Sufang Shi

3.9k total citations
118 papers, 2.3k citations indexed

About

Sufang Shi is a scholar working on Nephrology, Hematology and Immunology. According to data from OpenAlex, Sufang Shi has authored 118 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Nephrology, 35 papers in Hematology and 34 papers in Immunology. Recurrent topics in Sufang Shi's work include Renal Diseases and Glomerulopathies (103 papers), Chronic Kidney Disease and Diabetes (34 papers) and Platelet Disorders and Treatments (28 papers). Sufang Shi is often cited by papers focused on Renal Diseases and Glomerulopathies (103 papers), Chronic Kidney Disease and Diabetes (34 papers) and Platelet Disorders and Treatments (28 papers). Sufang Shi collaborates with scholars based in China, Romania and United States. Sufang Shi's co-authors include Jicheng Lv, Hong Zhang, Lijun Liu, Hong Zhang, Li Zhu, Yuqing Chen, Suxia Wang, Shu‐Feng Zhou, Yaling Zhai and Lijun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sufang Shi

105 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sufang Shi China 27 1.9k 628 570 565 424 118 2.3k
Claudio Pozzi Italy 24 2.2k 1.1× 180 0.3× 610 1.1× 650 1.2× 637 1.5× 69 2.9k
Maddalena Marasà United States 14 826 0.4× 263 0.4× 174 0.3× 235 0.4× 242 0.6× 28 1.5k
Barbara Ruggiero Italy 14 1.3k 0.7× 335 0.5× 141 0.2× 542 1.0× 467 1.1× 26 1.6k
Giovanni Banfi Italy 25 1.4k 0.8× 617 1.0× 129 0.2× 280 0.5× 471 1.1× 46 2.5k
Mitsuyo Itabashi Japan 20 897 0.5× 156 0.2× 154 0.3× 257 0.5× 351 0.8× 76 1.2k
Shuichiro Fujinaga Japan 18 847 0.4× 135 0.2× 227 0.4× 331 0.6× 154 0.4× 106 1.2k
Jacques Pourrat France 18 441 0.2× 397 0.6× 280 0.5× 173 0.3× 500 1.2× 45 1.6k
Christiane Mousson France 22 795 0.4× 564 0.9× 183 0.3× 213 0.4× 407 1.0× 81 1.8k
Edoardo Rossi Italy 25 310 0.2× 783 1.2× 856 1.5× 234 0.4× 143 0.3× 58 2.0k
David Sutton Canada 25 325 0.2× 590 0.9× 884 1.6× 477 0.8× 305 0.7× 57 2.2k

Countries citing papers authored by Sufang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Sufang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sufang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Sufang Shi. A scholar is included among the top collaborators of Sufang Shi 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 Sufang Shi. Sufang Shi 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, Xianzhi, Xiaohan Yuan, Lijun Liu, et al.. (2025). Complement C3 and complement factor H affect glomerular IgA deposition in IgA nephropathy. Immunobiology. 230(4). 153018–153018.
2.
3.
Jiang, Min, Lejian Lin, Shuai Yue, et al.. (2025). Mitochondrial Calcium Uniporter‐Mediated Regulation of the SIRT3 / GSK3β /β‐Catenin Signaling Pathway in Vascular Remodeling. The FASEB Journal. 39(13). e70761–e70761.
4.
Wei, Qu, Si Zeng, Zekun Jiang, et al.. (2025). Topological representation based on wavelet transform as a novel imaging biomarker for tumor diagnosis in ultrasound images: A comprehensive study. Computer Methods and Programs in Biomedicine. 269. 108859–108859.
5.
Wong, Muh Geot, Dana Kim, Sufang Shi, et al.. (2025). Role of Systemic Glucocorticoids in Reducing IgA and Galactose-Deficient IgA1 Levels in IgA Nephropathy. Clinical Journal of the American Society of Nephrology. 20(11). 1564–1570.
6.
Li, Zhu, Xinfang Xie, Xu Zhang, et al.. (2024). Lactobacillus casei Cell Wall Extract and Production of Galactose-Deficient IgA1 in a Humanized IGHA1 Mouse Model. Journal of the American Society of Nephrology. 36(1). 60–72. 1 indexed citations
7.
Tang, Chen, Pei Chen, Linlin Xu, et al.. (2024). Circulating Proteins and IgA Nephropathy. Journal of the American Society of Nephrology. 35(8). 1045–1057. 8 indexed citations
8.
Qi, Yuanyuan, Yuemiao Zhang, Céline C. Berthier, et al.. (2024). A cluster of type I interferon-regulated genes associates with disease activity and prognosis in patients with IgA nephropathy. International Immunopharmacology. 131. 111920–111920. 2 indexed citations
9.
Qi, Yuanyuan, Yuemiao Zhang, Yang Li, et al.. (2024). Unveiling biomarkers and therapeutic targets in IgA nephropathy through large-scale blood transcriptome analysis. International Immunopharmacology. 132. 111905–111905. 5 indexed citations
10.
11.
Chen, Pei‐Jer, Yang Liu, Sufang Shi, et al.. (2024). Clinical Application of Polygenic Risk Score in IgA Nephropathy. PubMed. 4(2). 146–157. 4 indexed citations
12.
Tang, Chen, Jicheng Lv, Sufang Shi, et al.. (2023). Discontinuation of Renin-Angiotensin System Inhibitors and Clinical Outcomes in Chronic Kidney Disease: A Systemic Review and Meta-Analysis. American Journal of Nephrology. 54(5-6). 234–244. 6 indexed citations
13.
Kang, Yuqi, Boyang Xu, Sufang Shi, et al.. (2023). Mesangial C3 Deposition, Complement-Associated Variant, and Disease Progression in IgA Nephropathy. Clinical Journal of the American Society of Nephrology. 18(12). 1583–1591. 10 indexed citations
14.
Tang, Chen, Pei‐Jer Chen, Yuxuan Yao, et al.. (2023). Intensive blood pressure control and the progression of IgA nephropathy: a cohort study using marginal structural models. Nephrology Dialysis Transplantation. 39(1). 55–63. 3 indexed citations
15.
Shi, Sufang, Shu‐Feng Zhou, Lijun Liu, et al.. (2023). The predictive value and response to immunosuppressive therapy of IgA nephropathy patients with crescents in a large retrospective Chinese cohort. Clinical Kidney Journal. 16(12). 2417–2428. 2 indexed citations
16.
Yuan, Xiaohan, Qing Su, Hui Wang, et al.. (2022). Genetic Variants of the COL4A3, COL4A4, and COL4A5 Genes Contribute to Thinned Glomerular Basement Membrane Lesions in Sporadic IgA Nephropathy Patients. Journal of the American Society of Nephrology. 34(1). 132–144. 14 indexed citations
17.
Li, Jingyi, Ling Guo, Sufang Shi, et al.. (2022). The Role of Complement in Microangiopathic Lesions of IgA Nephropathy. Kidney International Reports. 7(6). 1219–1228. 12 indexed citations
18.
Zhou, Shu‐Feng, Lam C. Tsoi, Yong Hu, et al.. (2021). Exome Chip Analyses and Genetic Risk for IgA Nephropathy among Han Chinese. Clinical Journal of the American Society of Nephrology. 16(2). 213–224. 12 indexed citations
19.
Zhou, Shu‐Feng, Pei‐Jer Chen, Guizhen Yu, et al.. (2021). Interaction between G ALNT12 and C1GALT1 Associates with Galactose-Deficient IgA1 and IgA Nephropathy. Journal of the American Society of Nephrology. 32(3). 545–552. 24 indexed citations
20.
He, Jiawei, Shu‐Feng Zhou, Yafeng Li, et al.. (2021). Associations of Genetic Variants Contributing to Gut Microbiota Composition in Immunoglobin A Nephropathy. mSystems. 6(1). 31 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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