Bei Zhen

2.6k total citations
21 papers, 1.2k citations indexed

About

Bei Zhen is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Bei Zhen has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Spectroscopy and 4 papers in Oncology. Recurrent topics in Bei Zhen's work include Advanced Proteomics Techniques and Applications (6 papers), Ubiquitin and proteasome pathways (4 papers) and RNA and protein synthesis mechanisms (3 papers). Bei Zhen is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Ubiquitin and proteasome pathways (4 papers) and RNA and protein synthesis mechanisms (3 papers). Bei Zhen collaborates with scholars based in China, United States and New Zealand. Bei Zhen's co-authors include Jun Qin, Wanlin Liu, Chen Ding, Lei Song, Fuchu He, Huadong Pei, Yali Chen, Changmin Peng, Dong Yang and Xiaohong Qian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Bei Zhen

19 papers receiving 1.2k 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 Zhen China 17 645 221 156 129 123 21 1.2k
Trayambak Basak India 19 527 0.8× 49 0.2× 99 0.6× 72 0.6× 101 0.8× 48 1.0k
Ricard Masia United States 27 603 0.9× 53 0.2× 224 1.4× 290 2.2× 113 0.9× 72 2.2k
Laura Rocco Carpenter United States 11 644 1.0× 36 0.2× 32 0.2× 123 1.0× 71 0.6× 13 1.1k
Joseph D. DeAngelo United States 11 728 1.1× 27 0.1× 179 1.1× 109 0.8× 114 0.9× 18 1.2k
Jir̆ı́ Petrák Czechia 25 989 1.5× 36 0.2× 128 0.8× 138 1.1× 124 1.0× 61 2.0k
Yoshio Kodera Japan 21 824 1.3× 25 0.1× 132 0.8× 201 1.6× 160 1.3× 73 1.4k
Quan Zhou China 17 607 0.9× 23 0.1× 42 0.3× 124 1.0× 121 1.0× 46 1.1k
Jianshi Yu United States 20 668 1.0× 46 0.2× 39 0.3× 172 1.3× 150 1.2× 47 1.1k
Markus K. Muellner Austria 11 474 0.7× 30 0.1× 36 0.2× 139 1.1× 78 0.6× 15 833
Bonne M. Thompson United States 20 1.1k 1.7× 44 0.2× 148 0.9× 240 1.9× 366 3.0× 35 2.0k

Countries citing papers authored by Bei Zhen

Since Specialization
Citations

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

Fields of papers citing papers by Bei Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Zhen

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Zhen. A scholar is included among the top collaborators of Bei Zhen 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 Zhen. Bei Zhen 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.
Wu, Szu‐Yuan, et al.. (2025). Treatment of Systemic Sclerosis-Associated Interstitial Lung Disease: A Systematic Review and Network Meta-Analysis. Archives of Rheumatology. 40(3). 395–406.
2.
Peng, Yihan, Wei Phin Tan, Changmin Peng, et al.. (2019). The deubiquitylating enzyme USP15 regulates homologous recombination repair and cancer cell response to PARP inhibitors. Nature Communications. 10(1). 1224–1224. 80 indexed citations
3.
Zhang, Chunchao, Tongqing Gong, Xiaotian Ni, et al.. (2018). A time-resolved multi-omic atlas of the developing mouse stomach. Nature Communications. 9(1). 4910–4910. 35 indexed citations
4.
Zhang, Chunchao, Wenchuan Leng, Changqing Sun, et al.. (2018). Urine Proteome Profiling Predicts Lung Cancer from Control Cases and Other Tumors. EBioMedicine. 30. 120–128. 92 indexed citations
5.
Tong, Mengsha, Chunyu Yu, Dongdong Zhan, et al.. (2018). Molecular subtyping of cancer and nomination of kinase candidates for inhibition with phosphoproteomics: Reanalysis of CPTAC ovarian cancer. EBioMedicine. 40. 305–317. 19 indexed citations
6.
Liu, Wanlin, Wei Lai, Jianan Sun, et al.. (2018). A reference peptide database for proteome quantification based on experimental mass spectrum response curves. Bioinformatics. 34(16). 2766–2772.
7.
Wang, Yunzhi, Lei Song, Mingwei Liu, et al.. (2018). A proteomics landscape of circadian clock in mouse liver. Nature Communications. 9(1). 1553–1553. 124 indexed citations
8.
Leng, Wenchuan, Xiaotian Ni, Changqing Sun, et al.. (2017). Proof-of-Concept Workflow for Establishing Reference Intervals of Human Urine Proteome for Monitoring Physiological and Pathological Changes. EBioMedicine. 18. 300–310. 30 indexed citations
9.
Ha, Kyungsoo, Lin Han, Lichun Tang, et al.. (2017). The anaphase promoting complex impacts repair choice by protecting ubiquitin signalling at DNA damage sites. Nature Communications. 8(1). 15751–15751. 19 indexed citations
10.
Liu, Mingwei, Rui Ge, Wanlin Liu, et al.. (2017). Differential proteomics profiling identifies LDPs and biological functions in high-fat diet-induced fatty livers. Journal of Lipid Research. 58(4). 681–694. 20 indexed citations
11.
Zhou, Quan, Mingwei Liu, Xia Xia, et al.. (2017). A mouse tissue transcription factor atlas. Nature Communications. 8(1). 15089–15089. 74 indexed citations
12.
Peng, Changmin, Yue Zhu, Wanjun Zhang, et al.. (2017). Regulation of the Hippo-YAP Pathway by Glucose Sensor O-GlcNAcylation. Molecular Cell. 68(3). 591–604.e5. 220 indexed citations
13.
Zhao, Liang, et al.. (2017). Quantitation of circulating GDF-11 and β2-MG in aged patients with age-related impairment in cognitive function. Clinical Science. 131(15). 1895–1904. 24 indexed citations
14.
Ding, Chen, Yanyan Li, Feifei Guo, et al.. (2016). A Cell-type-resolved Liver Proteome. Molecular & Cellular Proteomics. 15(10). 3190–3202. 85 indexed citations
15.
Lai, Mi, Jiwei Chen, Sai Ge, et al.. (2016). Multidimensional Proteomics Reveals a Role of UHRF2 in the Regulation of Epithelial-Mesenchymal Transition (EMT). Molecular & Cellular Proteomics. 15(7). 2263–2278. 24 indexed citations
16.
Shi, Wenhao, Kai Li, Lei Song, et al.. (2016). Transcription Factor Response Elements on Tip: A Sensitive Approach for Large-Scale Endogenous Transcription Factor Quantitative Identification. Analytical Chemistry. 88(24). 11990–11994. 10 indexed citations
17.
Ding, Chen, Doug W. Chan, Wanlin Liu, et al.. (2013). Proteome-wide profiling of activated transcription factors with a concatenated tandem array of transcription factor response elements. Proceedings of the National Academy of Sciences. 110(17). 6771–6776. 78 indexed citations
18.
Liu, Qiongming, Chen Ding, Wanlin Liu, et al.. (2012). In-depth Proteomic Characterization of Endogenous Nuclear Receptors in Mouse Liver. Molecular & Cellular Proteomics. 12(2). 473–484. 18 indexed citations
19.
Wang, Xin Wei, Min Jin, Bei Zhen, et al.. (2005). Study on the resistance of severe acute respiratory syndrome-associated coronavirus. Journal of Virological Methods. 126(1-2). 171–177. 257 indexed citations
20.
Zhen, Bei, Yajun Song, Zhaobiao Guo, et al.. (2002). [In vitro selection and affinity function of the aptamers to Bacillus anthracis spores by SELEX].. PubMed. 34(5). 635–42. 11 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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