Christopher Daige
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in ⓘ
-
- MicroRNA in disease regulation 3
- Cancer, Hypoxia, and Metabolism 1
-
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 1
- RNA modifications and cancer 1
- RNA Research and Splicing 1
- Co-authors
- Jason F. Wiggins (5 shared papers)David Brown (3 shared papers)Phong Trang (1 shared paper)Michael Omotola (2 shared papers)Chris Cho (1 shared paper)Andreas G. Bader (2 shared papers)Joanne B. Weidhaas (1 shared paper)Frank J. Slack (1 shared paper)
- Journals
- Cancer Research (2 papers)Molecular Therapy (1 paper)Molecular Cancer Therapeutics (1 paper)Cancer Immunology Research (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher Daige
5 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 524
- Molecular Biology 590
- Immunology 40
- Biomaterials 22
- Aging 2
Countries citing papers authored by Christopher Daige
This map shows the geographic impact of Christopher Daige'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 Christopher Daige with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Daige more than expected).
Fields of papers citing papers by Christopher Daige
This network shows the impact of papers produced by Christopher Daige. 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 Christopher Daige. The network helps show where Christopher Daige may publish in the future.
Co-authors
The 21 scholars most cited alongside Christopher Daige, 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 | Systemic Delivery of Tumor Suppressor microRNA Mimics Using a Neutral Lipid Emulsion Inhibits Lung Tumors in Mice Hit paper breakdown → | 2011 | 525 |
| 2 | 2014 | 137 | |
| 3 | 2021 | 15 | |
| 4 | 2018 | 1 | |
| 5 | 2012 | 1 |
About Christopher Daige
Christopher Daige is a scholar working on Cancer Research, Molecular Biology, Genetics, Biotechnology and Neurology, having authored 5 papers that have together received 679 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer Research and Treatments (2 papers), Virus-based gene therapy research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), RNA modifications and cancer (1 paper), RNA Research and Splicing (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (524 citations), Molecular Biology (590 citations), Immunology (40 citations), Biomaterials (22 citations) and Aging (2 citations). Christopher Daige has collaborated with scholars based in United States. Frequent co-authors include Jason F. Wiggins, David Brown, Phong Trang, Michael Omotola, Chris Cho, Andreas G. Bader, Joanne B. Weidhaas, Frank J. Slack, Jane Zhao and Mark R. Sullivan. Their work appears in journals such as Cancer Research, Molecular Therapy, Molecular Cancer Therapeutics and Cancer Immunology Research.
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.