Yang Qu
Impact in
- Pharmacology top 1%
- Alkaloids: synthesis and pharmacology
- Berberine and alkaloids research
- Microbial Natural Products and Biosynthesis
- Biochemistry top 5%
- Traditional and Medicinal Uses of Annonaceae
Papers in
-
- Soft Robotics and Applications 6
- Catalysis for Biomass Conversion 6
- Advanced Sensor and Energy Harvesting Materials 5
-
- Natural product bioactivities and synthesis 5
- Co-authors
- Vincenzo De Luca (16 shared papers)Razvan Simionescu (3 shared papers)Michael L. A. E. Easson (4 shared papers)Antje M. K. Thamm (4 shared papers)Tomáš Hudlický (1 shared paper)Jordan Froese (1 shared paper)Lingjun Zhu (5 shared papers)Yuan Zhao (5 shared papers)
- Journals
- Tetrahedron Letters (4 papers)Nature Communications (3 papers)Advanced Materials (3 papers)The Plant Journal (3 papers)Phytochemistry (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yang Qu
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Pharmacology 303
- Pharmacology 323
- Biochemistry 128
- Biomedical Engineering 365
- Molecular Biology 547
Countries citing papers authored by Yang Qu
This map shows the geographic impact of Yang Qu'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 Yang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Qu more than expected).
Fields of papers citing papers by Yang Qu
This network shows the impact of papers produced by Yang Qu. 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 Yang Qu. The network helps show where Yang Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 170 | |
| 2 | 2018 | 112 | |
| 3 | 2018 | 107 | |
| 4 | 2014 | 74 | |
| 5 | 2023 | 57 | |
| 6 | 2020 | 53 | |
| 7 | 2016 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2016 | 45 | |
| 10 | 2024 | 39 | |
| 11 | 2019 | 32 | |
| 12 | 2019 | 32 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 32 | |
| 15 | 2021 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 2023 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2022 | 27 |
About Yang Qu
Yang Qu is a scholar working on Biomedical Engineering, Molecular Biology, Pharmacology, Pharmacology and Plant Science, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (18 papers), Berberine and alkaloids research (11 papers), Traditional and Medicinal Uses of Annonaceae (7 papers), Soft Robotics and Applications (6 papers), Catalysis for Biomass Conversion (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Phytochemistry and Biological Activities (5 papers) and Natural product bioactivities and synthesis (5 papers). The work is most often cited by research in Pharmacology (303 citations), Pharmacology (323 citations), Biochemistry (128 citations), Biomedical Engineering (365 citations) and Molecular Biology (547 citations). Yang Qu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Vincenzo De Luca, Razvan Simionescu, Michael L. A. E. Easson, Antje M. K. Thamm, Tomáš Hudlický, Jordan Froese, Lingjun Zhu, Yuan Zhao, Shurong Wang and Dae‐Kyun Ro. Their work appears in journals such as Tetrahedron Letters, Nature Communications, Advanced Materials, The Plant Journal and Phytochemistry.
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.