Andrew S. Herbert
- Infectious Diseases top 0.5%
- Viral Infections and Outbreaks Research 24
- Viral Infections and Vectors 19
- SARS-CoV-2 and COVID-19 Research 9
- Viral gastroenteritis research and epidemiology 6
- Emergency Medical Services top 2%
- Epidemiology top 5%
- Virology and Viral Diseases 2
- Virology top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 4
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- Mosquito-borne diseases and control 4
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- Computational Drug Discovery Methods 2
- Co-authors
- John M. DyeAna I. KuehneSean P. J. WhelanThijn R. BrummelkampKartik ChandranMatthijs RaabenJan E. CaretteGregor Obernosterer
- Partner nations
- United StatesNetherlandsUganda
In The Last Decade
Andrew S. Herbert
29 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Infectious Diseases 2.0k
- Emergency Medical Services 164
- Epidemiology 786
- Virology 88
- Modeling and Simulation 82
Countries citing papers authored by Andrew S. Herbert
This map shows the geographic impact of Andrew S. Herbert'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 Andrew S. Herbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew S. Herbert more than expected).
Fields of papers citing papers by Andrew S. Herbert
This network shows the impact of papers produced by Andrew S. Herbert. 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 Andrew S. Herbert. The network helps show where Andrew S. Herbert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew S. Herbert, 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 | 2021 | 25 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 15 | |
| 5 | Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2breakdown → | 2020 | 389 |
| 6 | 2019 | 25 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 91 | |
| 11 | 2017 | 53 | |
| 12 | 2017 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2016 | 80 | |
| 15 | 2016 | 7 | |
| 16 | 2015 | 17 | |
| 17 | 2015 | 44 | |
| 18 | 2013 | 85 | |
| 19 | 2012 | 253 | |
| 20 | Ebola virus entry requires the cholesterol transporter Niemann–Pick C1breakdown → | 2011 | 972 |
About Andrew S. Herbert
Andrew S. Herbert is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 29 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (24 papers), Viral Infections and Vectors (19 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Viral gastroenteritis research and epidemiology (6 papers), COVID-19 epidemiological studies (4 papers), Mosquito-borne diseases and control (4 papers), Virology and Viral Diseases (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Emergency Medical Services (164 citations) and Epidemiology (786 citations). Andrew S. Herbert has collaborated with scholars based in United States, Netherlands and Uganda. Frequent co-authors include John M. Dye, Ana I. Kuehne, Sean P. J. Whelan, Thijn R. Brummelkamp, Kartik Chandran, Matthijs Raaben, Jan E. Carette, Gregor Obernosterer, Gordon Ruthel and April M. Griffin. Their work appears in journals such as Viruses, Science, Journal of Virology, The Journal of Infectious Diseases and International Journal of Biological Macromolecules.
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.