Sheng Cui

417 total citations
32 papers, 299 citations indexed

About

Sheng Cui is a scholar working on Molecular Biology, Nephrology and Physiology. According to data from OpenAlex, Sheng Cui has authored 32 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Nephrology and 5 papers in Physiology. Recurrent topics in Sheng Cui's work include Renal and related cancers (8 papers), Pluripotent Stem Cells Research (5 papers) and Coenzyme Q10 studies and effects (4 papers). Sheng Cui is often cited by papers focused on Renal and related cancers (8 papers), Pluripotent Stem Cells Research (5 papers) and Coenzyme Q10 studies and effects (4 papers). Sheng Cui collaborates with scholars based in South Korea, China and United States. Sheng Cui's co-authors include Byung Ha Chung, Chul Woo Yang, Sun Woo Lim, Eun Jeong Ko, Yoo Jin Shin, Kang Luo, Yi Quan, Yoo‐Jin Shin, Can Li and Jae Young Lee and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and American Journal of Transplantation.

In The Last Decade

Sheng Cui

29 papers receiving 297 citations

Peers

Sheng Cui
Maria Angeles Baker United States
Carolynn Cairns United Kingdom
Jichao Wu China
Brian R. Roberts United States
Meredith P. Millis United States
Chakradhar Velagapudi United States
Maria Angeles Baker United States
Sheng Cui
Citations per year, relative to Sheng Cui Sheng Cui (= 1×) peers Maria Angeles Baker

Countries citing papers authored by Sheng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Cui. A scholar is included among the top collaborators of Sheng Cui 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 Sheng Cui. Sheng Cui 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.
Shin, Yoo‐Jin, Sheng Cui, Sun Woo Lim, et al.. (2024). Single-cell RNA sequencing revealed the role of the Th17 pathway in the development of anti- human leukocyte antigen antibodies in a highly sensitized mouse model. Kidney Research and Clinical Practice. 44(6). 960–973. 1 indexed citations
2.
Cui, Sheng, Ji Won Min, Sun Woo Lim, et al.. (2024). Combined Use of Tocilizumab and Mesenchymal Stem Cells Attenuate the Development of an Anti-HLA-A2.1 Antibody in a Highly Sensitized Mouse Model. International Journal of Molecular Sciences. 25(3). 1378–1378. 1 indexed citations
3.
4.
Lim, Sun Woo, Sheng Cui, Yoo Jin Shin, et al.. (2023). CRISPR-Cas9-Mediated Correction of SLC12A3 Gene Mutation Rescues the Gitelman’s Disease Phenotype in a Patient-Derived Kidney Organoid System. International Journal of Molecular Sciences. 24(3). 3019–3019. 9 indexed citations
5.
Lim, Sun Woo, Yoo‐Jin Shin, Sheng Cui, et al.. (2023). Prediction of diabetes mellitus after kidney transplantation using patient-specific induced pluripotent stem cells. Kidney Research and Clinical Practice. 43(2). 236–249.
6.
Lim, Sun Woo, Sheng Cui, Yoo‐Jin Shin, et al.. (2023). Modeling of FAN1-Deficient Kidney Disease Using a Human Induced Pluripotent Stem Cell-Derived Kidney Organoid System. Cells. 12(18). 2319–2319. 6 indexed citations
7.
Cui, Sheng, Yoo Jin Shin, Sungjin Chung, et al.. (2023). Modeling of Fabry disease nephropathy using patient derived human induced pluripotent stem cells and kidney organoid system. Journal of Translational Medicine. 21(1). 138–138. 16 indexed citations
8.
Cui, Sheng, Yoo Jin Shin, Eun Jeong Ko, et al.. (2023). CRISPR/Cas9-mediated A4GALT suppression rescues Fabry disease phenotypes in a kidney organoid model. Translational research. 258. 35–46. 17 indexed citations
9.
Ko, Eun Jeong, Yoo‐Jin Shin, Sheng Cui, et al.. (2022). Effect of dual inhibition of DPP4 and SGLT2 on tacrolimus-induced diabetes mellitus and nephrotoxicity in a rat model. American Journal of Transplantation. 22(6). 1537–1549. 13 indexed citations
10.
Kim, Kyoung‐Woon, Yoo‐Jin Shin, Bo‐Mi Kim, et al.. (2021). Modeling of endothelial cell dysfunction using human induced pluripotent stem cells derived from patients with end-stage renal disease. Kidney Research and Clinical Practice. 40(4). 698–711. 8 indexed citations
11.
Lim, Sun Woo, Kyung‐Woon Kim, Yoo Jin Shin, et al.. (2021). Alleviation of renal ischemia/reperfusion injury by exosomes from induced pluripotent stem cell-derived mesenchymal stem cells. The Korean Journal of Internal Medicine. 37(2). 411–424. 27 indexed citations
12.
Shin, Yoo‐Jin, Sun Woo Lim, Sheng Cui, et al.. (2021). Tacrolimus Decreases Cognitive Function by Impairing Hippocampal Synaptic Balance: a Possible Role of Klotho. Molecular Neurobiology. 58(11). 5954–5970. 8 indexed citations
13.
Cui, Sheng, Yoo Jin Shin, Eun Jeong Ko, et al.. (2021). Human-induced pluripotent stem cell lines (CMCi006-A and CMCi007-A) from a female and male patient with Fabry disease carrying the same frameshift deletion mutation. Stem Cell Research. 51. 102214–102214. 7 indexed citations
14.
Jiang, Yu, Sheng Cui, Kang Luo, et al.. (2021). Nicotine exacerbates tacrolimus-induced renal injury by programmed cell death. The Korean Journal of Internal Medicine. 36(6). 1437–1449. 6 indexed citations
15.
Cui, Sheng, et al.. (2020). L-Carnitine protects against tacrolimus-induced renal injury by attenuating programmed cell death via PI3K/AKT/PTEN signaling. Acta Pharmacologica Sinica. 42(1). 77–87. 28 indexed citations
16.
Lim, Sun Woo, Yoo Jin Shin, Sheng Cui, et al.. (2020). Generation of a human induced pluripotent stem cell line (CMCi002-A) from a patient with Gitelman’s syndrome. Stem Cell Research. 49. 102110–102110. 6 indexed citations
17.
Lim, Sun Woo, Kang Luo, Yi Quan, et al.. (2020). The safety, immunological benefits, and efficacy of ginseng in organ transplantation. Journal of Ginseng Research. 44(3). 399–404. 10 indexed citations
18.
Li, Huiying, Jian Jin, Yan‐Ling Wu, et al.. (2020). Exogenous pancreatic kininogenase protects against renal fibrosis in rat model of unilateral ureteral obstruction. Acta Pharmacologica Sinica. 41(12). 1597–1608. 14 indexed citations
19.
Shin, Yoo Jin, Sun Woo Lim, Kang Luo, et al.. (2019). Influence of Tacrolimus on Depressive-Like Behavior in Diabetic Rats Through Brain-Derived Neurotrophic Factor Regulation in the Hippocampus. Neurotoxicity Research. 36(2). 396–410. 10 indexed citations
20.
Luo, Kang, Sun Woo Lim, Yi Quan, et al.. (2019). Role of Klotho in Chronic Calcineurin Inhibitor Nephropathy. Oxidative Medicine and Cellular Longevity. 2019. 1–7. 8 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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