348 citations Qunzhou Zhang, Chider Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qunzhou Zhang United States	36	1.6k	1.2k	894	832	649	52	4.2k
Hitoshi Okochi Japan	36	3.1k 1.9×	1.1k 0.9×	612 0.7×	453 0.5×	1.2k 1.9×	108	6.3k
George Bou–Gharios United Kingdom	44	3.4k 2.2×	834 0.7×	565 0.6×	465 0.6×	995 1.5×	158	6.6k
Yong Chan Bae South Korea	29	2.1k 1.3×	2.4k 2.0×	490 0.5×	937 1.1×	1.6k 2.4×	102	4.9k
Katsuto Tamai Japan	32	1.7k 1.1×	731 0.6×	462 0.5×	250 0.3×	517 0.8×	129	3.6k
Sun U. Song South Korea	34	1.3k 0.8×	1.0k 0.9×	423 0.5×	338 0.4×	736 1.1×	92	3.4k
Robert Chunhua Zhao China	46	3.0k 1.9×	2.8k 2.3×	1.1k 1.2×	1.5k 1.8×	1.2k 1.9×	156	6.8k
Karin Stenderup Denmark	18	1.4k 0.9×	1.6k 1.4×	417 0.5×	339 0.4×	866 1.3×	32	3.5k
Michael Januszyk United States	39	1.7k 1.1×	1.3k 1.1×	520 0.6×	431 0.5×	1.4k 2.1×	115	6.2k
Virginia Tirino Italy	44	2.3k 1.5×	1.5k 1.3×	1.6k 1.8×	1.1k 1.3×	952 1.5×	84	5.4k
Franck Verrecchia France	40	3.4k 2.2×	373 0.3×	1.0k 1.2×	816 1.0×	600 0.9×	99	6.2k

Countries citing papers authored by Qunzhou Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Qunzhou Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qunzhou Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qunzhou Zhang. A scholar is included among the top collaborators of Qunzhou 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 Qunzhou Zhang. Qunzhou Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zeng, Jincheng, Shasha Chen, Caihong Li, et al.. (2020). Mesenchymal stem/stromal cells-derived IL-6 promotes nasopharyngeal carcinoma growth and resistance to cisplatin via upregulating CD73 expression. Journal of Cancer. 11(8). 2068–2079. 36 indexed citations

Burrell, Justin C., et al.. (2020). Tissue Engineered Bands of Büngner for Accelerated Motor and Sensory Axonal Outgrowth. Frontiers in Bioengineering and Biotechnology. 8. 580654–580654. 50 indexed citations

Nguyen, Phuong D., et al.. (2018). Gingiva-Derived Mesenchymal Stem Cell-Extracellular Vesicles Activate Schwann Cell Repair Phenotype and Promote Nerve Regeneration. Tissue Engineering Part A. 25(11-12). 887–900. 75 indexed citations

Jiang, Chunmiao, Qunzhou Zhang, Rabie M. Shanti, et al.. (2017). Mesenchymal Stromal Cell-Derived Interleukin-6 Promotes Epithelial–Mesenchymal Transition and Acquisition of Epithelial Stem-Like Cell Properties in Ameloblastoma Epithelial Cells. Stem Cells. 35(9). 2083–2094. 35 indexed citations

Xu, Qilin, Rabie M. Shanti, Qunzhou Zhang, et al.. (2016). A Gingiva-Derived Mesenchymal Stem Cell-Laden Porcine Small Intestinal Submucosa Extracellular Matrix Construct Promotes Myomucosal Regeneration of the Tongue. Tissue Engineering Part A. 23(7-8). 301–312. 26 indexed citations

Xu, Qilin, Qunzhou Zhang, Xudong Tang, et al.. (2016). EGF induces epithelial-mesenchymal transition and cancer stem-like cell properties in human oral cancer cells via promoting Warburg effect. Oncotarget. 8(6). 9557–9571. 91 indexed citations

Zhang, Qunzhou, Ikiru Atsuta, Shiyu Liu, et al.. (2013). IL-17–Mediated M1/M2 Macrophage Alteration Contributes to Pathogenesis of Bisphosphonate-Related Osteonecrosis of the Jaws. Clinical Cancer Research. 19(12). 3176–3188. 134 indexed citations

Li, He, Jingli Shi, Xiangyong Li, et al.. (2013). (−)-Epigallocatechin-3-gallate inhibits human papillomavirus (HPV)-16 oncoprotein-induced angiogenesis in non-small cell lung cancer cells by targeting HIF-1α. Cancer Chemotherapy and Pharmacology. 71(3). 713–725. 43 indexed citations

Wang, Zhen, Dayang Hui, Weihua Yu, et al.. (2011). Ligation of TLR2 and TLR4 on murine bone marrow-derived mesenchymal stem cells triggers differential effects on their immunosuppressive activity. Cellular Immunology. 271(1). 147–156. 56 indexed citations

10.

Zhang, Qunzhou, Andrew L. Nguyen, Shihong Shi, et al.. (2011). Three-Dimensional Spheroid Culture of Human Gingiva-Derived Mesenchymal Stem Cells Enhances Mitigation of Chemotherapy-Induced Oral Mucositis. Stem Cells and Development. 21(6). 937–947. 151 indexed citations

11.

Shi, Jingli, et al.. (2011). Overexpression of human papillomavirus (HPV) type 16 oncoproteins promotes angiogenesis via enhancing HIF-1α and VEGF expression in non-small cell lung cancer cells. Cancer Letters. 311(2). 160–170. 70 indexed citations

12.

Zhang, Qunzhou, Shihong Shi, Yi Liu, et al.. (2010). Mesenchymal stem cells derived from human gingiva are capable of immunomodulatory functions and ameliorate inflammation-related tissue destruction in experimental colitis. The Journal of Immunology. 184(3). 1656–1656. 44 indexed citations

13.

Zhang, Qunzhou, Shihong Shi, Yi Liu, et al.. (2009). Mesenchymal Stem Cells Derived from Human Gingiva Are Capable of Immunomodulatory Functions and Ameliorate Inflammation-Related Tissue Destruction in Experimental Colitis. The Journal of Immunology. 183(12). 7787–7798. 601 indexed citations breakdown →

14.

Zhang, Qunzhou, Takayoshi Yamaza, Audrey Kelly, et al.. (2009). Tumor-Like Stem Cells Derived from Human Keloid Are Governed by the Inflammatory Niche Driven by IL-17/IL-6 Axis. PLoS ONE. 4(11). e7798–e7798. 104 indexed citations

15.

Zhang, Qunzhou, et al.. (2009). A subpopulation of CD133+ cancer stem-like cells characterized in human oral squamous cell carcinoma confer resistance to chemotherapy. Cancer Letters. 289(2). 151–160. 220 indexed citations

16.

Zhang, Qunzhou, Xudong Tang, Qing‐Yi Lu, et al.. (2006). Green tea extract and (-) epigallocatechin-3-gallate inhibit hypoxia- and serum-induced HIF-1 α protein accumulation and VEGF expression in HeLa and HepG2cells. Cancer Research. 66. 533–533. 1 indexed citations

17.

Zhang, Qunzhou, Audrey Kelly, Lina Wang, et al.. (2006). Green Tea Extract and (−)-Epigallocatechin-3-Gallate Inhibit Mast Cell-Stimulated Type I Collagen Expression in Keloid Fibroblasts via Blocking PI-3K/Akt Signaling Pathways. Journal of Investigative Dermatology. 126(12). 2607–2613. 89 indexed citations

18.

Chau, Cindy H., Qunzhou Zhang, Kwang‐Jin Kim, et al.. (2005). Etk/Bmx mediates expression of stress-induced adaptive genes VEGF, PAI-1, and iNOS via multiple signaling cascades in different cell systems. American Journal of Physiology-Cell Physiology. 289(2). C444–C454. 42 indexed citations

19.

Zhang, Qunzhou, Xudong Tang, Qing‐Yi Lu, et al.. (2005). Resveratrol inhibits hypoxia-induced accumulation of hypoxia-inducible factor-1α and VEGF expression in human tongue squamous cell carcinoma and hepatoma cells. Molecular Cancer Therapeutics. 4(10). 1465–1474. 167 indexed citations

20.

Le, Anh D., Qunzhou Zhang, Yidi Wu, et al.. (2004). Elevated Vascular Endothelial Growth Factor in Keloids: Relevance to Tissue Fibrosis. Cells Tissues Organs. 176(1-3). 87–94. 71 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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