Yong Zhao

10.9k total citations · 1 hit paper
240 papers, 8.4k citations indexed

About

Yong Zhao is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Yong Zhao has authored 240 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Immunology, 54 papers in Molecular Biology and 37 papers in Surgery. Recurrent topics in Yong Zhao's work include Immune Cell Function and Interaction (58 papers), T-cell and B-cell Immunology (53 papers) and Immune cells in cancer (42 papers). Yong Zhao is often cited by papers focused on Immune Cell Function and Interaction (58 papers), T-cell and B-cell Immunology (53 papers) and Immune cells in cancer (42 papers). Yong Zhao collaborates with scholars based in China, United States and Russia. Yong Zhao's co-authors include Lianjun Zhang, Tao Yang, Linnan Zhu, Guangwei Liu, Megan Sykes, Wenjun Ding, Baojun Zhang, Yang Zhao, Haixia Ma and Fan Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Yong Zhao

230 papers receiving 8.3k citations

Hit Papers

Comprehensive understanding of magnetic hyperthermia for ... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Zhao China 48 3.9k 2.6k 965 956 851 240 8.4k
Di Yu Australia 44 5.9k 1.5× 3.5k 1.4× 644 0.7× 974 1.0× 601 0.7× 111 11.4k
Alexander Brill Israel 34 3.9k 1.0× 2.3k 0.9× 389 0.4× 737 0.8× 620 0.7× 84 8.1k
Michael B. Fischer Austria 48 2.7k 0.7× 3.1k 1.2× 413 0.4× 829 0.9× 715 0.8× 216 8.7k
Irving C. Allen United States 43 3.4k 0.9× 3.8k 1.5× 746 0.8× 487 0.5× 548 0.6× 157 7.7k
Denny Liggitt United States 49 4.7k 1.2× 3.3k 1.3× 701 0.7× 1.6k 1.6× 658 0.8× 111 10.1k
Joost Schalkwijk Netherlands 59 2.6k 0.7× 3.3k 1.3× 458 0.5× 912 1.0× 956 1.1× 259 11.2k
Yoshiko Iwamoto United States 42 4.0k 1.0× 3.0k 1.2× 767 0.8× 1.2k 1.3× 1.1k 1.3× 109 9.6k
Laura Santambrogio United States 51 2.6k 0.7× 2.7k 1.1× 368 0.4× 1.1k 1.2× 734 0.9× 133 7.6k
Yayi Hou China 47 2.9k 0.7× 3.1k 1.2× 410 0.4× 1.1k 1.2× 834 1.0× 260 8.1k
Roosmarijn E. Vandenbroucke Belgium 51 1.6k 0.4× 4.0k 1.5× 901 0.9× 919 1.0× 415 0.5× 139 9.0k

Countries citing papers authored by Yong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Zhao. A scholar is included among the top collaborators of Yong Zhao 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 Yong Zhao. Yong Zhao 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.
Li, Peng, Mengyao Li, Yifan Ma, et al.. (2025). Combining molecular characteristics and therapeutic analysis of PDOs predict clinical responses and guide PDAC personalized treatment. Journal of Experimental & Clinical Cancer Research. 44(1). 72–72. 9 indexed citations
2.
Liu, Quan, et al.. (2025). A Comparison of 3 Minimally Invasive Surgeries for Treating Axillary Osmidrosis. Annals of Plastic Surgery. 95(1). 29–32.
3.
Zhang, Zhecheng, et al.. (2025). Bit Error Rate of Multi-Gaussian Correlated Asymmetric Bessel Beam Through Turbulent Ocean. Photonics. 12(3). 238–238.
4.
Yang, Hui, et al.. (2024). Immune checkpoint inhibitor related myositis: an observational, retrospective, pharmacovigilance study. Expert Opinion on Drug Safety. 24(12). 1415–1420. 4 indexed citations
5.
Guo, Han, et al.. (2023). Multiple Roles of the Stress Sensor GCN2 in Immune Cells. International Journal of Molecular Sciences. 24(5). 4285–4285. 17 indexed citations
6.
Zhang, Zhaoqi, Liang Tan, Fan Yang, et al.. (2022). Skin and heart allograft rejection solely by long-lived alloreactive T RM cells in skin of severe combined immunodeficient mice. Science Advances. 8(4). eabk0270–eabk0270. 21 indexed citations
7.
Wang, Hongxia, Qian Zhang, Jiayu Zhang, et al.. (2021). CD74 regulates cellularity and maturation of medullary thymic epithelial cells partially by activating the canonical NF‐κB signaling pathway. The FASEB Journal. 35(5). e21535–e21535. 5 indexed citations
8.
Zhao, Yong, et al.. (2020). Cutaneous, skin histopathological manifestations and relationship to COVID ‐19 infection patients. Dermatologic Therapy. 33(6). e14157–e14157. 12 indexed citations
9.
Wang, Hongxia, Lei Zheng, Xiao‐Ping Zhong, et al.. (2020). Thymic Epithelial Cells Contribute to Thymopoiesis and T Cell Development. Frontiers in Immunology. 10. 3099–3099. 65 indexed citations
10.
Wang, Wei, et al.. (2019). The regulatory roles of neutrophils in adaptive immunity. Cell Communication and Signaling. 17(1). 147–147. 180 indexed citations
11.
Chen, H., Liang Zhang, Liang Zhang, et al.. (2017). mTORC2 controls Th9 polarization and allergic airway inflammation. Allergy. 72(10). 1510–1520. 24 indexed citations
12.
Hu, Xuelian, Peng Wang, Junfeng Du, et al.. (2016). Phosphatase Wip1 Masters IL-17–producing Neutrophil-mediated Colitis in Mice. Inflammatory Bowel Diseases. 22(6). 1316–1325. 13 indexed citations
13.
Yi, Weiwei, Xuelian Hu, Zhiyang Chen, et al.. (2015). Phosphatase Wip1 controls antigen-independent B-cell development in a p53-dependent manner. Blood. 126(5). 620–628. 33 indexed citations
14.
Li, Ning, Xiaoshuang Wang, Xin Fan, et al.. (2014). Influenza viral neuraminidase primes bacterial coinfection through TGF-β–mediated expression of host cell receptors. Proceedings of the National Academy of Sciences. 112(1). 238–243. 117 indexed citations
15.
Sun, Lina, Lianjun Zhang, Xuelian Hu, et al.. (2013). Phosphatase Wip1 Is Essential for the Maturation and Homeostasis of Medullary Thymic Epithelial Cells in Mice. The Journal of Immunology. 191(6). 3210–3220. 24 indexed citations
16.
Zhao, Yong. (2009). Economic Structure,Policy Different and Business Cycle——Based on the Perspective of Regional Integration. Journal of Shanxi Finance and Economics University. 1 indexed citations
17.
Liu, Yanlong, et al.. (2009). Induction of Foxp3 demethylation increases regulatory CD4+CD25+ T cells and prevents the occurrence of diabetes in mice. Journal of Molecular Medicine. 87(12). 1191–1205. 57 indexed citations
18.
Zheng, Qiwen, et al.. (2008). The Unique Localization of ZFP185 at Uropod of Mouse T Lymphocytes. Scandinavian Journal of Immunology. 67(4). 340–344. 3 indexed citations
19.
Liu, Guangwei, Haixia Ma, You Wu, & Yong Zhao. (2006). The nonopsonic allogeneic cell phagocytosis of macrophages detected by flow cytometry and two photon fluorescence microscope. Transplant Immunology. 16(3-4). 220–226. 6 indexed citations
20.
Zhao, Yong, Kirsten Swenson, Thomas Wekerle, et al.. (2000). The critical role of mouse CD4+cells in the rejection of highly disparate xenogeneic pig thymus grafts. Xenotransplantation. 7(2). 129–137. 16 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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