Shimin Jiang

691 total citations · 1 hit paper
39 papers, 459 citations indexed

About

Shimin Jiang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shimin Jiang has authored 39 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nephrology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shimin Jiang's work include Chronic Kidney Disease and Diabetes (22 papers), Renal Diseases and Glomerulopathies (19 papers) and Dialysis and Renal Disease Management (7 papers). Shimin Jiang is often cited by papers focused on Chronic Kidney Disease and Diabetes (22 papers), Renal Diseases and Glomerulopathies (19 papers) and Dialysis and Renal Disease Management (7 papers). Shimin Jiang collaborates with scholars based in China. Shimin Jiang's co-authors include Wenge Li, Tianyu Yu, Shunlai Shang, Guming Zou, Jianwen Chen, Yue Yang, Zheng Zhang, Hongmei Gao, Yining Wang and Li Zhuo and has published in prestigious journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Frontiers in Immunology.

In The Last Decade

Shimin Jiang

36 papers receiving 452 citations

Hit Papers

A bioactive composite hydrogel dressing that promotes hea... 2024 2026 2025 2024 25 50 75
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.

  1. A bioactive composite hydrogel dressing that promotes healing of both acute and chronic diabetic skin wounds
    2024 96 citations Shunlai Shang, Jianwen Chen et al. Bioactive Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shimin Jiang China 13 198 79 58 56 45 39 459
Jiayi Yan China 11 95 0.5× 34 0.4× 33 0.6× 92 1.6× 18 0.4× 36 362
Gordon P Otto Germany 12 68 0.3× 39 0.5× 23 0.4× 200 3.6× 86 1.9× 20 934
D. Georgescu Romania 10 116 0.6× 33 0.4× 18 0.3× 109 1.9× 7 0.2× 62 546
Selim İşbir Türkiye 13 46 0.2× 38 0.5× 10 0.2× 84 1.5× 128 2.8× 60 438
Tsunao Oh‐i Japan 12 34 0.2× 46 0.6× 12 0.2× 121 2.2× 19 0.4× 34 437
Menaka Sarav United States 12 109 0.6× 19 0.2× 7 0.1× 124 2.2× 29 0.6× 19 594
Kristien J. Ledeganck Belgium 14 126 0.6× 100 1.3× 7 0.1× 186 3.3× 24 0.5× 34 830
Maik Soßdorf Germany 11 82 0.4× 34 0.4× 25 0.4× 144 2.6× 95 2.1× 22 922
Jun Niu China 9 12 0.1× 107 1.4× 36 0.6× 49 0.9× 49 1.1× 24 451
Fernándo Marqués-García Spain 16 51 0.3× 29 0.4× 4 0.1× 107 1.9× 70 1.6× 47 590

Countries citing papers authored by Shimin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shimin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimin Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shimin Jiang. A scholar is included among the top collaborators of Shimin Jiang 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 Shimin Jiang. Shimin Jiang 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
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Gu, Xia, Danyang Zhang, Shimin Jiang, & Wenge Li. (2025). Crescents and CKD progression in diabetic nephropathy. Medicina Clínica. 164(9). 470–479.
4.
Jiao, Yuanyuan, et al.. (2024). Optimal assessment of the glomerular filtration rate in older chinese patients using the equations of the Berlin Initiative Study. Aging Clinical and Experimental Research. 36(1). 17–17. 1 indexed citations
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Shang, Shunlai, et al.. (2024). A bioactive composite hydrogel dressing that promotes healing of both acute and chronic diabetic skin wounds. Bioactive Materials. 34. 298–310. 96 indexed citations breakdown →
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Li, Jiayi, et al.. (2023). Lectin Complement Pathway Activation is Associated with Massive Proteinuria in PLA2R-Positive Membranous Nephropathy: A Retrospective Study. International Journal of General Medicine. Volume 16. 1879–1889. 8 indexed citations
9.
Li, Jiayi, Xu Wang, Shimin Jiang, & Wenge Li. (2023). Serum PLA2R antibody as a predictive biomarker for venous thromboembolism risk in primary membranous nephropathy. Medicina Clínica. 161(10). 417–421. 2 indexed citations
10.
Li, Jiayi, Xu Wang, Shimin Jiang, & Wenge Li. (2023). Serum PLA2R antibody as a predictive biomarker for venous thromboembolism risk in primary membranous nephropathy. Medicina Clínica (English Edition). 161(10). 417–421. 1 indexed citations
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Jiang, Shimin, Danyang Zhang, & Wenge Li. (2022). The Chronic Kidney Disease Epidemiology Collaboration equations perform less well in an older population with type 2 diabetes than their non-diabetic counterparts. Frontiers in Public Health. 10. 952899–952899. 4 indexed citations
13.
Li, Yetong, et al.. (2022). Factors associated with the progression of mesangial lesions in IgA nephropathy: A comparative analysis of renal re-biopsies. Frontiers in Endocrinology. 13. 1004289–1004289. 3 indexed citations
14.
Jiang, Shimin, et al.. (2020). Angiotensin-converting enzyme inhibitors versus angiotensin II receptor blockers for renal outcomes and mortality in diabetic kidney disease. European Journal of Internal Medicine. 85. 127–129. 1 indexed citations
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Yu, Tianyu, Shimin Jiang, Yue Yang, et al.. (2020). The Treatment Effectiveness Evaluation for Slowing the Progression of Diabetic Nephropathy During Stage 4 Chronic Kidney Disease. Diabetes Therapy. 12(1). 301–312. 9 indexed citations
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Jiang, Shimin, et al.. (2019). Novel Model Predicts Diabetic Nephropathy in Type 2 Diabetes. American Journal of Nephrology. 51(2). 130–138. 40 indexed citations
17.
Jiang, Shimin, Tianyu Yu, Zheng Zhang, et al.. (2019). Diagnostic Performance of Retinopathy in the Detection of Diabetic Nephropathy in Type 2 Diabetes: A Systematic Review and Meta-Analysis of 45 Studies. Ophthalmic Research. 62(2). 68–79. 13 indexed citations
18.
Zhang, Zheng, Yue Yang, Shimin Jiang, & Wenge Li. (2019). Efficacy and safety of immunosuppressive treatment in IgA nephropathy: a meta-analysis of randomized controlled trials. BMC Nephrology. 20(1). 333–333. 19 indexed citations
19.
Jiang, Shimin, et al.. (2018). Accuracy of hematuria for predicting non-diabetic renal disease in patients with diabetes and kidney disease: A systematic review and meta-analysis. Diabetes Research and Clinical Practice. 143. 288–300. 23 indexed citations
20.

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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