Binyu Wen

515 citations
24 papers · 421 · h-index 11

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Natural product bioactivities and synthesis 3
    • Bioactive natural compounds 2
    • Drug-Induced Hepatotoxicity and Protection 3
    • Pharmacological Effects of Natural Compounds 3

Binyu Wen

20 papers receiving 417 citations

Peers

Binyu Wen
Comparison fields: 5 of 87
  • Pharmacology 80
  • Complementary and alternative medicine 43
  • Pharmacology 85
  • Biochemistry 17
  • Analytical Chemistry 23
Replace Wen-Te Chang with:
Wen-Te Chang Taiwan
Yuze Li China
Fuguo Shi China
Jingkun Wang China
Brian Chi‐Yan Cheng Hong Kong
Ayaz Shahid United States
Herong Cui China
Feiya Sheng China
Binyu Wen relative to Wen-Te Chang Taiwan Wen-Te Chang's profile →
Citations per field
00.5×3.8×
Wen-Te Chang · 1×
Citations per year

Countries citing papers authored by Binyu Wen

Since Specialization
Citations

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

Fields of papers citing papers by Binyu Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Binyu Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Binyu Wen Line = papers co-authored together Binyu Wen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018154
2 201743
3 200940
4 202032
5 202431
6 202025
7 201319
8 200715
9 201714
10 202113
11 201511
12 20105
13 20234
14 20223
15 20253
16 20113
17
[Metabolic kinetic of puerarin in beagle liver microsomal by HPLC-ESI-MS].
20082
18 20132
19 20241
20 20251

About Binyu Wen

Binyu Wen is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Plant Science and Pharmacology, having authored 24 papers that have together received 421 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Traditional Chinese Medicine Analysis (3 papers), Natural product bioactivities and synthesis (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Phytochemistry and biological activity of medicinal plants (2 papers), Phytochemistry and Biological Activities (2 papers) and Bioactive natural compounds (2 papers). The work is most often cited by research in Pharmacology (80 citations), Complementary and alternative medicine (43 citations), Pharmacology (85 citations), Biochemistry (17 citations) and Analytical Chemistry (23 citations). Binyu Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Le Wang, Zhichen Zhang, Zhongjun Chen, Gesheng Wang, Sicen Wang, Langchong He, Shuang‐Cheng Ma, Juntian Liu, Na Wang and Jian Gao. Their work appears in journals such as ACS Omega, Analytical Letters, Journal of Ethnopharmacology, Biomedical Chromatography and Frontiers in Pharmacology.

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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