Ming Shi

1.6k total citations
22 papers, 551 citations indexed

About

Ming Shi is a scholar working on Molecular Biology, Nephrology and Neurology. According to data from OpenAlex, Ming Shi has authored 22 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Nephrology and 4 papers in Neurology. Recurrent topics in Ming Shi's work include Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Ming Shi is often cited by papers focused on Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Ming Shi collaborates with scholars based in China and United States. Ming Shi's co-authors include David A. Foster, Zheng Yang, Hui Li, Yingjie Shen, Vanessa Rodrik-Outmezguine, Alfredo Toschi, Li Liu, Jing Liu, Chun Zhang and Xiaoping Miao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American Society of Nephrology and Journal of Cellular Physiology.

In The Last Decade

Ming Shi

20 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Shi China 10 199 194 140 105 77 22 551
Song Tong China 11 223 1.1× 205 1.1× 70 0.5× 104 1.0× 11 0.1× 24 506
Lusia Sepiashvili Canada 10 160 0.8× 138 0.7× 79 0.6× 66 0.6× 13 0.2× 28 485
Zsolt Fejes Hungary 15 183 0.9× 107 0.6× 34 0.2× 73 0.7× 18 0.2× 41 612
Alfonso Amore Italy 16 99 0.5× 43 0.2× 184 1.3× 69 0.7× 23 0.3× 38 580
Lucía Tejedor-Santamaria Spain 10 172 0.9× 78 0.4× 26 0.2× 24 0.2× 72 0.9× 22 415
Hua Shui China 8 71 0.4× 121 0.6× 57 0.4× 71 0.7× 56 0.7× 16 307
Matthias Herrmann Germany 8 233 1.2× 101 0.5× 85 0.6× 50 0.5× 10 0.1× 29 747
Zhenwei Yang China 13 208 1.0× 201 1.0× 106 0.8× 135 1.3× 4 0.1× 35 618
Hongquan Guan China 11 280 1.4× 334 1.7× 99 0.7× 210 2.0× 7 0.1× 15 794

Countries citing papers authored by Ming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Shi. A scholar is included among the top collaborators of Ming 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 Ming Shi. Ming 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.
Pan, Mingming, Min Gao, Yan Xu, et al.. (2025). Efficacy and safety of HSK21542 for pruritus management in hemodialysis patients: a multicenter, randomized, double-blind, placebo-controlled trial. Frontiers in Pharmacology. 16. 1583515–1583515.
2.
Zhang, Jing, et al.. (2024). Human milk microbiota and oligosaccharides in colostrum and mature milk: comparison and correlation. Frontiers in Nutrition. 11. 1512700–1512700. 1 indexed citations
3.
Pan, Mingming, Li Zhou, Yan Xu, et al.. (2023). Safety and effectiveness of HSK21542 for hemodialysis patients: a multiple ascending dose study. Frontiers in Pharmacology. 14. 1203642–1203642. 5 indexed citations
4.
Luo, Qiang, et al.. (2023). Dihydroxyacetone phosphate accumulation leads to podocyte pyroptosis in diabetic kidney disease. Journal of Cellular and Molecular Medicine. 28(3). e18073–e18073. 9 indexed citations
5.
Su, Ke, Yiqiong Ma, Yujuan Wang, et al.. (2020). How we mitigated and contained the COVID-19 outbreak in a hemodialysis center: Lessons and experience. Infection Control and Hospital Epidemiology. 41(10). 1240–1242. 17 indexed citations
6.
Li, Sheng, et al.. (2020). miR-96-5p attenuates malathion-induced apoptosis of human kidney cells by targeting the ER stress marker DDIT3. Journal of Environmental Science and Health Part B. 55(12). 1080–1086. 10 indexed citations
7.
Xiong, Fei, Hui Tang, Li Liu, et al.. (2020). Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China. Journal of the American Society of Nephrology. 31(7). 1387–1397. 190 indexed citations
9.
Gao, Zhao, Xinghua Chen, Yanqin Fan, et al.. (2019). Sirt6 attenuates hypoxia‐induced tubular epithelial cell injury via targeting G2/M phase arrest. Journal of Cellular Physiology. 235(4). 3463–3473. 25 indexed citations
10.
Wang, Yong, Xiangmei Chen, Guangyan Cai, et al.. (2017). In vivo and in vitro performance of a China-made hemodialysis machine: a multi-center prospective controlled study. BioMedical Engineering OnLine. 16(1). 96–96. 8 indexed citations
11.
Zhang, He, Linhua Liu, Ming Shi, Xiaoshan Liu, & Huanwen Tang. (2015). [Sphingosine kinase 1 promotes glioma cell proliferation under hypoxia via calcium signaling].. PubMed. 35(7). 1014–8. 1 indexed citations
12.
Wang, Cairong, et al.. (2015). HMGB1 Turns Renal Tubular Epithelial Cells into Inflammatory Promoters by Interacting with TLR4 During Sepsis. Journal of Interferon & Cytokine Research. 36(1). 9–19. 32 indexed citations
13.
Cheng, Hui, Cheng Chen, Siyuan Wang, Guohua Ding, & Ming Shi. (2013). The effects of urokinase-type plasminogen activator (uPA) on cell proliferation and phenotypic transformation of rat mesangial cells induced by high glucose. Diabetes Research and Clinical Practice. 103(3). 489–495. 5 indexed citations
14.
Shi, Ming, Zheng Yang, Avalon Garcia, Lizhong Xu, & David A. Foster. (2007). Phospholipase D provides a survival signal in human cancer cells with activated H-Ras or K-Ras. Cancer Letters. 258(2). 268–275. 56 indexed citations
15.
Shi, Ming, Ling Zhang, Hongtao Gu, et al.. (2007). Efficient growth inhibition of ErbB2-overexpressing tumor cells by anti-ErbB2 ScFv-Fc-IL-2 fusion protein in vitro and in vivo. Acta Pharmacologica Sinica. 28(10). 1611–1620. 8 indexed citations
16.
Yang, Zheng, Vanessa Rodrik-Outmezguine, Alfredo Toschi, et al.. (2006). Phospholipase D Couples Survival and Migration Signals in Stress Response of Human Cancer Cells. Journal of Biological Chemistry. 281(23). 15862–15868. 109 indexed citations
17.
Song, Yuhua, Santai Song, Dong Zhang, et al.. (2006). An association of a simultaneous nuclear and cytoplasmic localization of Fra-1 with breast malignancy. BMC Cancer. 6(1). 298–298. 27 indexed citations
18.
Chen, Liyong, Zhigang Xie, Yan Teng, et al.. (2004). Highly efficient selection of the stable clones expressing antibody–IL-2 fusion protein by a dicistronic expression vector containing a mutant neo gene. Journal of Immunological Methods. 295(1-2). 49–56. 11 indexed citations
19.
Li, Xiang, et al.. (2004). [Study on the inducible expression of toll-like receptors in human bladder cell line].. PubMed. 35(3). 340–2. 3 indexed citations
20.
Ding, Guohua, et al.. (2004). [Angiotensin II-induced podocyte apoptosis: role of the MAPK subtypes].. PubMed. 36(2). 131–4. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026