Yi Guan

770 total citations
20 papers, 622 citations indexed

About

Yi Guan is a scholar working on Nephrology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yi Guan has authored 20 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 6 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yi Guan's work include Acute Kidney Injury Research (6 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Yi Guan is often cited by papers focused on Acute Kidney Injury Research (6 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Yi Guan collaborates with scholars based in China and United States. Yi Guan's co-authors include Chuan‐Ming Hao, Qionghong Xie, Xinzhong Huang, Yunyu Xu, Da Shang, Surong Wang, Jing Chen, Min Zhang, Donghai Wen and Chunyang Jiang and has published in prestigious journals such as Journal of the American Society of Nephrology, Cellular and Molecular Life Sciences and Archives of Biochemistry and Biophysics.

In The Last Decade

Yi Guan

20 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Guan China 11 200 163 134 111 95 20 622
May M. Rabadi United States 15 296 1.5× 66 0.4× 209 1.6× 90 0.8× 86 0.9× 20 818
Dal Kim South Korea 8 160 0.8× 89 0.5× 122 0.9× 74 0.7× 55 0.6× 11 472
Dingping Yang China 17 196 1.0× 70 0.4× 229 1.7× 88 0.8× 49 0.5× 29 538
Mengqing Ma China 13 271 1.4× 52 0.3× 102 0.8× 209 1.9× 87 0.9× 51 656
Zhuanli Zhou China 11 541 2.7× 60 0.4× 329 2.5× 130 1.2× 68 0.7× 13 887
Mei Tran United States 12 589 2.9× 78 0.5× 425 3.2× 216 1.9× 149 1.6× 13 1.2k
Shinichiro Niizuma Japan 11 278 1.4× 59 0.4× 40 0.3× 108 1.0× 42 0.4× 22 710
Yu Ishimoto Japan 10 346 1.7× 29 0.2× 274 2.0× 141 1.3× 159 1.7× 21 880
Jiansong Yuan China 15 199 1.0× 45 0.3× 23 0.2× 121 1.1× 47 0.5× 70 848

Countries citing papers authored by Yi Guan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Guan. A scholar is included among the top collaborators of Yi Guan 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 Yi Guan. Yi Guan 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.
Yang, Sisi, Weiyuan Gong, Yujia Wang, Chuan‐Ming Hao, & Yi Guan. (2024). Unraveling the nexus of NAD+ metabolism and diabetic kidney disease: insights from murine models and human data. Frontiers in Endocrinology. 15. 1384953–1384953. 1 indexed citations
3.
Li, Jing, Yi Guan, Yunyu Xu, et al.. (2023). Prostacyclin Mitigates Renal Fibrosis by Activating Fibroblast Prostaglandin I2 Receptor. Journal of the American Society of Nephrology. 35(2). 149–165. 4 indexed citations
4.
Guan, Yi, Shaojun Liu, Chuan‐Ming Hao, & Lingyun Lai. (2023). Effect of Nonimmune Factors on Renal Prognosis in Adult IgA Vasculitis With Nephritis: A Long-Term Retrospective Cohort Study. The Journal of Rheumatology. 50(8). 1032–1038. 1 indexed citations
5.
Wu, Xiaoting, Qionghong Xie, Yi Guan, et al.. (2023). Knockout of the C3a receptor protects against renal ischemia reperfusion injury by reduction of NETs formation. Cellular and Molecular Life Sciences. 80(11). 322–322. 17 indexed citations
6.
Xie, Qionghong, Mingyue Xu, Shaojun Liu, et al.. (2022). Matrix protein Tenascin-C promotes kidney fibrosis via STAT3 activation in response to tubular injury. Cell Death and Disease. 13(12). 1044–1044. 12 indexed citations
7.
Wang, Yujia, Yi Guan, Qionghong Xie, et al.. (2022). The metabolites ofde novoNAD+ synthesis are a valuable predictor of acute kidney injury. Clinical Kidney Journal. 16(4). 711–721. 7 indexed citations
8.
Tang, Xia, Hongmei Jian, Yi Guan, Jie Miao, & Xin Liang. (2021). Computed tomography-guided localization for multiple pulmonary nodules: a meta-analysis.. Videosurgery and Other Miniinvasive Techniques. 16(4). 641–647. 18 indexed citations
9.
Wang, Yujia, Jianhua Li, Yi Guan, et al.. (2021). Diabetes mellitus is a risk factor of acute kidney injury in liver transplantation patients. Hepatobiliary & pancreatic diseases international. 20(3). 215–221. 8 indexed citations
10.
Wang, Yujia, Li Wei, Yi Guan, et al.. (2020). Diabetes is a risk factor for high-dose methotrexate-associated AKI in lymphoma patients. Renal Failure. 42(1). 1111–1117. 11 indexed citations
11.
Guan, Yi, et al.. (2018). Endothelial prostacyclin protects the kidney from ischemia-reperfusion injury. Pflügers Archiv - European Journal of Physiology. 471(4). 543–555. 11 indexed citations
12.
Guan, Yi, Surong Wang, Xinzhong Huang, et al.. (2017). Nicotinamide Mononucleotide, an NAD+ Precursor, Rescues Age-Associated Susceptibility to AKI in a Sirtuin 1–Dependent Manner. Journal of the American Society of Nephrology. 28(8). 2337–2352. 187 indexed citations
13.
Liu, Xiaoqin, Yi Guan, Sheng Xu, et al.. (2016). Early Predictors of Acute Kidney Injury: A Narrative Review. Kidney & Blood Pressure Research. 41(5). 680–700. 52 indexed citations
14.
Guan, Yi & Chuan‐Ming Hao. (2015). NMN, a NAD+ Precursor, Can Rescue Age-associated Susceptibility to Cisplatin-induced Acute Kidney Injury in a SIRT1-dependent Manner. Hong Kong Journal of Nephrology. 17(2). S94–S95. 1 indexed citations
15.
Guan, Yi & Chuan‐Ming Hao. (2015). Podocyte SIRT1 Deficiency Contributes to Albuminuria and Renal Fibrosis in Diabetic Kidney Damage in Mice. Hong Kong Journal of Nephrology. 17(2). S9–S10. 1 indexed citations
16.
Guan, Yi & Chuan‐Ming Hao. (2015). SIRT1 and Kidney Function. Kidney Diseases. 1(4). 258–265. 44 indexed citations
17.
Huang, Xinzhong, Donghai Wen, Min Zhang, et al.. (2013). Sirt1 Activation Ameliorates Renal Fibrosis by Inhibiting the TGF‐β/Smad3 Pathway. Journal of Cellular Biochemistry. 115(5). 996–1005. 184 indexed citations
18.
Zh, Wang, Caimei Zhang, Zhuo Yu, et al.. (2011). Intermittent hypobaric hypoxia improves postischemic recovery of myocardial contractile function via redox signaling during early reperfusion. American Journal of Physiology-Heart and Circulatory Physiology. 301(4). H1695–H1705. 49 indexed citations
19.
Guan, Yi, Xinmin Zheng, Zhiwei Yang, & Shiwen Li. (2009). [Protective effects of L-carnitine upon testicular ischemia-reperfusion damage in rats].. PubMed. 89(26). 1858–61. 11 indexed citations
20.
Guan, Yi, et al.. (2006). Does Malfunction of Arachidonic Acid Epoxygenase Explain Salt-Sensitive Hypertension?. Journal of the American Society of Nephrology. 17(9). 2345–2352. 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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