Da‐Wei Tan
Impact in
-
- Carbon dioxide utilization in catalysis
- Inorganic Chemistry top 5%
- Asymmetric Hydrogenation and Catalysis
Papers in
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- Phytochemical Studies and Bioactivities 15
- Natural product bioactivities and synthesis 11
- Biomaterials 12
- Phytochemistry and Bioactive Compounds 12
- Co-authors
- Hong‐Xi Li (7 shared papers)Jian‐Ping Lang (6 shared papers)Baiping Ma (17 shared papers)Hongmei Zhang (2 shared papers)Liping Kang (15 shared papers)Xiao Liang (1 shared paper)Xinghua Liu (1 shared paper)Wei Huang (1 shared paper)
- Journals
- Magnetic Resonance in Chemistry (3 papers)Planta Medica (3 papers)Chemical and Pharmaceutical Bulletin (2 papers)RSC Advances (2 papers)Helvetica Chimica Acta (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Da‐Wei Tan
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Process Chemistry and Technology 130
- Inorganic Chemistry 245
- Biomaterials 160
- Organic Chemistry 303
- Polymers and Plastics 145
Countries citing papers authored by Da‐Wei Tan
This map shows the geographic impact of Da‐Wei Tan'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‐Wei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da‐Wei Tan more than expected).
Fields of papers citing papers by Da‐Wei Tan
This network shows the impact of papers produced by Da‐Wei Tan. 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‐Wei Tan. The network helps show where Da‐Wei Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Da‐Wei Tan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 2018 | 133 | |
| 3 | 2008 | 98 | |
| 4 | 2012 | 63 | |
| 5 | 2012 | 42 | |
| 6 | 2016 | 41 | |
| 7 | 2014 | 39 | |
| 8 | 2020 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2009 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2016 | 29 | |
| 13 | 2010 | 27 | |
| 14 | 2007 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2009 | 26 | |
| 17 | 2010 | 20 | |
| 18 | 2009 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2011 | 17 |
About Da‐Wei Tan
Da‐Wei Tan is a scholar working on Molecular Biology, Biomaterials, Organic Chemistry, Process Chemistry and Technology and Polymers and Plastics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phytochemical Studies and Bioactivities (15 papers), Phytochemistry and Bioactive Compounds (12 papers), Natural product bioactivities and synthesis (11 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Carbon dioxide utilization in catalysis (4 papers), Conducting polymers and applications (3 papers), Nanomaterials for catalytic reactions (3 papers) and Chemical Synthesis and Reactions (3 papers). The work is most often cited by research in Process Chemistry and Technology (130 citations), Inorganic Chemistry (245 citations), Biomaterials (160 citations), Organic Chemistry (303 citations) and Polymers and Plastics (145 citations). Da‐Wei Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hong‐Xi Li, Jian‐Ping Lang, Baiping Ma, Hongmei Zhang, Liping Kang, Xiao Liang, Xinghua Liu, Wei Huang, David James Young and Jianlin Yao. Their work appears in journals such as Magnetic Resonance in Chemistry, Planta Medica, Chemical and Pharmaceutical Bulletin, RSC Advances and Helvetica Chimica Acta.
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.