Shaolin Shi

3.9k total citations
70 papers, 3.1k citations indexed

About

Shaolin Shi is a scholar working on Molecular Biology, Nephrology and Immunology. According to data from OpenAlex, Shaolin Shi has authored 70 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 25 papers in Nephrology and 11 papers in Immunology. Recurrent topics in Shaolin Shi's work include Renal Diseases and Glomerulopathies (22 papers), Renal and related cancers (9 papers) and Developmental Biology and Gene Regulation (9 papers). Shaolin Shi is often cited by papers focused on Renal Diseases and Glomerulopathies (22 papers), Renal and related cancers (9 papers) and Developmental Biology and Gene Regulation (9 papers). Shaolin Shi collaborates with scholars based in China, United States and Japan. Shaolin Shi's co-authors include Pamela Stanley, Erwin P. Böttinger, Liping Yu, Zhihong Liu, Mark Stahl, Ilse S. Daehn, Detlef Schlöndorff, Vivette D. D’Agati, Yezhou Sun and Changhui Ge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Shaolin Shi

67 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaolin Shi China 31 2.0k 825 515 502 312 70 3.1k
Peter S. Choi United States 27 2.4k 1.2× 491 0.6× 245 0.5× 400 0.8× 380 1.2× 45 4.3k
Finian Martin Ireland 37 2.5k 1.2× 549 0.7× 335 0.7× 506 1.0× 653 2.1× 75 4.0k
Michele Sanicola United States 24 2.0k 1.0× 722 0.9× 345 0.7× 143 0.3× 224 0.7× 32 3.5k
Yohei Tominaga Japan 29 2.2k 1.1× 740 0.9× 163 0.3× 582 1.2× 633 2.0× 83 3.6k
Bjoern Buchholz Germany 23 1.1k 0.5× 255 0.3× 304 0.6× 416 0.8× 845 2.7× 47 2.2k
Jacqueline Ho United States 24 1.9k 0.9× 224 0.3× 167 0.3× 721 1.4× 374 1.2× 53 2.5k
Chet E. Holterman Canada 19 949 0.5× 268 0.3× 252 0.5× 307 0.6× 131 0.4× 36 1.6k
Katsuhiko Asanuma Japan 29 1.5k 0.8× 2.6k 3.2× 436 0.8× 122 0.2× 668 2.1× 89 4.0k
Masashi Isshiki Japan 17 2.7k 1.3× 307 0.4× 404 0.8× 659 1.3× 169 0.5× 36 3.8k
George B. John United States 15 1.6k 0.8× 547 0.7× 123 0.2× 138 0.3× 562 1.8× 20 2.6k

Countries citing papers authored by Shaolin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shaolin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolin Shi. A scholar is included among the top collaborators of Shaolin Shi 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 Shaolin Shi. Shaolin Shi 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.
Yu, Yingying, et al.. (2025). A Mechanics Model for Contact with Rough Surface Considering the Interaction of Micro-Asperity Bodies. Lubricants. 13(3). 96–96. 1 indexed citations
2.
Zhang, Jing, Zhaojun Liu, Yue Guo, et al.. (2025). Functional genomics reveals adipose-kidney crosstalk as a contributor to kidney fibrosis via the OSM-OSMR pathway. Functional & Integrative Genomics. 25(1). 114–114.
3.
Shi, Wanting, et al.. (2023). Regulon analysis identifies protective FXR and CREB5 in proximal tubules in early diabetic kidney disease. BMC Nephrology. 24(1). 180–180. 7 indexed citations
4.
Zhang, Jing, Kun Xu, Ke Wei, et al.. (2023). Dynamic chromatin landscape encodes programs for perinatal transition of cardiomyocytes. Cell Death Discovery. 9(1). 11–11. 3 indexed citations
5.
Wu, Junnan, Xiaodong Zhu, Hui Song, et al.. (2021). A novel approach to identify the mechanism of miR-145-5p toxicity to podocytes based on the essential genes targeting analysis. Molecular Therapy — Nucleic Acids. 26. 749–759. 9 indexed citations
6.
Lu, Yinghui, Rong Tang, Xiaodong Xu, et al.. (2021). MicroRNA-30 regulates left ventricular hypertrophy in chronic kidney disease. JCI Insight. 6(10). 17 indexed citations
7.
Sun, Mengjie, Hui Song, Yuting Ye, et al.. (2018). Differential toxicities of triptolide to immortalized podocytes and the podocytes in vivo. Biomedicine & Pharmacotherapy. 109. 2375–2386. 7 indexed citations
8.
Zhao, Yue, Junnan Wu, Mingchao Zhang, et al.. (2017). Angiotensin II induces calcium/calcineurin signaling and podocyte injury by downregulating microRNA-30 family members. Journal of Molecular Medicine. 95(8). 887–898. 26 indexed citations
9.
Lu, Yuqiu, Yuting Ye, Qianqian Yang, & Shaolin Shi. (2017). Single-cell RNA-sequence analysis of mouse glomerular mesangial cells uncovers mesangial cell essential genes. Kidney International. 92(2). 504–513. 54 indexed citations
10.
Chen, Zhaohong, Xiaoyang Wan, Qi Hou, et al.. (2016). GADD45B mediates podocyte injury in zebrafish by activating the ROS-GADD45B-p38 pathway. Cell Death and Disease. 7(1). e2068–e2068. 37 indexed citations
11.
Lu, Yuqiu, Hong Xia, Yuting Ye, et al.. (2015). Circulating Mitochondrial DAMPs Are Not Effective Inducers of Proteinuria and Kidney Injury in Rodents. PLoS ONE. 10(4). e0124469–e0124469. 16 indexed citations
12.
Zhang, Changming, et al.. (2014). Plasma MicroRNA-186 and Proteinuria in Focal Segmental Glomerulosclerosis. American Journal of Kidney Diseases. 65(2). 223–232. 46 indexed citations
13.
Zhang, Changming, Huimei Chen, Limin Li, et al.. (2014). Evaluation of MicroRNAs miR-196a, miR-30a-5P, and miR-490 as Biomarkers of Disease Activity among Patients with FSGS. Clinical Journal of the American Society of Nephrology. 9(9). 1545–1552. 72 indexed citations
14.
Chandrasekharan, Kumaran, Shaolin Shi, Mark Stahl, et al.. (2008). O-fucosylation of muscle agrin determines its ability to cluster acetylcholine receptors. Molecular and Cellular Neuroscience. 39(3). 452–464. 31 indexed citations
15.
Stahl, Mark, Changhui Ge, Shaolin Shi, Richard G. Pestell, & Pamela Stanley. (2006). Notch1-Induced Transformation of RKE-1 Cells Requires Up-regulation of Cyclin D1. Cancer Research. 66(15). 7562–7570. 40 indexed citations
16.
Robinson, Gertraud W., Cyril Martin, Shaolin Shi, et al.. (2006). The canonical Notch/RBP-J signaling pathway controls the balance of cell lineages in mammary epithelium during pregnancy. Developmental Biology. 293(2). 565–580. 112 indexed citations
17.
Shi, Shaolin & Pamela Stanley. (2006). Evolutionary Origins of Notch Signaling in Early Development. Cell Cycle. 5(3). 274–278. 24 indexed citations
18.
Shi, Shaolin, Suzannah A. Williams, Henry Kurniawan, Linchao Lu, & Pamela Stanley. (2005). Roles of Complex and Hybrid N-Glycans and O-Fucose Glycans in Oocyte Development and Function. Advances in experimental medicine and biology. 564. 99–100. 2 indexed citations
19.
Shi, Shaolin & Pamela Stanley. (2003). Protein O -fucosyltransferase 1 is an essential component of Notch signaling pathways. Proceedings of the National Academy of Sciences. 100(9). 5234–5239. 312 indexed citations
20.
Wu, Guojun, et al.. (1997). Preliminary study on the loss of heterozygosity at 17p13 in gastric and colorectal cancers. World Journal of Gastroenterology. 3(3). 160–162. 3 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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