Peijie Shi

478 total citations
12 papers, 359 citations indexed

About

Peijie Shi is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Peijie Shi has authored 12 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Oncology. Recurrent topics in Peijie Shi's work include Probiotics and Fermented Foods (2 papers), RNA modifications and cancer (2 papers) and Salivary Gland Disorders and Functions (2 papers). Peijie Shi is often cited by papers focused on Probiotics and Fermented Foods (2 papers), RNA modifications and cancer (2 papers) and Salivary Gland Disorders and Functions (2 papers). Peijie Shi collaborates with scholars based in China, Pakistan and Germany. Peijie Shi's co-authors include Hui Guo, Xiaokang Wu, Imran Shair Mohammad, Chaofeng Ma, Hafiz Muhammad Ishaq, Muhammad Shahzad, Jiru Xu, Haipeng Xiao, Yingying Gong and Li Xiong and has published in prestigious journals such as Frontiers in Immunology, Molecular Therapy and Journal of Hematology & Oncology.

In The Last Decade

Peijie Shi

11 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peijie Shi China 9 267 81 72 62 52 12 359
Jorge‐Tonatiuh Ayala‐Sumuano Mexico 11 160 0.6× 47 0.6× 75 1.0× 48 0.8× 38 0.7× 15 350
Colleen Cutcliffe United States 5 443 1.7× 28 0.3× 62 0.9× 44 0.7× 18 0.3× 5 478
Ji‐Han Xia China 11 179 0.7× 75 0.9× 50 0.7× 66 1.1× 43 0.8× 20 365
Daniela I. Staquicini United States 10 183 0.7× 41 0.5× 43 0.6× 49 0.8× 27 0.5× 18 374
Qiang Wei China 13 135 0.5× 23 0.3× 29 0.4× 68 1.1× 90 1.7× 49 442
Lauren C. Binge Australia 7 320 1.2× 38 0.5× 66 0.9× 105 1.7× 68 1.3× 8 535
Madhumita Bhattacharyya Germany 9 167 0.6× 47 0.6× 43 0.6× 22 0.4× 12 0.2× 16 338
Arti C. Patel United States 10 159 0.6× 62 0.8× 34 0.5× 40 0.6× 15 0.3× 11 379
Hongmei Yang China 12 179 0.7× 81 1.0× 69 1.0× 27 0.4× 11 0.2× 18 389
Carey Hobbs United States 8 200 0.7× 49 0.6× 51 0.7× 22 0.4× 14 0.3× 11 469

Countries citing papers authored by Peijie Shi

Since Specialization
Citations

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

Fields of papers citing papers by Peijie Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijie Shi

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

All Works

12 of 12 papers shown
1.
2.
Shi, Peijie, et al.. (2023). The novel function of bexarotene for neurological diseases. Ageing Research Reviews. 90. 102021–102021. 16 indexed citations
3.
Huang, Ying, Yiqun Jiao, Peijie Shi, et al.. (2022). Targeting Glycolysis in Alloreactive T Cells to Prevent Acute Graft-Versus-Host Disease While Preserving Graft-Versus-Leukemia Effect. Frontiers in Immunology. 13. 751296–751296. 7 indexed citations
4.
Gong, Yingying, Xuejie Wang, Weiman He, et al.. (2021). METTL3-m6A-Rubicon axis inhibits autophagy in nonalcoholic fatty liver disease. Molecular Therapy. 30(2). 932–946. 81 indexed citations
5.
Cheng, Zhen, Shuang Yu, Weiman He, et al.. (2021). Selenite Induces Cell Cycle Arrest and Apoptosis via Reactive Oxygen Species-Dependent Inhibition of the AKT/mTOR Pathway in Thyroid Cancer. Frontiers in Oncology. 11. 668424–668424. 14 indexed citations
6.
Shi, Peijie, Mengke Chen, Shuang Yu, et al.. (2021). The ETS Inhibitor YK-4-279 Suppresses Thyroid Cancer Progression Independent of TERT Promoter Mutations. Frontiers in Oncology. 11. 649323–649323. 10 indexed citations
7.
Wu, Liting, Li Xiong, Jin Li, et al.. (2020). Circ-Tulp4 promotes β-cell adaptation to lipotoxicity by regulating soat1 expression. Journal of Molecular Endocrinology. 65(4). 149–161. 31 indexed citations
8.
Ishaq, Hafiz Muhammad, Imran Shair Mohammad, Muhammad Shahzad, et al.. (2018). Molecular Alteration Analysis of Human Gut Microbial Composition in Graves' disease Patients. International Journal of Biological Sciences. 14(11). 1558–1570. 85 indexed citations
9.
Ishaq, Hafiz Muhammad, Imran Shair Mohammad, Hui Guo, et al.. (2017). Molecular estimation of alteration in intestinal microbial composition in Hashimoto’s thyroiditis patients. Biomedicine & Pharmacotherapy. 95. 865–874. 80 indexed citations
10.
11.
Shi, Peijie, et al.. (2016). Synergism between the mTOR inhibitor rapamycin and FAK down-regulation in the treatment of acute lymphoblastic leukemia. Journal of Hematology & Oncology. 9(1). 12–12. 11 indexed citations
12.
Liu, Xiaoye, Shuangyang Ding, Peijie Shi, et al.. (2016). Non-hemolytic enterotoxin ofBacillus cereusinduces apoptosis in Vero cells. Cellular Microbiology. 19(4). e12684–e12684. 20 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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