Bei Yun

411 total citations
17 papers, 310 citations indexed

About

Bei Yun is a scholar working on Molecular Biology, Research and Theory and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bei Yun has authored 17 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Research and Theory and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bei Yun's work include Innovations in Medical Education (4 papers), Nursing education and management (4 papers) and Bioinformatics and Genomic Networks (2 papers). Bei Yun is often cited by papers focused on Innovations in Medical Education (4 papers), Nursing education and management (4 papers) and Bioinformatics and Genomic Networks (2 papers). Bei Yun collaborates with scholars based in China, United States and Norway. Bei Yun's co-authors include Jiang‐Qi Liu, Lin Han, Xiaoyan Cai, Yan Shen, Zheng Zhao, Qiang Lv, Jun Li, Mengyao Jiang, Jie Kang and Xuefei Wang and has published in prestigious journals such as Journal of Advanced Nursing, Medicine and Cell Death and Disease.

In The Last Decade

Bei Yun

16 papers receiving 308 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 Yun China 9 97 81 52 47 43 17 310
G. Breuer Germany 10 157 1.6× 34 0.4× 40 0.8× 24 0.5× 18 0.4× 26 358
Senem Demirci Türkiye 8 38 0.4× 67 0.8× 75 1.4× 34 0.7× 13 302
Nanik Ram Pakistan 9 73 0.8× 32 0.4× 17 0.3× 77 1.6× 6 0.1× 39 322
Andrej Starc Slovenia 8 42 0.4× 17 0.2× 24 0.5× 48 1.0× 2 0.0× 20 275
Jarno Rutanen Finland 9 55 0.6× 15 0.2× 30 0.6× 24 0.5× 10 0.2× 11 261
Ahwon Jeong Canada 8 33 0.3× 22 0.3× 131 2.5× 45 1.0× 9 0.2× 15 258
Vitomir Tasevski Australia 10 79 0.8× 15 0.2× 24 0.5× 16 0.3× 62 1.4× 15 442
María Laura Rossi Argentina 6 60 0.6× 38 0.5× 58 1.1× 38 0.8× 3 0.1× 20 343
Mike Cusnir United States 8 49 0.5× 47 0.6× 128 2.5× 36 0.8× 3 0.1× 27 237
Julia M. Chandler United States 8 192 2.0× 23 0.3× 40 0.8× 68 1.4× 3 0.1× 13 356

Countries citing papers authored by Bei Yun

Since Specialization
Citations

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

Fields of papers citing papers by Bei Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Yun

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

All Works

17 of 17 papers shown
1.
Zhang, Zihan, Lei Fu, Bei Yun, et al.. (2024). Differentially localized protein identification for breast cancer based on deep learning in immunohistochemical images. Communications Biology. 7(1). 935–935. 2 indexed citations
2.
Wang, Xu, Bei Yun, Zihan Zhang, et al.. (2024). DARG: An integrated knowledge base for analyzing addictive drug-related genes. Genes & Diseases. 12(2). 101369–101369.
3.
Sun, Shibin, Hongwei Chen, Bei Yun, et al.. (2023). Identification of key genes and therapeutic drugs for cocaine addiction using integrated bioinformatics analysis. Frontiers in Neuroscience. 17. 1201897–1201897. 3 indexed citations
4.
Wu, Yuhan, et al.. (2023). The mediating effect of clinical teaching behavior on transition shock and career identity among new nurses: A cross-sectional study. Nurse Education Today. 125. 105780–105780. 18 indexed citations
5.
Wang, Haichuan, Jie Lu, Qiang Lv, et al.. (2023). Down-regulation of S1PR2 is correlated with poor prognosis and immune infiltrates in cervical squamous cell carcinoma and endocervical adenocarcinoma. International Journal of Immunopathology and Pharmacology. 37. 1200398227–1200398227. 3 indexed citations
6.
Wang, Haichuan, Yu Zhang, Yan Li, et al.. (2022). Analysis of TRIM27 prognosis value and immune infiltrates in hepatocellular carcinoma. International Journal of Immunopathology and Pharmacology. 36. 1190353082–1190353082. 3 indexed citations
7.
Fu, Lei, Kai Luo, Junjie Lv, et al.. (2022). Integrating Expression Data-Based Deep Neural Network Models with Biological Networks to Identify Regulatory Modules for Lung Adenocarcinoma. Biology. 11(9). 1291–1291. 4 indexed citations
8.
Yun, Bei, Xuchun Ye, Yuhan Wu, et al.. (2022). The relationships between clinical teaching behaviour and transition shock in newly graduated nurses. Nursing Open. 10(4). 2107–2117. 6 indexed citations
10.
Brandvik, Per Johan, et al.. (2021). Subsea Mechanical Dispersion (SSMD) a Possible New Option for the Oil Spill Response Toolbox?. International Oil Spill Conference Proceedings. 2021(1). 3 indexed citations
11.
Jiang, Mengyao, et al.. (2020). Effect of clinical teaching behaviours on transition shock in graduate nurses. Journal of Advanced Nursing. 77(2). 763–774. 23 indexed citations
12.
Jiang, Mengyao, et al.. (2020). Exercise for fatigue in breast cancer patients: An umbrella review of systematic reviews. International Journal of Nursing Sciences. 7(2). 248–254. 26 indexed citations
13.
Yun, Bei, et al.. (2020). The effectiveness of different teaching methods on medical or nursing students. Medicine. 99(40). e21668–e21668. 9 indexed citations
14.
Cai, Xiaoyan, Zheng Zhao, Qiang Lv, et al.. (2019). Circular RNA circBACH2 plays a role in papillary thyroid carcinoma by sponging miR-139-5p and regulating LMO4 expression. Cell Death and Disease. 10(3). 76 indexed citations
15.
Beall, Douglas P., et al.. (2018). Review of Vertebral Augmentation: An Updated Meta-analysis of the Effectiveness. The International Journal of Spine Surgery. 12(3). 295–321. 40 indexed citations
16.
Cai, Xiaoyan, Xuefei Wang, Jun Li, et al.. (2016). High expression of CD39 in gastric cancer reduces patient outcome following radical resection. Oncology Letters. 12(5). 4080–4086. 47 indexed citations
17.
Cai, Xiaoyan, et al.. (2015). Overexpression of CD39 and high tumoral CD39⁺/CD8⁺ ratio are associated with adverse prognosis in resectable gastric cancer.. PubMed. 8(11). 14757–64. 28 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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