Da‐Wei Tan
Impact in
-
- Carbon dioxide utilization in catalysis
- Inorganic Chemistry top 5%
- Asymmetric Hydrogenation and Catalysis
Papers in
- Biomaterials 12
- Phytochemistry and Bioactive Compounds 12
-
- Carbon dioxide utilization in catalysis 4
- Co-authors
- Hong‐Xi Li (7 shared papers)Baiping Ma (17 shared papers)Jian‐Ping Lang (6 shared papers)Liping Kang (15 shared papers)Hongmei Zhang (2 shared papers)Wei Huang (1 shared paper)Xiao Qin Liang (1 shared paper)Xinghua Liu (1 shared paper)
- Journals
- Planta Medica (3 papers)Magnetic Resonance in Chemistry (3 papers)Chemical and Pharmaceutical Bulletin (2 papers)Helvetica Chimica Acta (2 papers)RSC Advances (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Da‐Wei Tan
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Process Chemistry and Technology 132
- Inorganic Chemistry 247
- Biomaterials 161
- Organic Chemistry 308
- Polymers and Plastics 146
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 | 221 | |
| 2 | 2018 | 134 | |
| 3 | 2008 | 100 | |
| 4 | 2012 | 67 | |
| 5 | 2012 | 43 | |
| 6 | 2016 | 41 | |
| 7 | 2014 | 39 | |
| 8 | 2020 | 37 | |
| 9 | 2020 | 34 | |
| 10 | 2009 | 30 | |
| 11 | 2016 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2007 | 27 | |
| 14 | 2009 | 26 | |
| 15 | 2010 | 26 | |
| 16 | 2014 | 26 | |
| 17 | 2010 | 20 | |
| 18 | 2009 | 19 | |
| 19 | 2016 | 19 | |
| 20 | 2018 | 19 |
About Da‐Wei Tan
Da‐Wei Tan is a scholar working on Biomaterials, Process Chemistry and Technology, Organic Chemistry, Molecular Biology and Inorganic Chemistry, 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), Chemical Synthesis and Reactions (3 papers), Nanomaterials for catalytic reactions (3 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Process Chemistry and Technology (132 citations), Inorganic Chemistry (247 citations), Biomaterials (161 citations), Organic Chemistry (308 citations) and Polymers and Plastics (146 citations). Da‐Wei Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hong‐Xi Li, Baiping Ma, Jian‐Ping Lang, Liping Kang, Hongmei Zhang, Wei Huang, Xiao Qin Liang, Xinghua Liu, David James Young and Yang Zhao. Their work appears in journals such as Planta Medica, Magnetic Resonance in Chemistry, Chemical and Pharmaceutical Bulletin, Helvetica Chimica Acta and RSC Advances.
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.