Zhao Cui

4.4k total citations · 1 hit paper
143 papers, 2.9k citations indexed

About

Zhao Cui is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Zhao Cui has authored 143 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Nephrology, 70 papers in Pulmonary and Respiratory Medicine and 38 papers in Immunology. Recurrent topics in Zhao Cui's work include Renal Diseases and Glomerulopathies (85 papers), Vasculitis and related conditions (66 papers) and Cell Adhesion Molecules Research (29 papers). Zhao Cui is often cited by papers focused on Renal Diseases and Glomerulopathies (85 papers), Vasculitis and related conditions (66 papers) and Cell Adhesion Molecules Research (29 papers). Zhao Cui collaborates with scholars based in China, United States and Romania. Zhao Cui's co-authors include Ming‐Hui Zhao, Xiaoyu Jia, Rui Yang, Juan Zhao, Thomas Hellmark, Zhen Qu, Gang Liu, Mårten Segelmark, Shui‐yi Hu and H.-y. Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zhao Cui

136 papers receiving 2.8k citations

Hit Papers

Organ-on-a-chip meets artificial intelligence in drug eva... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhao Cui China 35 1.7k 1.4k 807 661 437 143 2.9k
Joshua D. Ooi Australia 31 644 0.4× 1.0k 0.7× 698 0.9× 1.5k 2.3× 261 0.6× 85 2.7k
Emmanuelle Plaisier France 25 924 0.5× 450 0.3× 623 0.8× 162 0.2× 351 0.8× 58 2.3k
William F. Pendergraft United States 25 335 0.2× 913 0.6× 394 0.5× 758 1.1× 324 0.7× 43 1.9k
Yasunori Utsunomiya Japan 26 776 0.4× 238 0.2× 785 1.0× 326 0.5× 224 0.5× 92 2.0k
Jeroen K. Deegens Netherlands 25 1.2k 0.7× 352 0.2× 981 1.2× 199 0.3× 173 0.4× 46 2.1k
Renée Habib France 18 1.2k 0.7× 630 0.4× 1.0k 1.3× 272 0.4× 155 0.4× 25 2.4k
Solange Moll Switzerland 24 477 0.3× 236 0.2× 492 0.6× 491 0.7× 69 0.2× 81 1.8k
Dil Sahali France 23 792 0.5× 322 0.2× 435 0.5× 276 0.4× 304 0.7× 59 1.5k
Sylvain Audia France 28 126 0.1× 518 0.4× 201 0.2× 787 1.2× 416 1.0× 127 2.6k
Patrizia Noris Italy 36 230 0.1× 560 0.4× 300 0.4× 314 0.5× 647 1.5× 91 2.9k

Countries citing papers authored by Zhao Cui

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Cui. A scholar is included among the top collaborators of Zhao Cui 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 Zhao Cui. Zhao Cui 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.
Zhou, Aiping, Zheng Li, Yihong Sun, et al.. (2025). LBA84 Efficacy and safety of GFH375 monotherapy in previously treated advanced KRAS G12D-mutant pancreatic ductal adenocarcinoma (PDAC). Annals of Oncology. 36. S1626–S1626.
2.
Huang, Wei-Feng, Chao Wang, Yifei Wang, et al.. (2025). Harnessing the innate immune system: a novel bispecific antibody targeting CD47 and CD24 for selective tumor clearance. Journal for ImmunoTherapy of Cancer. 13(12). e013283–e013283.
3.
Jia, Xiao, Zhao Cui, Xiaojuan Yu, et al.. (2025). Perlecan is a novel target of autoantibodies in anti-glomerular basement membrane disease. Nephrology Dialysis Transplantation. 41(1). 55–66. 1 indexed citations
5.
Jia, Xiaoyu, Shu‐Feng Zhou, Xiaojuan Yu, et al.. (2023). Primary membranous nephropathy in two siblings with one combined with anti-glomerular basement membrane disease: a case report. BMC Nephrology. 24(1). 183–183. 1 indexed citations
6.
Deng, Shiwen, Caifeng Li, Junqi Chen, et al.. (2023). Effects of triclosan exposure on stem cells from human exfoliated deciduous teeth (SHED) fate. The Science of The Total Environment. 905. 167053–167053. 5 indexed citations
7.
Deng, Shiwen, Caifeng Li, Junxian Cao, et al.. (2023). Organ-on-a-chip meets artificial intelligence in drug evaluation. Theranostics. 13(13). 4526–4558. 103 indexed citations breakdown →
8.
Zhao, Yiyang, et al.. (2023). Evaluation of the Risk Prediction Models in Predicting Kidney Outcomes in Antiglomerular Basement Membrane Disease. Kidney International Reports. 9(3). 624–634. 2 indexed citations
9.
Jia, Xiaoyu, et al.. (2023). Autoantibodies against laminin-521 are pathogenic in anti-glomerular basement membrane disease. Kidney International. 104(6). 1124–1134. 6 indexed citations
10.
Gao, Shuang, Zhao Cui, & Ming‐Hui Zhao. (2022). Complement C3a and C3a Receptor Activation Mediates Podocyte Injuries in the Mechanism of Primary Membranous Nephropathy. Journal of the American Society of Nephrology. 33(9). 1742–1756. 54 indexed citations
11.
Liu, Jing, et al.. (2022). Autoimmunity in Anti–Glomerular Basement Membrane Disease: A Review of Mechanisms and Prospects for Immunotherapy. American Journal of Kidney Diseases. 81(1). 90–99. 8 indexed citations
12.
Jia, Xiaoyu, Wentian Luo, Florina Olaru, et al.. (2021). Laminin-521 is a Novel Target of Autoantibodies Associated with Lung Hemorrhage in Anti-GBM Disease. Journal of the American Society of Nephrology. 32(8). 1887–1897. 15 indexed citations
13.
Wang, Wenjing, Xiaoyu Jia, Zhao Cui, et al.. (2020). The prevalence and immunological features of anti-glomerular basement membrane antibody in patients with HIV. BMC Nephrology. 21(1). 2 indexed citations
14.
Shi, Yue, et al.. (2020). Experimental Antiglomerular Basement Membrane GN Induced by a Peptide from Actinomyces. Journal of the American Society of Nephrology. 31(6). 1282–1295. 9 indexed citations
15.
Nishibata, Yuka, Sakiko Masuda, Daigo Nakazawa, et al.. (2019). Epitope recognized by anti-glomerular basement membrane (GBM) antibody in a patient with repeated relapse of anti-GBM disease. Experimental and Molecular Pathology. 107. 165–170. 1 indexed citations
16.
Hu, Shui‐yi, Jia Wang, Miao Wang, et al.. (2017). The pathogenicity of T cell epitopes on human Goodpasture antigen and its critical amino acid motif. Journal of Cellular and Molecular Medicine. 21(9). 2117–2128. 11 indexed citations
17.
Cui, Zhao, Lan Zhang, Ning Liu, et al.. (2016). Significance of cerebrospinal fluid lactate level in diagnosing neonatal bacterial meningitis. Zhonghua shiyong erke linchuang zazhi. 31(6). 448–451. 1 indexed citations
18.
Wang, Suxia, et al.. (2016). A retrospective analysis of low-dose cyclosporine a monotherapy in idiopathic membranous nephropathy. 36(10). 886. 1 indexed citations
20.
Wang, Jia, Zhao Cui, Zhen Qu, et al.. (2015). Clinical Features and Outcomes in Patients With Membranous Nephropathy and Crescent Formation. Medicine. 94(50). e2294–e2294. 10 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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