Dan Tang
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Natural product bioactivities and synthesis 14
- Genomics and Phylogenetic Studies 7
- Immunology 18
- Invertebrate Immune Response Mechanisms 11
- Aquaculture disease management and microbiota 7
- Co-authors
- Hui‐Jun Li (6 shared papers)Zhengfei Wang (26 shared papers)Johann Zimmermann (2 shared papers)Massimo Loda (2 shared papers)Ping Li (7 shared papers)Youhua Xu (13 shared papers)Weifeng Yu (19 shared papers)Zhengming Qian (11 shared papers)
- Journals
- Journal of Ethnopharmacology (6 papers)Genomics (5 papers)Acta Biochimica et Biophysica Sinica (4 papers)Phytomedicine (4 papers)Journal of Separation Science (3 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Dan Tang
123 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 134
- Biochemistry 159
- Complementary and alternative medicine 169
- Hepatology 136
- Molecular Biology 1.3k
- Cancer Research 241
Countries citing papers authored by Dan Tang
This map shows the geographic impact of Dan Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Tang more than expected).
Fields of papers citing papers by Dan Tang
This network shows the impact of papers produced by Dan Tang. 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 Tang. The network helps show where Dan Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Tang, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 286 | |
| 2 | 2005 | 140 | |
| 3 | 2006 | 124 | |
| 4 | 2018 | 124 | |
| 5 | 2008 | 116 | |
| 6 | 2015 | 67 | |
| 7 | 2007 | 66 | |
| 8 | 2021 | 59 | |
| 9 | 2011 | 59 | |
| 10 | 2020 | 47 | |
| 11 | 2007 | 45 | |
| 12 | 2002 | 44 | |
| 13 | 2019 | 40 | |
| 14 | 2021 | 40 | |
| 15 | 2019 | 39 | |
| 16 | 2019 | 37 | |
| 17 | 2019 | 37 | |
| 18 | 2022 | 36 | |
| 19 | 2021 | 35 | |
| 20 | 2017 | 34 |
About Dan Tang
Dan Tang is a scholar working on Molecular Biology, Immunology, Aquatic Science, Ecology and Plant Science, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (14 papers), Invertebrate Immune Response Mechanisms (11 papers), Aquaculture Nutrition and Growth (11 papers), Traditional Chinese Medicine Analysis (9 papers), Crustacean biology and ecology (8 papers), Genomics and Phylogenetic Studies (7 papers), Phytochemistry and Biological Activities (7 papers) and Aquaculture disease management and microbiota (7 papers). The work is most often cited by research in Biochemistry (159 citations), Complementary and alternative medicine (169 citations), Hepatology (136 citations), Molecular Biology (1.3k citations) and Cancer Research (241 citations). Dan Tang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Hui‐Jun Li, Zhengfei Wang, Johann Zimmermann, Massimo Loda, Ping Li, Youhua Xu, Weifeng Yu, Zhengming Qian, Quan Zhu and Shumei Wang. Their work appears in journals such as Journal of Ethnopharmacology, Genomics, Acta Biochimica et Biophysica Sinica, Phytomedicine and Journal of Separation Science.
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.