Christopher M. Monaco
Impact in
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Lipid Membrane Structure and Behavior
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- Nanoparticle-Based Drug Delivery
Papers in
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- RNA Interference and Gene Delivery 2
- Sphingolipid Metabolism and Signaling 1
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- Biomedical and Engineering Education 1
- Co-authors
- Cory D. Sago (2 shared papers)James E. Dahlman (2 shared papers)Kalina Paunovska (2 shared papers)Daryll Vanover (2 shared papers)Philip J. Santangelo (2 shared papers)Anton V. Bryksin (2 shared papers)William Henry Hudson (1 shared paper)Rafi Ahmed (1 shared paper)
- Journals
- Journal of Solid State Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)ACS Pharmacology & Translational Science (1 paper)Nano Letters (1 paper)Journal of Biomolecular Techniques JBT (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher M. Monaco
4 papers receiving 475 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 422
- Biomaterials 50
- Infectious Diseases 48
- Immunology 49
- Genetics 64
Countries citing papers authored by Christopher M. Monaco
This map shows the geographic impact of Christopher M. Monaco'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 M. Monaco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Monaco more than expected).
Fields of papers citing papers by Christopher M. Monaco
This network shows the impact of papers produced by Christopher M. Monaco. 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 M. Monaco. The network helps show where Christopher M. Monaco may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Monaco, 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 | 2018 | 258 | |
| 2 | 2018 | 207 | |
| 3 | 2014 | 18 | |
| 4 | 2021 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2022 | 0 |
About Christopher M. Monaco
Christopher M. Monaco is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Virology and Information Systems and Management, having authored 6 papers that have together received 485 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Sphingolipid Metabolism and Signaling (1 paper), SARS-CoV-2 detection and testing (1 paper), Complement system in diseases (1 paper), Biomedical and Engineering Education (1 paper), Scientific Computing and Data Management (1 paper), MicroRNA in disease regulation (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Molecular Biology (422 citations), Biomaterials (50 citations), Infectious Diseases (48 citations), Immunology (49 citations) and Genetics (64 citations). Christopher M. Monaco has collaborated with scholars based in United States. Frequent co-authors include Cory D. Sago, James E. Dahlman, Kalina Paunovska, Daryll Vanover, Philip J. Santangelo, Anton V. Bryksin, William Henry Hudson, Rafi Ahmed, Sujay Kalathoor and Pooja Tiwari. Their work appears in journals such as Journal of Solid State Chemistry, Proceedings of the National Academy of Sciences, ACS Pharmacology & Translational Science, Nano Letters and Journal of Biomolecular Techniques JBT.
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.