Yu Ning Liu

458 total citations
11 papers, 365 citations indexed

About

Yu Ning Liu is a scholar working on Nephrology, Hematology and Molecular Biology. According to data from OpenAlex, Yu Ning Liu has authored 11 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Yu Ning Liu's work include Erythropoietin and Anemia Treatment (4 papers), Iron Metabolism and Disorders (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Yu Ning Liu is often cited by papers focused on Erythropoietin and Anemia Treatment (4 papers), Iron Metabolism and Disorders (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Yu Ning Liu collaborates with scholars based in China and South Korea. Yu Ning Liu's co-authors include Wei Jing Liu, Heung Yong Jin, Yi Ming Shao, Tae Sun Park, Won Bae Kim, Shu Xie, Huisheng Yang, Ya‐Hui Wang, Yishan Huang and Luying Sun and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, American Journal of Kidney Diseases and Nephrology Dialysis Transplantation.

In The Last Decade

Yu Ning Liu

11 papers receiving 356 citations

Peers

Yu Ning Liu
Ji Eun Lee South Korea
Jung Eun Kim South Korea
J.L. Paul France
A Rousseau France
Simon Gross Australia
Sona Haku Japan
Ji Eun Lee South Korea
Yu Ning Liu
Citations per year, relative to Yu Ning Liu Yu Ning Liu (= 1×) peers Ji Eun Lee

Countries citing papers authored by Yu Ning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Ning Liu. 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 Yu Ning Liu. The network helps show where Yu Ning Liu may publish in the future.

Co-authorship network of co-authors of Yu Ning Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ning Liu. A scholar is included among the top collaborators of Yu Ning Liu 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 Yu Ning Liu. Yu Ning Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Tang, Jing, et al.. (2022). Integrated Network Pharmacology Analysis and Experimental Validation to Investigate the Molecular Mechanism of Triptolide in the Treatment of Membranous Nephropathy. Drug Design Development and Therapy. Volume 16. 4061–4076. 8 indexed citations
2.
Feng, Zhendong, et al.. (2022). Cordyceps cicadae Ameliorates Renal Hypertensive Injury and Fibrosis Through the Regulation of SIRT1-Mediated Autophagy. Frontiers in Pharmacology. 12. 801094–801094. 27 indexed citations
3.
Wang, Ya‐Hui, Huisheng Yang, Luying Sun, et al.. (2022). Cardiac and Kidney Adverse Effects of HIF Prolyl-Hydroxylase Inhibitors for Anemia in Patients With CKD Not Receiving Dialysis: A Systematic Review and Meta-analysis. American Journal of Kidney Diseases. 81(4). 434–445.e1. 14 indexed citations
4.
Wang, Ya‐Hui, et al.. (2021). Efficacy and Safety of Daprodustat for Anemia Therapy in Chronic Kidney Disease Patients: A Systematic Review and Meta-Analysis. Frontiers in Pharmacology. 11. 573645–573645. 12 indexed citations
5.
Huang, Yi, Xu Wang, Zhendong Feng, et al.. (2020). Cordyceps cicadae Prevents Renal Tubular Epithelial Cell Apoptosis by Regulating the SIRT1/p53 Pathway in Hypertensive Renal Injury. Evidence-based Complementary and Alternative Medicine. 2020(1). 7202519–7202519. 19 indexed citations
6.
Huang, Yi, Huisheng Yang, Xueqin Zhang, et al.. (2020). Efficacy of Intermittent or Continuous Very Low-Energy Diets in Overweight and Obese Individuals with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analyses. Journal of Diabetes Research. 2020. 1–21. 11 indexed citations
7.
Yang, Huisheng, et al.. (2020). The efficacy and safety of roxadustat for anemia in patients with chronic kidney disease: a meta-analysis. Nephrology Dialysis Transplantation. 36(9). 1603–1615. 23 indexed citations
8.
Yang, Huisheng, Luying Sun, Ya‐Hui Wang, et al.. (2020). Efficacy and safety of HIF prolyl-hydroxylase inhibitor vs epoetin and darbepoetin for anemia in chronic kidney disease patients not undergoing dialysis: A network meta-analysis. Pharmacological Research. 159. 105020–105020. 52 indexed citations
9.
Feng, Zhendong, Huiyang Chen, Yu Ning Liu, et al.. (2020). Adaptive Autophagy Offers Cardiorenal Protection in Rats with Acute Myocardial Infarction. Cardiology Research and Practice. 2020. 1–10. 3 indexed citations
10.
Xia, Chen, et al.. (2019). Yiqihuoxue Formula Activates Autophagy and Offers Renoprotection in a Rat Model of Adenine-Induced Kidney Disease. Evidence-based Complementary and Alternative Medicine. 2019. 1–12. 6 indexed citations
11.
Liu, Wei Jing, Shu Xie, Yu Ning Liu, et al.. (2011). Dipeptidyl Peptidase IV Inhibitor Attenuates Kidney Injury in Streptozotocin-Induced Diabetic Rats. Journal of Pharmacology and Experimental Therapeutics. 340(2). 248–255. 190 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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