Dan Wang
Impact in
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Advanced biosensing and bioanalysis techniques 32
- RNA Interference and Gene Delivery 15
- DNA and Nucleic Acid Chemistry 8
- Glycosylation and Glycoproteins Research 4
-
- Nanoplatforms for cancer theranostics 7
- Biosensors and Analytical Detection 5
- Co-authors
- Weihong Tan (24 shared papers)Xiaobing Zhang (5 shared papers)M. Neal Waxham (2 shared papers)Zilong Zhao (4 shared papers)Yixiang Liu (3 shared papers)Baoping Ji (3 shared papers)Xue‐Qiang Wang (7 shared papers)Peter Chang (1 shared paper)
- Journals
- ACS Nano (4 papers)Angewandte Chemie International Edition (4 papers)ACS Central Science (2 papers)Bioconjugate Chemistry (2 papers)Advanced Materials (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Wang
95 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.6k
- Biochemistry 135
- Biomedical Engineering 518
- Radiology, Nuclear Medicine and Imaging 220
- Biomaterials 131
Countries citing papers authored by Dan Wang
This map shows the geographic impact of Dan Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wang more than expected).
Fields of papers citing papers by Dan Wang
This network shows the impact of papers produced by Dan Wang. 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 Wang. The network helps show where Dan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Wang, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 259 | |
| 2 | 2018 | 191 | |
| 3 | 2021 | 147 | |
| 4 | 2004 | 144 | |
| 5 | 1996 | 113 | |
| 6 | 2020 | 97 | |
| 7 | 2020 | 84 | |
| 8 | 2014 | 82 | |
| 9 | 2011 | 77 | |
| 10 | 2021 | 75 | |
| 11 | 2024 | 65 | |
| 12 | 2005 | 65 | |
| 13 | 2020 | 60 | |
| 14 | 2014 | 59 | |
| 15 | 2013 | 58 | |
| 16 | 2024 | 53 | |
| 17 | 2021 | 51 | |
| 18 | 2023 | 49 | |
| 19 | 2015 | 47 | |
| 20 | 2011 | 47 |
About Dan Wang
Dan Wang is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Oncology, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (32 papers), RNA Interference and Gene Delivery (15 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), DNA and Nucleic Acid Chemistry (8 papers), Advanced Nanomaterials in Catalysis (7 papers), Nanoplatforms for cancer theranostics (7 papers), Biosensors and Analytical Detection (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Biochemistry (135 citations), Biomedical Engineering (518 citations), Radiology, Nuclear Medicine and Imaging (220 citations) and Biomaterials (131 citations). Dan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weihong Tan, Xiaobing Zhang, M. Neal Waxham, Zilong Zhao, Yixiang Liu, Baoping Ji, Xue‐Qiang Wang, Peter Chang, Ramnik J. Xavier and Brian Seed. Their work appears in journals such as ACS Nano, Angewandte Chemie International Edition, ACS Central Science, Bioconjugate Chemistry and Advanced Materials.
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.