Danni Wang
Impact in
- Aquatic Science top 10%
- Seaweed-derived Bioactive Compounds
- Biotechnology top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- Muscle Physiology and Disorders 4
- Enzyme Catalysis and Immobilization 2
- CRISPR and Genetic Engineering 2
-
- Plant Molecular Biology Research 3
- Polysaccharides and Plant Cell Walls 2
- Co-authors
- Zhang‐Run Xu (4 shared papers)Yingzhi Zhang (3 shared papers)Yunyun Wei (2 shared papers)Liujing Wei (2 shared papers)Zhijie Liu (2 shared papers)Rui Guo (1 shared paper)Yun‐Hwa Peggy Hsieh (1 shared paper)Jun Chen (1 shared paper)
- Journals
- Biosensors and Bioelectronics (2 papers)TrAC Trends in Analytical Chemistry (1 paper)Journal of Child Neurology (1 paper)Food Control (1 paper)Journal of Biomedical Optics (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Danni Wang
25 papers receiving 625 citations
Peers
Comparison fields: 5 of 89
- Aquatic Science 58
- Biotechnology 64
- Molecular Biology 417
- Biomedical Engineering 207
- Biochemistry 21
Countries citing papers authored by Danni Wang
This map shows the geographic impact of Danni 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 Danni Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Wang more than expected).
Fields of papers citing papers by Danni Wang
This network shows the impact of papers produced by Danni 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 Danni Wang. The network helps show where Danni Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2019 | 79 | |
| 3 | 2020 | 65 | |
| 4 | 2022 | 59 | |
| 5 | 2013 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 39 | |
| 9 | 2023 | 29 | |
| 10 | 2016 | 25 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 11 | |
| 15 | 2015 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2015 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 6 |
About Danni Wang
Danni Wang is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Aquatic Science and Surgery, having authored 28 papers that have together received 631 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Muscle Physiology and Disorders (4 papers), Plant Molecular Biology Research (3 papers), Biosensors and Analytical Detection (3 papers), Enzyme Catalysis and Immobilization (2 papers), CRISPR and Genetic Engineering (2 papers), Polysaccharides and Plant Cell Walls (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aquatic Science (58 citations), Biotechnology (64 citations), Molecular Biology (417 citations), Biomedical Engineering (207 citations) and Biochemistry (21 citations). Danni Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhang‐Run Xu, Yingzhi Zhang, Yunyun Wei, Liujing Wei, Zhijie Liu, Rui Guo, Yun‐Hwa Peggy Hsieh, Jun Chen, Yuting Tian and Weijing Zhuang. Their work appears in journals such as Biosensors and Bioelectronics, TrAC Trends in Analytical Chemistry, Journal of Child Neurology, Food Control and Journal of Biomedical Optics.
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.