Matthew D. Daugherty
Impact in
- Virology top 2%
- HIV Research and Treatment
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Inflammasome and immune disorders
- RNA Research and Splicing
Papers in
- Co-authors
- Harmit S. MalikAlan D. FrankelAndrei L. OstermanRussell E. VanceMichael D. ScholleMichael FarrellJulie A. KernsJanet M. Young
- Journals
- eLife (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Bacteriology (2 papers)Journal of the American Chemical Society (2 papers)Nature Structural & Molecular Biology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew D. Daugherty
41 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Virology 289
- Molecular Biology 1.6k
- Immunology 494
- Neurology 183
- Infectious Diseases 380
Countries citing papers authored by Matthew D. Daugherty
This map shows the geographic impact of Matthew D. Daugherty'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 Matthew D. Daugherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Daugherty more than expected).
Fields of papers citing papers by Matthew D. Daugherty
This network shows the impact of papers produced by Matthew D. Daugherty. 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 Matthew D. Daugherty. The network helps show where Matthew D. Daugherty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew D. Daugherty, 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 | 1 | |
| 2 | 2023 | 23 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 26 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 91 | |
| 10 | 2019 | 15 | |
| 11 | 2017 | 110 | |
| 12 | 2016 | 94 | |
| 13 | 2014 | 156 | |
| 14 | 2014 | 138 | |
| 15 | 2014 | 68 | |
| 16 | 2012 | 349 | |
| 17 | 2010 | 2 | |
| 18 | 2010 | 136 | |
| 19 | 2002 | 190 | |
| 20 | 2000 | 110 |
About Matthew D. Daugherty
Matthew D. Daugherty is a scholar working on Aging, Virology, Immunology, Molecular Biology and Oncology, having authored 42 papers that have together received 2.7k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), RNA and protein synthesis mechanisms (9 papers), Plant Virus Research Studies (5 papers), HIV Research and Treatment (5 papers), Inflammasome and immune disorders (5 papers), CRISPR and Genetic Engineering (4 papers), Bacteriophages and microbial interactions (4 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Virology (289 citations), Molecular Biology (1.6k citations), Immunology (494 citations), Neurology (183 citations) and Infectious Diseases (380 citations). Matthew D. Daugherty has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Harmit S. Malik, Alan D. Frankel, Andrei L. Osterman, Russell E. Vance, Michael D. Scholle, Michael Farrell, Julie A. Kerns, Janet M. Young, Iván D’Orso and Bernhard Ehlers. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Journal of Bacteriology, Journal of the American Chemical Society and Nature Structural & Molecular Biology.
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.