Ye Shen
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 2%
- Microbial Natural Products and Biosynthesis
Papers in
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- Traditional Chinese Medicine Analysis 9
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- Microbial Natural Products and Biosynthesis 8
- Pharmacological Effects of Natural Compounds 6
- Co-authors
- Luqi HuangJuan GuoGuanghong CuiReuben J. PetersMatthew L. HillwigJinfu TangXianan ZhangZongbao K. Zhao
- Journals
- Frontiers in Plant Science (5 papers)Molecules (3 papers)Journal of Ethnopharmacology (3 papers)Journal of Plant Physiology (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ye Shen
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Complementary and alternative medicine 365
- Pharmacology 179
- Molecular Biology 1.3k
- Pharmacology 305
- Plant Science 493
Countries citing papers authored by Ye Shen
This map shows the geographic impact of Ye Shen'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 Ye Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Shen more than expected).
Fields of papers citing papers by Ye Shen
This network shows the impact of papers produced by Ye Shen. 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 Ye Shen. The network helps show where Ye Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 143 | |
| 14 | 2021 | 19 | |
| 15 | 2017 | 49 | |
| 16 | 2017 | 86 | |
| 17 | 2016 | 20 | |
| 18 | 2014 | 143 | |
| 19 | Situation and development trend of Chinese rice wine research | 2012 | 6 |
| 20 | 2008 | 22 |
About Ye Shen
Ye Shen is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Biotechnology and Pharmacology, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (23 papers), Traditional Chinese Medicine Analysis (9 papers), Microbial Natural Products and Biosynthesis (8 papers), Pharmacological Effects of Natural Compounds (6 papers), Natural product bioactivities and synthesis (6 papers), Plant Stress Responses and Tolerance (6 papers), Plant Gene Expression Analysis (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Complementary and alternative medicine (365 citations), Pharmacology (179 citations), Molecular Biology (1.3k citations), Pharmacology (305 citations) and Plant Science (493 citations). Ye Shen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Luqi Huang, Juan Guo, Guanghong Cui, Reuben J. Peters, Matthew L. Hillwig, Jinfu Tang, Xianan Zhang, Zongbao K. Zhao, Wujun Liu and Xiao‐Ya Chen. Their work appears in journals such as Frontiers in Plant Science, Molecules, Journal of Ethnopharmacology, Journal of Plant Physiology and Blood.
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.