Da-Qing Jin
Impact in
- Pharmacology top 5%
Papers in
-
- Natural product bioactivities and synthesis 6
- Bioactive Natural Diterpenoids Research 4
- Phytochemical compounds biological activities 2
-
- Phytochemistry and Biological Activities 11
- Co-authors
- Yuanqiang Guo (20 shared papers)Jing Xu (20 shared papers)Yasushi Ohizumi (16 shared papers)Dongho Lee (17 shared papers)Xueyuan Yang (14 shared papers)Muhetaer Tuerhong (12 shared papers)Jung‐Soo Han (2 shared papers)Jae Kwan Hwang (2 shared papers)
- Journals
- Bioorganic Chemistry (15 papers)Phytochemistry (1 paper)Journal of Natural Products (1 paper)Journal of Natural Medicines (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- ChinaSouth KoreaJapan
In The Last Decade
Da-Qing Jin
22 papers receiving 591 citations
Peers
Comparison fields: 5 of 66
- Complementary and alternative medicine 114
- Pharmacology 105
- Toxicology 22
- Plant Science 230
- Molecular Biology 392
Countries citing papers authored by Da-Qing Jin
This map shows the geographic impact of Da-Qing Jin'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 Da-Qing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Qing Jin more than expected).
Fields of papers citing papers by Da-Qing Jin
This network shows the impact of papers produced by Da-Qing Jin. 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 Da-Qing Jin. The network helps show where Da-Qing Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Da-Qing Jin, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 91 | |
| 2 | 2017 | 40 | |
| 3 | 2019 | 38 | |
| 4 | 2018 | 36 | |
| 5 | 2012 | 36 | |
| 6 | 2019 | 34 | |
| 7 | 2008 | 33 | |
| 8 | 2017 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2017 | 19 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2012 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2020 | 13 |
About Da-Qing Jin
Da-Qing Jin is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Complementary and alternative medicine and Pharmacology, having authored 22 papers that have together received 598 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (11 papers), Natural product bioactivities and synthesis (6 papers), Bioactive Natural Diterpenoids Research (4 papers), Plant-Derived Bioactive Compounds (3 papers), Phytochemical compounds biological activities (2 papers), Medicinal Plants and Neuroprotection (2 papers), Alkaloids: synthesis and pharmacology (2 papers) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Complementary and alternative medicine (114 citations), Pharmacology (105 citations), Toxicology (22 citations), Plant Science (230 citations) and Molecular Biology (392 citations). Da-Qing Jin has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Yuanqiang Guo, Jing Xu, Yasushi Ohizumi, Dongho Lee, Xueyuan Yang, Muhetaer Tuerhong, Jung‐Soo Han, Jae Kwan Hwang, Ilho Ha and Chol Seung Lim. Their work appears in journals such as Bioorganic Chemistry, Phytochemistry, Journal of Natural Products, Journal of Natural Medicines and Bioorganic & Medicinal Chemistry Letters.
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.