Danni Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 2
-
- Autophagy in Disease and Therapy 3
- Co-authors
- Ying Li (2 shared papers)Xiaojun Yan (1 shared paper)Xiaoxin Zhao (1 shared paper)Yanan Du (1 shared paper)Li Yu (1 shared paper)Lilian Chen (1 shared paper)Liang Ma (1 shared paper)Xuan Wang (1 shared paper)
- Journals
- BMC Medical Research Methodology (2 papers)Cell Research (1 paper)Chemico-Biological Interactions (1 paper)Biomaterials Research (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Danni Wu
16 papers receiving 810 citations
Danni Wu's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 209
- Immunology and Allergy 82
- Molecular Biology 527
- Cell Biology 119
- Physiology 25
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
| # | Work | ||
|---|---|---|---|
| 1 | Discovery of the migrasome, an organelle mediating release of cytoplasmic contents during cell migration Hit paper breakdown → | 2014 | 488 |
| 2 | 2019 | 190 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 26 | |
| 5 | 2019 | 24 | |
| 6 | 2020 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Danni Wu
Danni Wu is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Infectious Diseases and Pharmacology, having authored 19 papers that have together received 823 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Autophagy in Disease and Therapy (3 papers), Silk-based biomaterials and applications (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Air Quality Monitoring and Forecasting (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Mesenchymal stem cell research (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Cancer Research (209 citations), Immunology and Allergy (82 citations), Molecular Biology (527 citations), Cell Biology (119 citations) and Physiology (25 citations). Danni Wu has collaborated with scholars based in China and United States. Frequent co-authors include Ying Li, Xiaojun Yan, Xiaoxin Zhao, Yanan Du, Li Yu, Lilian Chen, Liang Ma, Xuan Wang, Junfeng Zhang and Qing Wu. Their work appears in journals such as BMC Medical Research Methodology, Cell Research, Chemico-Biological Interactions, Biomaterials Research and Statistics in Medicine.
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.