Dejiang Wang
Impact in
- Biophysics top 10%
Papers in
-
- Nanoplatforms for cancer theranostics 3
- Microfluidic and Bio-sensing Technologies 2
- Advanced Chemical Sensor Technologies 1
-
- Metabolism, Diabetes, and Cancer 2
- Extracellular vesicles in disease 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Dayong Jin (8 shared papers)Xiangjun Di (10 shared papers)Yongtao Liu (5 shared papers)Qian Peter Su (4 shared papers)Shihui Wen (3 shared papers)Jiajia Zhou (3 shared papers)Jiayan Liao (3 shared papers)Guan Huang (3 shared papers)
- Journals
- Nano Letters (3 papers)Advanced Science (2 papers)Neuroreport (1 paper)Current Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Dejiang Wang
16 papers receiving 417 citations
Peers
Comparison fields: 5 of 89
- Biophysics 26
- Acoustics and Ultrasonics 4
- Biomedical Engineering 161
- Materials Chemistry 145
- Atomic and Molecular Physics, and Optics 73
Countries citing papers authored by Dejiang Wang
This map shows the geographic impact of Dejiang 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 Dejiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejiang Wang more than expected).
Fields of papers citing papers by Dejiang Wang
This network shows the impact of papers produced by Dejiang 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 Dejiang Wang. The network helps show where Dejiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2021 | 77 | |
| 3 | 2022 | 48 | |
| 4 | 2022 | 41 | |
| 5 | 2022 | 38 | |
| 6 | 2021 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2018 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 1 | |
| 15 | Study of the action mechanism of Radix Actinidiae extracts on proliferation of lung cancer cell A549 | 2009 | 1 |
| 16 | 2019 | 1 | |
| 17 | 2022 | 0 |
About Dejiang Wang
Dejiang Wang is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics and Biophysics, having authored 17 papers that have together received 425 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Luminescence Properties of Advanced Materials (2 papers), Extracellular vesicles in disease (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Advanced Chemical Sensor Technologies (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Biophysics (26 citations), Acoustics and Ultrasonics (4 citations), Biomedical Engineering (161 citations), Materials Chemistry (145 citations) and Atomic and Molecular Physics, and Optics (73 citations). Dejiang Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dayong Jin, Xiangjun Di, Yongtao Liu, Qian Peter Su, Shihui Wen, Jiajia Zhou, Jiayan Liao, Guan Huang, Lin Zhang and Martina H. Stenzel. Their work appears in journals such as Nano Letters, Advanced Science, Neuroreport, Current Biology and Proceedings of the National Academy of Sciences.
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.