Beibei Wen

788 total citations
24 papers, 583 citations indexed

About

Beibei Wen is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Beibei Wen has authored 24 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 13 papers in Molecular Biology and 4 papers in Biological Psychiatry. Recurrent topics in Beibei Wen's work include Tea Polyphenols and Effects (15 papers), Plant Gene Expression Analysis (6 papers) and Gut microbiota and health (5 papers). Beibei Wen is often cited by papers focused on Tea Polyphenols and Effects (15 papers), Plant Gene Expression Analysis (6 papers) and Gut microbiota and health (5 papers). Beibei Wen collaborates with scholars based in China, Saudi Arabia and India. Beibei Wen's co-authors include Jianan Huang, Dongmin Liu, Luo Yong, Zhonghua Liu, Wenliang Wu, Hongliang Zeng, Zhonghua Liu, Haiyan Lin, Kunbo Wang and Mingzhi Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Beibei Wen

21 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beibei Wen China 14 333 222 98 90 86 24 583
Diana Bunzel Germany 10 425 1.3× 106 0.5× 241 2.5× 114 1.3× 85 1.0× 21 830
Wenliang Wu China 14 222 0.7× 460 2.1× 71 0.7× 206 2.3× 39 0.5× 29 705
Yanni Pan China 17 335 1.0× 73 0.3× 88 0.9× 50 0.6× 68 0.8× 39 671
Shang‐Zhen Li China 10 364 1.1× 40 0.2× 115 1.2× 106 1.2× 139 1.6× 15 608
Shizuka Tamaru Japan 16 126 0.4× 172 0.8× 116 1.2× 134 1.5× 57 0.7× 30 608
Nicole Hidalgo‐Liberona Spain 13 378 1.1× 86 0.4× 279 2.8× 176 2.0× 71 0.8× 22 829
Erika Kwek Hong Kong 16 359 1.1× 65 0.3× 171 1.7× 56 0.6× 78 0.9× 21 638
Zhipeng Kan China 6 134 0.4× 329 1.5× 26 0.3× 171 1.9× 29 0.3× 9 477
Austin Ly United States 5 213 0.6× 93 0.4× 108 1.1× 53 0.6× 25 0.3× 9 403
Aki Kusumoto Japan 11 206 0.6× 78 0.4× 82 0.8× 53 0.6× 76 0.9× 12 512

Countries citing papers authored by Beibei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Wen. A scholar is included among the top collaborators of Beibei Wen 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 Beibei Wen. Beibei Wen 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
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Wei, Qi, Xiaobo Liu, Shenfei Long, et al.. (2025). Exploration of the substances and key processing steps related to the sweetness of Niangniang tea. Food Chemistry X. 28. 102556–102556.
4.
Sun, Xinyi, et al.. (2025). The impact of the unique two-stage bunch-drying on the formation of the floral aroma of Niangniang tea. Food Chemistry X. 32. 103345–103345.
5.
Wang, Shaoying, Qi Wei, Longfu Zhu, et al.. (2024). Integrated metabolome and transcriptome analysis provides insights into the mechanisms of terpenoid biosynthesis in tea plants (Camellia sinensis). Food Research International. 201. 115542–115542. 11 indexed citations
6.
Yang, Yun, Peng Ye, Shaoying Wang, et al.. (2023). Biosynthesis and the Transcriptional Regulation of Terpenoids in Tea Plants (Camellia sinensis). International Journal of Molecular Sciences. 24(8). 6937–6937. 46 indexed citations
7.
Wang, Shaoying, et al.. (2023). Genome-Wide Identification and Expression Analysis of the RADIALIS-like Gene Family in Camellia sinensis. Plants. 12(17). 3039–3039. 1 indexed citations
8.
Liu, Jianjun, et al.. (2022). Molecular and Metabolic Changes under Environmental Stresses: The Biosynthesis of Quality Components in Preharvest Tea Shoots. Horticulturae. 8(2). 173–173. 6 indexed citations
9.
Luo, Yong, Xiaofeng Song, Beibei Wen, et al.. (2022). Identification of a WRKY transcriptional activator from Camellia sinensis that regulates methylated EGCG biosynthesis. Horticulture Research. 9. 28 indexed citations
10.
Li, Xiuping, Jian Ouyang, Ronggang Jiang, et al.. (2021). The protective effects of yellow tea extract against loperamide-induced constipation in mice. Food & Function. 12(12). 5621–5636. 40 indexed citations
11.
Zhang, Xiangna, Ligui Xiong, Yong Luo, et al.. (2021). Identification, Molecular Characteristic, and Expression Analysis of PIFs Related to Chlorophyll Metabolism in Tea Plant (Camellia sinensis). International Journal of Molecular Sciences. 22(20). 10949–10949. 9 indexed citations
12.
Cao, Dan, Yanli Liu, Zhonghua Liu, et al.. (2021). Genome-wide identification and characterization of phosphate transporter gene family members in tea plants (Camellia sinensis L. O. kuntze) under different selenite levels. Plant Physiology and Biochemistry. 166. 668–676. 20 indexed citations
13.
Liu, Dongmin, Jianhui Wang, Hongliang Zeng, et al.. (2021). The metabolic regulation of Fuzhuan brick tea in high-fat diet-induced obese mice and the potential contribution of gut microbiota. Food & Function. 13(1). 356–374. 27 indexed citations
14.
Wen, Beibei, Yong Luo, Dongmin Liu, et al.. (2020). The R2R3-MYB transcription factor CsMYB73 negatively regulates l-Theanine biosynthesis in tea plants (Camellia sinensis L.). Plant Science. 298. 110546–110546. 47 indexed citations
15.
Wen, Beibei, Juan Li, Yong Luo, et al.. (2020). Identification and expression profiling of MYB transcription factors related to l-theanine biosynthesis in Camellia sinensis. International Journal of Biological Macromolecules. 164. 4306–4317. 10 indexed citations
16.
Liu, Dongmin, Beibei Wen, Luo Yong, et al.. (2019). Antibiotics-induced perturbations in gut microbial diversity influence metabolic phenotypes in a murine model of high-fat diet-induced obesity. Applied Microbiology and Biotechnology. 103(13). 5269–5283. 51 indexed citations
17.
Zeng, Xin, et al.. (2019). Transcriptional study of the enhanced ε-poly-l-lysine productivity in culture using glucose and glycerol as a mixed carbon source. Bioprocess and Biosystems Engineering. 42(4). 555–566. 18 indexed citations
18.
Zhu, Mingzhi, Beibei Wen, Hao Wu, et al.. (2019). The Quality Control of Tea by Near-Infrared Reflectance (NIR) Spectroscopy and Chemometrics. SHILAP Revista de lepidopterología. 2019. 1–11. 48 indexed citations
19.
Heng, Yang, Beibei Wen, Xin Zheng, et al.. (2018). Inhibition by microbial metabolites of Chinese dark tea of age-related neurodegenerative disorders in senescence-accelerated mouse prone 8 (SAMP8) mice. Food & Function. 9(10). 5455–5462. 27 indexed citations
20.
Pan, Li, Xiaoyin Ma, Beibei Wen, et al.. (2015). Microphthalmia‐associated transcription factor/T‐box factor‐2 axis acts through Cyclin D1 to regulate melanocyte proliferation. Cell Proliferation. 48(6). 631–642. 13 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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