Bao‐Ying Wen

1.0k total citations · 1 hit paper
7 papers, 840 citations indexed

About

Bao‐Ying Wen is a scholar working on Pharmacology, Molecular Biology and Pharmacology. According to data from OpenAlex, Bao‐Ying Wen has authored 7 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Bao‐Ying Wen's work include Berberine and alkaloids research (5 papers), Alkaloids: synthesis and pharmacology (3 papers) and Ginseng Biological Effects and Applications (2 papers). Bao‐Ying Wen is often cited by papers focused on Berberine and alkaloids research (5 papers), Alkaloids: synthesis and pharmacology (3 papers) and Ginseng Biological Effects and Applications (2 papers). Bao‐Ying Wen collaborates with scholars based in China, Hong Kong and United States. Bao‐Ying Wen's co-authors include Zhenxiong Zhao, Jia‐Wen Shou, Xiaoyang Li, Jian‐Dong Jiang, Yuan Lin, Chi‐Yu He, Qian Tong, Ru Feng, Jie Fu and Xinyi Yang and has published in prestigious journals such as Scientific Reports, Signal Transduction and Targeted Therapy and Metabolism.

In The Last Decade

Bao‐Ying Wen

7 papers receiving 832 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Oral berberine improves brain dopa/dopamine levels to ameliorate Parkinson’s disease by regulating gut microbiota

2021 240 citations Yan Wang, Qian Tong et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bao‐Ying Wen China	6	517	402	257	100	65	7	840
Xianfeng Zhang China	11	363 0.7×	166 0.4×	104 0.4×	111 1.1×	66 1.0×	27	681
Il-Hoon Jung South Korea	10	595 1.2×	128 0.3×	237 0.9×	90 0.9×	27 0.4×	13	785
Ou Shuai China	16	496 1.0×	262 0.7×	169 0.7×	190 1.9×	149 2.3×	20	884
Qiaohui Du China	12	412 0.8×	71 0.2×	216 0.8×	83 0.8×	49 0.8×	16	913
Jin Gao China	11	531 1.0×	147 0.4×	168 0.7×	94 0.9×	55 0.8×	15	911
Pingya Li China	23	634 1.2×	121 0.3×	345 1.3×	47 0.5×	70 1.1×	58	1.0k
Renbin Qi China	18	365 0.7×	230 0.6×	159 0.6×	72 0.7×	28 0.4×	34	906
Gui‐Lin Jin China	14	214 0.4×	136 0.3×	284 1.1×	98 1.0×	18 0.3×	26	662
Xiuyang Li China	13	381 0.7×	100 0.2×	153 0.6×	39 0.4×	57 0.9×	21	712

Countries citing papers authored by Bao‐Ying Wen

Since Specialization

Citations

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

Fields of papers citing papers by Bao‐Ying Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao‐Ying Wen

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

All Works

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7 of 7 papers shown

1.

Wang, Yan, Qian Tong, Shurong Ma, et al.. (2021). Oral berberine improves brain dopa/dopamine levels to ameliorate Parkinson’s disease by regulating gut microbiota. Signal Transduction and Targeted Therapy. 6(1). 77–77. 240 indexed citations breakdown →

2.

Liu, Huijie, Bao‐Ying Wen, Xue Han, et al.. (2021). Rotundic acid ameliorates non-alcoholic steatohepatitis via SREBP-1c/ SCD1 signaling pathway and modulating gut microbiota. International Immunopharmacology. 99. 108065–108065. 17 indexed citations

3.

Wang, Yan, Jia‐Wen Shou, Xiaoyang Li, et al.. (2017). Berberine-induced bioactive metabolites of the gut microbiota improve energy metabolism. Metabolism. 70. 72–84. 164 indexed citations

4.

Wang, Yan, Qian Tong, Jia‐Wen Shou, et al.. (2017). Gut Microbiota-Mediated Personalized Treatment of Hyperlipidemia Using Berberine. Theranostics. 7(9). 2443–2451. 113 indexed citations

5.

Feng, Ru, Xiang‐Shan Tan, Bao‐Ying Wen, et al.. (2016). Interaction effects on cytochrome P450 both in vitro and in vivo studies by two major bioactive xanthones from Halenia elliptica D. Don. Biomedical Chromatography. 30(12). 1953–1962. 3 indexed citations

6.

Feng, Ru, Jia‐Wen Shou, Zhenxiong Zhao, et al.. (2015). Transforming berberine into its intestine-absorbable form by the gut microbiota. Scientific Reports. 5(1). 12155–12155. 243 indexed citations

7.

Li, Xiaoyang, Zhenxiong Zhao, Min Huang, et al.. (2015). Effect of Berberine on promoting the excretion of cholesterol in high-fat diet-induced hyperlipidemic hamsters. Journal of Translational Medicine. 13(1). 278–278. 60 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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