Mingjun Shi

5.2k total citations · 3 hit papers
64 papers, 4.1k citations indexed

About

Mingjun Shi is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Mingjun Shi has authored 64 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nephrology, 33 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Mingjun Shi's work include Parathyroid Disorders and Treatments (22 papers), Chronic Kidney Disease and Diabetes (12 papers) and TGF-β signaling in diseases (10 papers). Mingjun Shi is often cited by papers focused on Parathyroid Disorders and Treatments (22 papers), Chronic Kidney Disease and Diabetes (12 papers) and TGF-β signaling in diseases (10 papers). Mingjun Shi collaborates with scholars based in China, United States and Japan. Mingjun Shi's co-authors include Orson W. Moe, Ming Chang Hu, Makoto Kuro‐o, Jianning Zhang, Henry Quiñones, Carolyn Griffith, Teruyo Nakatani, Mohammed S. Razzaque, Ying Xiao and Ming‐Chang Hu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Mingjun Shi

61 papers receiving 4.0k citations

Hit Papers

Klotho Deficiency Causes Vascular Calcification in Chroni... 2010 2026 2015 2020 2010 2018 2010 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
Mingjun Shi China 26 2.6k 1.2k 1.2k 573 527 64 4.1k
Atsushi Shioi Japan 36 2.2k 0.9× 1.5k 1.2× 694 0.6× 623 1.1× 771 1.5× 97 5.3k
Ryo Okazaki Japan 29 994 0.4× 975 0.8× 491 0.4× 482 0.8× 425 0.8× 78 3.1k
Zhousheng Xiao United States 35 990 0.4× 1.9k 1.6× 1.1k 0.9× 413 0.7× 250 0.5× 69 3.4k
Weichun He China 33 1.3k 0.5× 2.0k 1.7× 375 0.3× 459 0.8× 106 0.2× 55 3.9k
Romuald Mentaverri France 35 828 0.3× 1.2k 1.0× 254 0.2× 380 0.7× 423 0.8× 76 3.2k
Roderick J. Tan United States 34 1.3k 0.5× 1.7k 1.4× 393 0.3× 295 0.5× 198 0.4× 63 4.2k
Elena Ambrogini United States 23 834 0.3× 1.5k 1.3× 574 0.5× 292 0.5× 143 0.3× 42 3.0k
Justin Silver Israel 30 3.2k 1.2× 1.3k 1.1× 1.5k 1.3× 1.0k 1.8× 926 1.8× 83 4.3k
Changli Wei United States 27 2.9k 1.1× 1.2k 1.0× 358 0.3× 663 1.2× 88 0.2× 61 4.2k
Craig R. Brooks United States 25 1.5k 0.6× 2.5k 2.1× 307 0.3× 495 0.9× 123 0.2× 44 4.6k

Countries citing papers authored by Mingjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Shi. A scholar is included among the top collaborators of Mingjun 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 Mingjun Shi. Mingjun 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
2.
Jia, Jing, Xiaoxiao Xu, Fangfang Wang, et al.. (2025). Alpha-lipoamide prevents acute kidney injury in mouse by inhibiting renal tubular epithelial cell pyroptosis. Biochemical Pharmacology. 237. 116942–116942. 1 indexed citations
3.
Song, Lingyu, Yali Huang, Guifang Wang, et al.. (2025). Meteorin-like alleviates hepatic steatosis by regulating hepatic triglyceride secretion and fatty acid oxidation. Cell Reports. 44(2). 115246–115246. 6 indexed citations
4.
Zhang, Tian, Ke‐Gang Linghu, Jia Tan, et al.. (2024). TIGAR exacerbates obesity by triggering LRRK2-mediated defects in macroautophagy and chaperone-mediated autophagy in adipocytes. Autophagy. 20(8). 1741–1761. 7 indexed citations
5.
Shi, Mingjun, et al.. (2024). HNF-1β alleviates podocyte injury in lupus nephritis by maintaining endoplasmic reticulum homeostasis. Lupus Science & Medicine. 11(2). e001349–e001349. 4 indexed citations
6.
Cheng, Zhijian, Wenjiao Tai, Mingjun Shi, et al.. (2024). Targeting foamy macrophages by manipulating ABCA1 expression to facilitate lesion healing in the injured spinal cord. Brain Behavior and Immunity. 119. 431–453. 6 indexed citations
7.
Zhou, Xingcheng, Dan Wang, Rongyu Chen, et al.. (2023). miR ‐124‐3p improves mitochondrial function of renal tubular epithelial cells in db/db mice. The FASEB Journal. 37(3). e22794–e22794. 12 indexed citations
8.
Zhang, Huifang, Huiming Liu, Dan Wang, et al.. (2022). Alpha lipoamide inhibits diabetic kidney fibrosis via improving mitochondrial function and regulating RXRα expression and activation. Acta Pharmacologica Sinica. 44(5). 1051–1065. 27 indexed citations
9.
Wei, Peng, Xingcheng Zhou, Tingting Xu, et al.. (2022). BMP-7 ameliorates partial epithelial-mesenchymal transition by restoring SnoN protein level via Smad1/5 pathway in diabetic kidney disease. Cell Death and Disease. 13(3). 254–254. 26 indexed citations
10.
Liang, Dan, Zhiyang Li, Fan Zhang, et al.. (2022). BMP-7 Upregulates Id2 Through the MAPK Signaling Pathway to Improve Diabetic Tubulointerstitial Fibrosis and the Intervention of Oxymatrine. Frontiers in Pharmacology. 13. 900346–900346. 10 indexed citations
12.
Xie, Ying, Yuanyuan Ruan, Yixin Wang, et al.. (2021). YAP1 Overexpression Is Associated with Kidney Dysfunction in Lupus Nephritis. Pathobiology. 88(6). 412–423. 4 indexed citations
13.
Flores, Brianna, et al.. (2020). High Phosphate Induces and Klotho Attenuates Kidney Epithelial Senescence and Fibrosis. Frontiers in Pharmacology. 11. 1273–1273. 29 indexed citations
14.
Wei, Peng, Huiming Liu, Dan Wang, et al.. (2020). Autophagy-related protein EI24 delays the development of pulmonary fibrosis by promoting autophagy. Life Sciences. 264. 118664–118664. 11 indexed citations
15.
Xiao, Ying, Can Peng, Dan Liang, et al.. (2020). Oxymatrine Inhibits Twist-Mediated Renal Tubulointerstitial Fibrosis by Upregulating Id2 Expression. Frontiers in Physiology. 11. 599–599. 16 indexed citations
16.
Liu, Xingmei, Yingying Zhang, Mingjun Shi, et al.. (2018). Notch1 regulates PTEN expression to exacerbate renal tubulointerstitial fibrosis in diabetic nephropathy by inhibiting autophagy via interactions with Hes1. Biochemical and Biophysical Research Communications. 497(4). 1110–1116. 33 indexed citations
17.
Fernández, Álvaro F., Salwa Sebti, Yongjie Wei, et al.. (2018). Disruption of the beclin 1–BCL2 autophagy regulatory complex promotes longevity in mice. Nature. 558(7708). 136–140. 492 indexed citations breakdown →
18.
Hu, Ming Chang, Mingjun Shi, & Orson W. Moe. (2018). Role of αKlotho and FGF23 in regulation of type II Na-dependent phosphate co-transporters. Pflügers Archiv - European Journal of Physiology. 471(1). 99–108. 38 indexed citations
19.
Bian, Ao, Mingjun Shi, Brianna Flores, et al.. (2017). Downregulation of autophagy is associated with severe ischemia-reperfusion-induced acute kidney injury in overexpressing C-reactive protein mice. PLoS ONE. 12(9). e0181848–e0181848. 36 indexed citations
20.
Hu, Ming‐Chang, Mingjun Shi, Jianning Zhang, et al.. (2010). Klotho deficiency is an early biomarker of renal ischemia–reperfusion injury and its replacement is protective. Kidney International. 78(12). 1240–1251. 315 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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