Dan Wu
Impact in
- Materials Chemistry top 5%
- Carbon Nanotubes in Composites
- Graphene research and applications
- Luminescence and Fluorescent Materials
- Diamond and Carbon-based Materials Research
- Organic Chemistry top 5%
Papers in
-
- Click Chemistry and Applications 12
- Sulfur-Based Synthesis Techniques 5
-
- Nanoplatforms for cancer theranostics 19
- Co-authors
- Donal F. O’Shea (32 shared papers)Bingqing Wei (5 shared papers)Chi Xu (2 shared papers)Hongwei Zhu (2 shared papers)Róbert Vajtai (1 shared paper)Pulickel M. Ajayan (1 shared paper)Yong‐Hong Kuo (1 shared paper)Sylvia Y. He (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (5 papers)Chemical Communications (5 papers)RSC Advances (4 papers)Molecules (3 papers)Carbon (3 papers)
- Partner nations
- ChinaIrelandUnited States
In The Last Decade
Dan Wu
99 papers receiving 2.6k citations
Dan Wu's Hit Papers
Peers
Comparison fields: 5 of 155
- Materials Chemistry 1.1k
- Organic Chemistry 495
- Automotive Engineering 165
- Biomedical Engineering 572
- Biophysics 67
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan Wu. 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 Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wu, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Direct Synthesis of Long Single-Walled Carbon Nanotube Strands Hit paper breakdown → | 2002 | 639 |
| 2 | 2016 | 187 | |
| 3 | 1999 | 161 | |
| 4 | 2020 | 105 | |
| 5 | 2013 | 73 | |
| 6 | 2006 | 60 | |
| 7 | 2014 | 59 | |
| 8 | 2020 | 59 | |
| 9 | 1998 | 59 | |
| 10 | 2019 | 50 | |
| 11 | 2006 | 48 | |
| 12 | 2019 | 48 | |
| 13 | 2014 | 47 | |
| 14 | 2019 | 39 | |
| 15 | 2015 | 38 | |
| 16 | 2000 | 38 | |
| 17 | 2016 | 37 | |
| 18 | 2017 | 37 | |
| 19 | 2022 | 35 | |
| 20 | 2017 | 34 |
About Dan Wu
Dan Wu is a scholar working on Organic Chemistry, Biomedical Engineering, Molecular Biology, Materials Chemistry and Biophysics, having authored 105 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (19 papers), Click Chemistry and Applications (12 papers), Luminescence and Fluorescent Materials (11 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Molecular Sensors and Ion Detection (7 papers), Carbon Nanotubes in Composites (7 papers), Sulfur-Based Synthesis Techniques (5 papers) and Photodynamic Therapy Research Studies (4 papers). The work is most often cited by research in Materials Chemistry (1.1k citations), Organic Chemistry (495 citations), Automotive Engineering (165 citations), Biomedical Engineering (572 citations) and Biophysics (67 citations). Dan Wu has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Donal F. O’Shea, Bingqing Wei, Chi Xu, Hongwei Zhu, Róbert Vajtai, Pulickel M. Ajayan, Yong‐Hong Kuo, Sylvia Y. He, Jie Liang and Qiangliang Yu. Their work appears in journals such as European Journal of Medicinal Chemistry, Chemical Communications, RSC Advances, Molecules and Carbon.
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.