Daniel Ellis
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 2
- Structural Biology top 10%
- Animal Science and Zoology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 2
- vaccines and immunoinformatics approaches 1
- Ecology top 5%
- Bacteriophages and microbial interactions 4
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- Monoclonal and Polyclonal Antibodies Research 2
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- Influenza Virus Research Studies 1
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- Diabetes and associated disorders 1
- Virus-based gene therapy research 1
- Co-authors
- Neil P. KingDavid VeeslerM. Alejandra TortoriciMary Jane NavarroJohn E. BowenSarah K. HiltonKatharine H. D. CrawfordAllison J. Greaney
- Journals
- Cell Reports (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Science (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Daniel Ellis
10 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Infectious Diseases 1.0k
- Structural Biology 23
- Animal Science and Zoology 163
- Molecular Biology 993
- Ecology 339
Countries citing papers authored by Daniel Ellis
This map shows the geographic impact of Daniel Ellis'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 Daniel Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ellis more than expected).
Fields of papers citing papers by Daniel Ellis
This network shows the impact of papers produced by Daniel Ellis. 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 Daniel Ellis. The network helps show where Daniel Ellis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Ellis, 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 | 2024 | 8 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 36 | |
| 5 | Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Bindingbreakdown → | 2020 | 1130 |
| 6 | 2019 | 45 | |
| 7 | Evolution of a designed protein assembly encapsulating its own RNA genomebreakdown → | 2017 | 151 |
| 8 | Accurate design of megadalton-scale two-component icosahedral protein complexesbreakdown → | 2016 | 415 |
| 9 | 1995 | 4 | |
| 10 | 1993 | 10 |
About Daniel Ellis
Daniel Ellis is a scholar working on Infectious Diseases, Ecology, Small Animals, Genetics and Molecular Biology, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), vaccines and immunoinformatics approaches (1 paper), Influenza Virus Research Studies (1 paper), Diabetes and associated disorders (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (1.0k citations), Structural Biology (23 citations), Animal Science and Zoology (163 citations), Molecular Biology (993 citations) and Ecology (339 citations). Daniel Ellis has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Neil P. King, David Veesler, M. Alejandra Tortorici, Mary Jane Navarro, John E. Bowen, Sarah K. Hilton, Katharine H. D. Crawford, Allison J. Greaney, Alexandra C. Walls and Jesse D. Bloom. Their work appears in journals such as Cell Reports, Journal of Pharmacology and Experimental Therapeutics, Science, Nature Communications and Advanced Healthcare Materials.
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.