Daniel Ellis

10 papers and 1.7k indexed citations i.

About

Daniel Ellis is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Daniel Ellis has authored 10 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Genetics. Recurrent topics in Daniel Ellis’s work include Bacteriophages and microbial interactions (4 papers), RNA and protein synthesis mechanisms (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Daniel Ellis is often cited by papers focused on Bacteriophages and microbial interactions (4 papers), RNA and protein synthesis mechanisms (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Daniel Ellis collaborates with scholars based in United States and The Netherlands. Daniel Ellis's co-authors include Neil P. King, David Veesler, Allison J. Greaney, Adam S. Dingens, Jesse D. Bloom, Tyler N. Starr, Mary Jane Navarro, Sarah K. Hilton, Katharine H. D. Crawford and John E. Bowen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Daniel Ellis i

Fields of papers citing papers by Daniel Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Ellis

Since Specialization
Citations

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).

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.

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