Lin Sun

12.4k total citations · 6 hit papers
207 papers, 9.6k citations indexed

About

Lin Sun is a scholar working on Molecular Biology, Nephrology and Clinical Biochemistry. According to data from OpenAlex, Lin Sun has authored 207 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 77 papers in Nephrology and 33 papers in Clinical Biochemistry. Recurrent topics in Lin Sun's work include Chronic Kidney Disease and Diabetes (56 papers), Advanced Glycation End Products research (22 papers) and Renal Diseases and Glomerulopathies (21 papers). Lin Sun is often cited by papers focused on Chronic Kidney Disease and Diabetes (56 papers), Advanced Glycation End Products research (22 papers) and Renal Diseases and Glomerulopathies (21 papers). Lin Sun collaborates with scholars based in China, United States and Japan. Lin Sun's co-authors include Yashpal S. Kanwar, Fuyou Liu, Li Xiao, Sheldon Chen, Zheng Dong, Ming Zhan, Ming Yang, Ping Xie, Shikun Yang and Jun Wada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Lin Sun

199 papers receiving 9.5k citations

Hit Papers

A Glimpse of Various Pathogenetic Mechanisms of Diabetic ... 2008 2026 2014 2020 2011 2008 2016 2018 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Sun China 50 4.3k 2.8k 1.4k 1.3k 1.1k 207 9.6k
Reiko Inagi Japan 58 2.9k 0.7× 2.7k 1.0× 1.4k 1.0× 2.1k 1.7× 958 0.9× 194 10.1k
John Cijiang He United States 61 3.9k 0.9× 3.9k 1.4× 945 0.7× 1.4k 1.1× 766 0.7× 243 10.3k
Hunjoo Ha South Korea 49 2.8k 0.6× 2.0k 0.7× 801 0.6× 1.4k 1.1× 1.2k 1.1× 167 7.8k
Hanna E. Abboud United States 57 3.7k 0.9× 2.3k 0.8× 662 0.5× 809 0.6× 1.1k 1.0× 166 9.0k
Frank C. Brosius United States 54 4.1k 1.0× 2.3k 0.8× 680 0.5× 761 0.6× 1.5k 1.3× 146 9.6k
Takeshi Sugaya Japan 61 3.7k 0.8× 3.4k 1.2× 1.2k 0.9× 697 0.5× 1.5k 1.4× 229 10.7k
Karin Jandeleit‐Dahm Australia 57 3.7k 0.9× 1.9k 0.7× 1.0k 0.8× 2.2k 1.7× 1.3k 1.2× 157 10.8k
María Dolores Sánchez-Niño Spain 53 3.0k 0.7× 2.9k 1.1× 763 0.6× 373 0.3× 821 0.7× 173 8.2k
Joel M. Weinberg United States 48 4.6k 1.1× 2.4k 0.9× 860 0.6× 659 0.5× 1.2k 1.1× 111 9.5k
Fuyou Liu China 40 2.6k 0.6× 2.3k 0.8× 873 0.6× 579 0.5× 693 0.6× 206 6.2k

Countries citing papers authored by Lin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Sun. A scholar is included among the top collaborators of Lin Sun 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 Lin Sun. Lin Sun 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
2.
Li, Chenrui, Qing Zhao, Ming Yang, et al.. (2025). Mito-tempo ameliorates tubular injury of diabetic nephropathy via inhibiting mt-dsRNA release and PKR/eIF2α pathway activation. Free Radical Biology and Medicine. 237. 147–159. 1 indexed citations
3.
Yang, Ming, Chongbin Liu, Na Jiang, et al.. (2025). Sesamol Ameliorates Lipid Deposition by Maintaining the Integrity of the Lipid Droplet–Mitochondria Connection in Diabetic Nephropathy. Journal of Agricultural and Food Chemistry. 73(3). 2124–2137. 2 indexed citations
4.
Ding, Kaiyue, et al.. (2025). Mitochondrial RNA metabolism, a potential therapeutic target for mitochondria-related diseases. Chinese Medical Journal. 138(7). 808–818.
5.
Li, Yue, Hu Li, Zhiwei Hu, et al.. (2025). Phosphatidylserine-decorated delivery platform helps alleviate acute lung injury via potentiating macrophage targeting. Journal of Lipid Research. 66(5). 100799–100799. 1 indexed citations
6.
Zhang, Haifeng, et al.. (2024). AQP1 mediates pancreatic β cell senescence induced by metabolic stress through modulating intracellular H2O2 level. Free Radical Biology and Medicine. 226. 171–184.
7.
Lin, Ye, Ning An, H. Wu, et al.. (2024). Macrophage autophagy protects against acute kidney injury by inhibiting renal inflammation through the degradation of TARM1. Autophagy. 21(1). 120–140. 20 indexed citations
8.
Yang, Ming, et al.. (2024). ACSL5 promotes lipid deposition and lipoapoptosis in proximal tubular epithelial cells of diabetic kidney disease. Molecular and Cellular Endocrinology. 595. 112418–112418. 2 indexed citations
9.
Wang, Yong, et al.. (2023). Engineered lanthanide-based nanomaterials as a novel bio-probe for in vivo dual-modal imaging. Journal of Luminescence. 261. 119908–119908. 4 indexed citations
10.
Wang, Jiayi, Xiang Zhou, Yu Liu, et al.. (2020). Metabolomics window into the role of acute kidney injury after coronary artery bypass grafting in diabetic nephropathy progression. PeerJ. 8. e9111–e9111. 5 indexed citations
11.
Zhou, Tong, Lin Sun, Shuo Yang, et al.. (2020). 20(S)-Ginsenoside Rg3 Protects Kidney from Diabetic Kidney Disease via Renal Inflammation Depression in Diabetic Rats. Journal of Diabetes Research. 2020. 1–8. 23 indexed citations
12.
Liu, Hong, Lin Sun, Xun Zhou, et al.. (2019). MicroRNA‐302c modulates peritoneal dialysis‐associated fibrosis by targeting connective tissue growth factor. Journal of Cellular and Molecular Medicine. 23(4). 2372–2383. 21 indexed citations
13.
Yang, Ming, et al.. (2019). Towards Better Drug Repositioning: Targeted Immunoinflammatory Therapy for Diabetic Nephropathy. Current Medicinal Chemistry. 28(5). 1003–1024. 3 indexed citations
14.
Yuan, Shuguang, Xuejing Zhu, Jun Li, et al.. (2018). The Role of TLR4 on PGC‐1α‐Mediated Oxidative Stress in Tubular Cell in Diabetic Kidney Disease. Oxidative Medicine and Cellular Longevity. 2018(1). 6296802–6296802. 57 indexed citations
15.
He, Liyu, Qingqing Wei, Jing Liu, et al.. (2017). AKI on CKD: heightened injury, suppressed repair, and the underlying mechanisms. Kidney International. 92(5). 1071–1083. 322 indexed citations breakdown →
16.
Zhan, Ming, et al.. (2014). Disruption of Renal Tubular Mitochondrial Quality Control by Myo-Inositol Oxygenase in Diabetic Kidney Disease. Journal of the American Society of Nephrology. 26(6). 1304–1321. 248 indexed citations
17.
Sun, Lin, Ezra Kwok, R. Bhushan Gopaluni, & Omid Vahidi. (2011). A Feedback Glucose Control Strategy for Type II Diabetes Mellitus. 349–352. 2 indexed citations
18.
Liu, Yonggang, Jianhua Lu, Xinxin Wang, et al.. (2006). Influence of HBcAg in liver cell plasma on expression of transforming growth factor-beta 1 in liver tissue of low-grade chronic hepatitis B patients. World Journal of Gastroenterology. 12(1). 127–127. 1 indexed citations
19.
Sun, Lin. (2005). The study of pulmonary fibrosis in severe acute respiratory syndrome. 1 indexed citations
20.
Haas, Christian, Briana C. Gleason, Lin Sun, Gianfranco Tramonti, & Yashpal S. Kanwar. (2004). Matrix Metalloproteinases in Renal Development. Connective Tissue Research. 45(2). 73–85. 9 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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