Shaodong Luan

420 total citations
35 papers, 281 citations indexed

About

Shaodong Luan is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Shaodong Luan has authored 35 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Nephrology. Recurrent topics in Shaodong Luan's work include Renal Diseases and Glomerulopathies (7 papers), Xenotransplantation and immune response (7 papers) and T-cell and B-cell Immunology (5 papers). Shaodong Luan is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Xenotransplantation and immune response (7 papers) and T-cell and B-cell Immunology (5 papers). Shaodong Luan collaborates with scholars based in China, United States and Germany. Shaodong Luan's co-authors include Hanchao Gao, Pengfei Chen, Yanli Zhao, Lisha Mou, David K. C. Cooper, Mengtao Cao, Changchun Zeng, Wenjun Hu, Huimin Sun and Huiyun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Shaodong Luan

25 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaodong Luan China 8 125 80 71 48 36 35 281
Ruchira Fernando Australia 7 242 1.9× 95 1.2× 121 1.7× 22 0.5× 24 0.7× 17 369
Junwen Qu China 11 130 1.0× 74 0.9× 82 1.2× 42 0.9× 15 0.4× 18 309
PL Beck Canada 8 123 1.0× 136 1.7× 42 0.6× 22 0.5× 38 1.1× 11 318
Jiannan Li China 11 91 0.7× 76 0.9× 51 0.7× 85 1.8× 80 2.2× 28 350
Lucy Meader United Kingdom 8 73 0.6× 226 2.8× 96 1.4× 86 1.8× 13 0.4× 15 400
Hanan Fathy Egypt 7 62 0.5× 27 0.3× 79 1.1× 59 1.2× 42 1.2× 14 231
Kassem Safa United States 11 52 0.4× 144 1.8× 78 1.1× 52 1.1× 15 0.4× 24 326
Pablo Mesa-del-Castillo Spain 6 299 2.4× 179 2.2× 50 0.7× 38 0.8× 11 0.3× 12 400
Shaxi Ouyang China 8 148 1.2× 32 0.4× 21 0.3× 111 2.3× 21 0.6× 15 279

Countries citing papers authored by Shaodong Luan

Since Specialization
Citations

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

Fields of papers citing papers by Shaodong Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaodong Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaodong Luan. A scholar is included among the top collaborators of Shaodong Luan 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 Shaodong Luan. Shaodong Luan 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
3.
Gao, Hanchao, Yikun Yao, Wenjun Hu, et al.. (2025). Caspase‐6/Gasdermin C‐Mediated Tumor Cell Pyroptosis Promotes Colorectal Cancer Progression Through CXCL2‐Dependent Recruitment of Myeloid‐Derived Suppressor Cells. Advanced Science. 12(20). e2411375–e2411375. 2 indexed citations
4.
Gao, Hanchao, Shi Xu, Wenjun Hu, et al.. (2024). Gasdermin D promotes development of intestinal tumors through regulating IL-1β release and gut microbiota composition. Cell Communication and Signaling. 22(1). 511–511. 2 indexed citations
5.
Gao, J., Jingjing Dong, Qi Guo, et al.. (2024). Prediction of mortality in hemodialysis patients based on autoencoders. International Journal of Medical Informatics. 195. 105744–105744.
6.
He, Jingquan, Donge Tang, Zeyu Zhang, et al.. (2023). Machine learning-based intradialytic hypotension prediction of patients undergoing hemodialysis: A multicenter retrospective study. Computer Methods and Programs in Biomedicine. 240. 107698–107698. 12 indexed citations
7.
Tang, Donge, Weilong Li, Zhipeng Zeng, et al.. (2023). Serum metabolomics analysis reveals metabolite profile and key biomarkers of idiopathic membranous nephropathy. PeerJ. 11. e15167–e15167. 2 indexed citations
8.
Gao, Hanchao, Mengtao Cao, Yikun Yao, et al.. (2021). Dysregulated Microbiota-Driven Gasdermin D Activation Promotes Colitis Development by Mediating IL-18 Release. Frontiers in Immunology. 12. 750841–750841. 45 indexed citations
9.
Li, Weilong, Dongzhou Liu, Fengping Zheng, et al.. (2021). Generation of Systemic Lupus Erythematosus Patient-Derived Induced Pluripotent Stem Cells from Blood. Stem Cells and Development. 30(5). 227–233. 7 indexed citations
10.
Li, Weilong, Xi Wang, Shuyuan Zhang, et al.. (2021). Proliferative glomerulonephritis with monoclonal immunoglobulin G deposits in a young woman: A case report. World Journal of Clinical Cases. 9(10). 2357–2366. 4 indexed citations
11.
Zhao, Yanli, Wenjun Hu, Pengfei Chen, et al.. (2020). Immunosuppressive and metabolic agents that influence allo‐ and xenograft survival by in vivo expansion of T regulatory cells. Xenotransplantation. 27(6). e12640–e12640. 6 indexed citations
12.
Li, Weilong, Xi Wang, Yingwei Zhang, et al.. (2020). Goodpasture syndrome and hemorrhage after renal biopsy: A case report. World Journal of Clinical Cases. 8(2). 404–409. 1 indexed citations
13.
Zhao, Yanli, David K. C. Cooper, Huiyun Wang, et al.. (2019). Potential pathological role of pro‐inflammatory cytokines (IL‐6, TNF‐α, and IL‐17) in xenotransplantation. Xenotransplantation. 26(3). e12502–e12502. 43 indexed citations
14.
Zhao, Yanli, David K. C. Cooper, Ying Lu, et al.. (2019). Isolation and Culture of Primary Aortic Endothelial Cells from Miniature Pigs. Journal of Visualized Experiments. 4 indexed citations
15.
Gao, Hanchao, Mengtao Cao, Pengfei Chen, et al.. (2019). TNF-α promotes human antibody-mediated complement-dependent cytotoxicity of porcine endothelial cells through downregulating P38-mediated Occludin expression. Cell Communication and Signaling. 17(1). 75–75. 15 indexed citations
16.
Cao, Mengtao, Fei Chen, Ni Xie, et al.. (2018). c-Jun N-terminal kinases differentially regulate TNF- and TLRs-mediated necroptosis through their kinase-dependent and -independent activities. Cell Death and Disease. 9(12). 1140–1140. 51 indexed citations
17.
Gao, Hanchao, Qing Zhang, Jicheng Chen, et al.. (2018). Porcine IL‐6, IL‐1β, and TNF‐α regulate the expression of pro‐inflammatory‐related genes and tissue factor in human umbilical vein endothelial cells. Xenotransplantation. 25(5). e12408–e12408. 33 indexed citations
18.
Wan, Qijun, Haofei Hu, Yongcheng He, et al.. (2016). Tacrolimus combined with low-dose corticosteroids is an effective and safe therapeutic option for refractory IgA nephropathy. Experimental and Therapeutic Medicine. 12(3). 1934–1938. 7 indexed citations
19.
Wan, Qijun, Haofei Hu, Yongcheng He, et al.. (2014). Severe pneumonia in mycophenolate mofetil combined with low‐dose corticosteroids‐treated patients with immunoglobulin A nephropathy. The Kaohsiung Journal of Medical Sciences. 31(1). 42–46. 9 indexed citations
20.
Wan, Qijun, et al.. (2007). [The effects of TCM Yishen Decoction on the expression of MMP-9 and TIMP-1 in kidney of mouse with IgA nephropathy].. PubMed. 23(7). 633–4. 1 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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