窦德强
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
Papers in
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- Traditional Chinese Medicine Analysis 13
- Pharmacology 22
- Pharmacological Effects of Natural Compounds 15
- Co-authors
- Ting‐Guo Kang (32 shared papers)Xiaoku Ran (22 shared papers)Ying‐Jie Chen (9 shared papers)Tadahiro Takeda (5 shared papers)Noriko Shimizu (4 shared papers)Ahmed M. Metwaly (4 shared papers)Na Guo (8 shared papers)Bing‐You Yang (5 shared papers)
- Journals
- Journal of Asian Natural Products Research (9 papers)Planta Medica (8 papers)Chemical and Pharmaceutical Bulletin (7 papers)Journal of Ethnopharmacology (6 papers)Pharmacognosy Magazine (4 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
窦德强
129 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Complementary and alternative medicine 421
- Pharmacology 412
- Molecular Biology 1.4k
- Biochemistry 88
- Pharmacology 185
Countries citing papers authored by 窦德强
This map shows the geographic impact of 窦德强'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 窦德强 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites 窦德强 more than expected).
Fields of papers citing papers by 窦德强
This network shows the impact of papers produced by 窦德强. 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 窦德强. The network helps show where 窦德强 may publish in the future.
Co-authors
The 25 scholars most cited alongside 窦德强, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 119 | |
| 2 | 2001 | 81 | |
| 3 | 2019 | 50 | |
| 4 | 2006 | 49 | |
| 5 | 1999 | 49 | |
| 6 | 2010 | 48 | |
| 7 | 2006 | 46 | |
| 8 | 2018 | 44 | |
| 9 | 2013 | 44 | |
| 10 | 2019 | 44 | |
| 11 | 2013 | 44 | |
| 12 | 2006 | 43 | |
| 13 | 2016 | 42 | |
| 14 | 2021 | 40 | |
| 15 | 2010 | 40 | |
| 16 | 2010 | 35 | |
| 17 | 2016 | 34 | |
| 18 | 2009 | 32 | |
| 19 | 2016 | 31 | |
| 20 | 2001 | 31 |
About 窦德强
窦德强 is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Plant Science and Food Science, having authored 134 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (43 papers), Natural product bioactivities and synthesis (37 papers), Phytochemistry and Biological Activities (17 papers), Pharmacological Effects of Natural Compounds (15 papers), Traditional Chinese Medicine Analysis (13 papers), Plant-derived Lignans Synthesis and Bioactivity (12 papers), Food Quality and Safety Studies (11 papers) and Microbial Metabolites in Food Biotechnology (9 papers). The work is most often cited by research in Complementary and alternative medicine (421 citations), Pharmacology (412 citations), Molecular Biology (1.4k citations), Biochemistry (88 citations) and Pharmacology (185 citations) 窦德强 has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ting‐Guo Kang, Xiaoku Ran, Ying‐Jie Chen, Tadahiro Takeda, Noriko Shimizu, Ahmed M. Metwaly, Na Guo, Bing‐You Yang, Ying Yuan and Haixue Kuang. Their work appears in journals such as Journal of Asian Natural Products Research, Planta Medica, Chemical and Pharmaceutical Bulletin, Journal of Ethnopharmacology and Pharmacognosy Magazine.
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.