Danni Wu
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Cellular transport and secretion 4
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- Silk-based biomaterials and applications 3
- Electrospun Nanofibers in Biomedical Applications 2
- Co-authors
- Ying Li (2 shared papers)Lilian Chen (1 shared paper)Yanan Du (1 shared paper)Xiaoxin Zhao (1 shared paper)Liang Ma (1 shared paper)Yitong Cui (1 shared paper)Xiaojun Yan (1 shared paper)Li Yu (1 shared paper)
- Journals
- JAMA Network Open (2 papers)BMC Medical Research Methodology (2 papers)Cell Research (2 papers)ACS Applied Materials & Interfaces (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Danni Wu
21 papers receiving 1.2k citations
Danni Wu's Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology and Allergy 106
- Cancer Research 246
- Cell Biology 174
- Molecular Biology 668
- Physiology 32
Countries citing papers authored by Danni Wu
This map shows the geographic impact of Danni 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 Danni Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Wu more than expected).
Fields of papers citing papers by Danni Wu
This network shows the impact of papers produced by Danni 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 Danni Wu. The network helps show where Danni Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Discovery of the migrasome, an organelle mediating release of cytoplasmic contents during cell migration Hit paper breakdown → | 2014 | 561 |
| 2 | 2019 | 219 | |
| 3 | 2017 | 153 | |
| 4 | 2021 | 66 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 31 | |
| 7 | 2023 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2019 | 24 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 3 |
About Danni Wu
Danni Wu is a scholar working on Cell Biology, Biomaterials, Urology, Genetics and Epidemiology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Autophagy in Disease and Therapy (3 papers), Silk-based biomaterials and applications (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Bone Tissue Engineering Materials (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (106 citations), Cancer Research (246 citations), Cell Biology (174 citations), Molecular Biology (668 citations) and Physiology (32 citations). Danni Wu has collaborated with scholars based in China, United States and India. Frequent co-authors include Ying Li, Lilian Chen, Yanan Du, Xiaoxin Zhao, Liang Ma, Yitong Cui, Xiaojun Yan, Li Yu, Yan Zu and Li Yu. Their work appears in journals such as JAMA Network Open, BMC Medical Research Methodology, Cell Research, ACS Applied Materials & Interfaces and BMC Infectious Diseases.
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.