Bei Shi

1.3k total citations
55 papers, 860 citations indexed

About

Bei Shi is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, Bei Shi has authored 55 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Reproductive Medicine and 9 papers in Cancer Research. Recurrent topics in Bei Shi's work include Ovarian function and disorders (7 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (5 papers). Bei Shi is often cited by papers focused on Ovarian function and disorders (7 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (5 papers). Bei Shi collaborates with scholars based in China, United States and United Kingdom. Bei Shi's co-authors include Da Li, Jiao Jiao, Xiuxia Wang, Zhan Yang, Yuanyuan Fang, Matthew Sagnelli, Jin‐Kun Wen, Dandan Wang, Tiefeng Cao and Tianren Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Langmuir.

In The Last Decade

Bei Shi

49 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Shi China 19 384 170 146 120 92 55 860
Jianzhong Zhang China 20 420 1.1× 240 1.4× 126 0.9× 77 0.6× 110 1.2× 75 1.1k
Kalyane Bach‐Ngohou France 18 209 0.5× 125 0.7× 182 1.2× 171 1.4× 205 2.2× 49 946
Chenyan Li China 20 266 0.7× 77 0.5× 80 0.5× 102 0.8× 75 0.8× 59 1.6k
Sara Franchi Italy 14 207 0.5× 41 0.2× 107 0.7× 111 0.9× 43 0.5× 32 734
W Kühn Germany 18 241 0.6× 205 1.2× 262 1.8× 97 0.8× 170 1.8× 101 1.1k
Xiaowei Ji China 15 170 0.4× 119 0.7× 56 0.4× 108 0.9× 73 0.8× 51 670
Xiaoli Chen China 17 293 0.8× 121 0.7× 34 0.2× 56 0.5× 48 0.5× 34 861
Xueyan Wu China 18 322 0.8× 54 0.3× 246 1.7× 72 0.6× 151 1.6× 82 1.1k

Countries citing papers authored by Bei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Shi. A scholar is included among the top collaborators of Bei 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 Bei Shi. Bei 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.
Liu, Weiwei, et al.. (2025). Immune Cell Dynamics in Cardiac Diseases: Insights From Single‐Cell Sequencing. Journal of Cellular and Molecular Medicine. 29(20). e70846–e70846.
2.
Feng, Di, Xiao Wang, Xinmei Wang, et al.. (2024). Association of uric acid and fructose levels in polycystic ovary syndrome. Human Reproduction. 39(11). 2575–2586.
3.
Chen, Renjie, Jialu Hu, Yixuan Jiang, et al.. (2023). Low ambient temperature increases the risk and burden of atrial fibrillation episodes: A nationwide case-crossover study in 322 Chinese cities. The Science of The Total Environment. 880. 163351–163351. 10 indexed citations
4.
Yang, Zhan, Yaxuan Wang, Jin‐Kun Wen, et al.. (2023). SF3B4 promotes Twist1 expression and clear cell renal cell carcinoma progression by facilitating the export of KLF 16 mRNA from the nucleus to the cytoplasm. Cell Death and Disease. 14(1). 26–26. 15 indexed citations
5.
Shi, Bei, et al.. (2023). The role of long non-coding RNA H19 in infertility. Cell Death Discovery. 9(1). 268–268. 10 indexed citations
6.
Wang, Yan, Yu Zhang, Jiao Li, et al.. (2023). Hypoxia Induces M2 Macrophages to Express VSIG4 and Mediate Cardiac Fibrosis After Myocardial Infarction. Theranostics. 13(7). 2192–2209. 36 indexed citations
7.
Zhang, Yuanyuan, Bei Shi, Jiahui Song, et al.. (2022). Let-7 underlies metformin-induced inhibition of hepatic glucose production. Proceedings of the National Academy of Sciences. 119(14). e2122217119–e2122217119. 16 indexed citations
8.
Song, Jiahui, et al.. (2022). Association of galactose and insulin resistance in polycystic ovary syndrome: A case-control study. EClinicalMedicine. 47. 101379–101379. 6 indexed citations
9.
Wang, Wenke, Bei Shi, Jiahui Song, et al.. (2022). RING-finger E3 ligases regulatory network in PI3K/AKT-mediated glucose metabolism. Cell Death Discovery. 8(1). 372–372. 32 indexed citations
10.
Song, Jiahui, et al.. (2022). Elevated Serum Leptin Levels as a Predictive Marker for Polycystic Ovary Syndrome. Frontiers in Endocrinology. 13. 845165–845165. 35 indexed citations
11.
Wang, Yanjie, et al.. (2022). Mapping the research hotspots and theme trends of simulation in nursing education: A bibliometric analysis from 2005 to 2019. Nurse Education Today. 116. 105426–105426. 19 indexed citations
12.
Shi, Bei, et al.. (2021). Revealing the Mechanism of Friedelin in the Treatment of Ulcerative Colitis Based on Network Pharmacology and Experimental Verification. Evidence-based Complementary and Alternative Medicine. 2021. 1–14. 15 indexed citations
13.
Zhu, Meng, Bei Shi, Hong Zhang, et al.. (2021). A Novel ZNF304/miR-183-5p/FOXO4 Pathway Regulates Cell Proliferation in Clear Cell Renal Carcinoma. Frontiers in Oncology. 11. 710525–710525. 12 indexed citations
14.
Qi, Jin‐Chun, Zhan Yang, Tao Lin, et al.. (2021). CDK13 upregulation-induced formation of the positive feedback loop among circCDK13, miR-212-5p/miR-449a and E2F5 contributes to prostate carcinogenesis. Journal of Experimental & Clinical Cancer Research. 40(1). 2–2. 41 indexed citations
15.
Yu, Yang, Reji Babygirija, Bei Shi, et al.. (2021). Electro-Acupuncture Attenuates Chronic Stress Responses via Up-Regulated Central NPY and GABAA Receptors in Rats. Frontiers in Neuroscience. 14. 629003–629003. 9 indexed citations
16.
Shi, Bei, Bo Sun, Qiufeng Zhao, & Xiaoyun Zhang. (2020). EUS diagnosis of rectal endometriosis. VideoGIE. 6(2). 105–107. 1 indexed citations
17.
Feng, Di, Bei Shi, Fangfang Bi, et al.. (2019). Elevated Serum Mannose Levels as a Marker of Polycystic Ovary Syndrome. Frontiers in Endocrinology. 10. 711–711. 9 indexed citations
18.
Yuan, Jianye, et al.. (2018). Qingchang Suppository Ameliorates Colonic Vascular Permeability in Dextran-Sulfate-Sodium-Induced Colitis. Frontiers in Pharmacology. 9. 1235–1235. 29 indexed citations
19.
Zhao, Fangkun, Bei Shi, Ruixin Liu, et al.. (2018). Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis. BMC Ophthalmology. 18(1). 86–86. 37 indexed citations
20.
Zhu, Hui, et al.. (2008). Gastrointestinal tract lymphangiomas: findings at CT and endoscopic imaging with histopathologic correlation. Abdominal Imaging. 33(6). 662–668. 18 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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