Dan Shou
Impact in
- Pharmacology top 5%
- Fungal Biology and Applications
- Medicinal Plant Pharmacodynamics Research
- Analytical Chemistry top 5%
- Analytical chemistry methods development
Papers in
-
- Bone Metabolism and Diseases 16
- Pharmacology 19
- Medicinal Plant Pharmacodynamics Research 11
- Fungal Biology and Applications 5
- Co-authors
- Nani Wang (25 shared papers)Yan Zhu (12 shared papers)Pingcui Xu (10 shared papers)Yu Dong (10 shared papers)Xuping Wang (13 shared papers)Xiaowen Huang (5 shared papers)Xuping Wang (3 shared papers)Ying Hu (2 shared papers)
- Journals
- International Journal of Biological Macromolecules (5 papers)Journal of Separation Science (4 papers)Phytomedicine (3 papers)Phytotherapy Research (3 papers)International Journal of Nanomedicine (3 papers)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Dan Shou
69 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Pharmacology 152
- Analytical Chemistry 135
- Complementary and alternative medicine 86
- Pharmacology 171
- Pharmaceutical Science 52
Countries citing papers authored by Dan Shou
This map shows the geographic impact of Dan Shou'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 Dan Shou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shou more than expected).
Fields of papers citing papers by Dan Shou
This network shows the impact of papers produced by Dan Shou. 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 Dan Shou. The network helps show where Dan Shou may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shou, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2015 | 101 | |
| 3 | 2019 | 78 | |
| 4 | 2018 | 65 | |
| 5 | 2016 | 56 | |
| 6 | 2021 | 47 | |
| 7 | 2017 | 47 | |
| 8 | 2020 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2021 | 41 | |
| 11 | 2016 | 38 | |
| 12 | 2022 | 33 | |
| 13 | 2019 | 32 | |
| 14 | 2017 | 30 | |
| 15 | 2018 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2014 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2023 | 26 | |
| 20 | 2017 | 23 |
About Dan Shou
Dan Shou is a scholar working on Molecular Biology, Pharmacology, Analytical Chemistry, Surgery and Pharmacology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (16 papers), Medicinal Plant Pharmacodynamics Research (11 papers), Analytical Chemistry and Chromatography (10 papers), Chromatography in Natural Products (9 papers), Orthopedic Infections and Treatments (8 papers), Traditional Chinese Medicine Analysis (6 papers), Fungal Biology and Applications (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Pharmacology (152 citations), Analytical Chemistry (135 citations), Complementary and alternative medicine (86 citations), Pharmacology (171 citations) and Pharmaceutical Science (52 citations). Dan Shou has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Nani Wang, Yan Zhu, Pingcui Xu, Yu Dong, Xuping Wang, Xiaowen Huang, Xuping Wang, Ying Hu, Xuping Wang and Changyu Li. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Separation Science, Phytomedicine, Phytotherapy Research and International Journal of Nanomedicine.
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.