Nathan D. Grubaugh
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 36
- SARS-CoV-2 and COVID-19 Research 28
- SARS-CoV-2 detection and testing 17
- COVID-19 Clinical Research Studies 12
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 9
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- Mosquito-borne diseases and control 46
- Malaria Research and Control 10
- Insect Science top 2%
- Insect symbiosis and bacterial influences 14
- Parasitology top 5%
- Co-authors
- Kristian G. AndersenDoug E. BrackneyGregory D. EbelAkiko IwasakiEdward C. HolmesOliver G. PybusJoseph R. FauverChantal B. F. Vogels
- Cited by
- Infectious DiseasesModeling and SimulationPublic Health, Environmental and Occupational Health
- Journals
- Cell (5 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Nathan D. Grubaugh
81 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 2.6k
- Modeling and Simulation 383
- Public Health, Environmental and Occupational Health 1.2k
- Insect Science 400
- Parasitology 156
Countries citing papers authored by Nathan D. Grubaugh
This map shows the geographic impact of Nathan D. Grubaugh'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 Nathan D. Grubaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan D. Grubaugh more than expected).
Fields of papers citing papers by Nathan D. Grubaugh
This network shows the impact of papers produced by Nathan D. Grubaugh. 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 Nathan D. Grubaugh. The network helps show where Nathan D. Grubaugh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan D. Grubaugh, 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 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 42 | |
| 12 | 2021 | 27 | |
| 13 | Densely sampled viral trajectories suggest longer duration of acute infection with B.1.1.7 variant relative to non-B.1.1.7 SARS-CoV-2 | 2021 | 33 |
| 14 | 2021 | 88 | |
| 15 | 2020 | 37 | |
| 16 | 2019 | 117 | |
| 17 | 2018 | 26 | |
| 18 | 2017 | 23 | |
| 19 | 2016 | 36 | |
| 20 | 2016 | 14 |
About Nathan D. Grubaugh
Nathan D. Grubaugh is a scholar working on Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 90 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (46 papers), Viral Infections and Vectors (36 papers), SARS-CoV-2 and COVID-19 Research (28 papers), SARS-CoV-2 detection and testing (17 papers), Insect symbiosis and bacterial influences (14 papers), COVID-19 Clinical Research Studies (12 papers), Malaria Research and Control (10 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Modeling and Simulation (383 citations) and Public Health, Environmental and Occupational Health (1.2k citations). Nathan D. Grubaugh has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Kristian G. Andersen, Doug E. Brackney, Gregory D. Ebel, Akiko Iwasaki, Edward C. Holmes, Oliver G. Pybus, Joseph R. Fauver, Chantal B. F. Vogels, Albert I. Ko and Jason T. Ladner. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.
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.