Nicholas C. Grassly
- Modeling and Simulation top 0.2%
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 66
- SARS-CoV-2 and COVID-19 Research 23
- HIV/AIDS Research and Interventions 11
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- Viral Infections and Immunology Research 60
- Microbiology top 1%
- Reproductive tract infections research 10
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 20
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- Respiratory viral infections research 18
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- HIV/AIDS Impact and Responses 10
- Co-authors
- Christophe FraserEdward P K ParkerMargarita Pons-SalortR. Bruce AylwardEdward C. HolmesRoland W. SutterThomas R. HirdGeoffrey P. Garnett
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Nicholas C. Grassly
119 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Modeling and Simulation 857
- Infectious Diseases 2.8k
- Cardiology and Cardiovascular Medicine 1.7k
- Microbiology 419
- Agronomy and Crop Science 498
Countries citing papers authored by Nicholas C. Grassly
This map shows the geographic impact of Nicholas C. Grassly'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 Nicholas C. Grassly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas C. Grassly more than expected).
Fields of papers citing papers by Nicholas C. Grassly
This network shows the impact of papers produced by Nicholas C. Grassly. 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 Nicholas C. Grassly. The network helps show where Nicholas C. Grassly may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas C. Grassly, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 87 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 35 | |
| 16 | 2016 | 18 | |
| 17 | 2014 | 90 | |
| 18 | 2014 | 56 | |
| 19 | 2013 | 60 | |
| 20 | 2007 | 43 |
About Nicholas C. Grassly
Nicholas C. Grassly is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 124 papers that have together received 5.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (66 papers), Viral Infections and Immunology Research (60 papers), SARS-CoV-2 and COVID-19 Research (23 papers), Animal Disease Management and Epidemiology (20 papers), Respiratory viral infections research (18 papers), HIV/AIDS Research and Interventions (11 papers), Reproductive tract infections research (10 papers) and HIV/AIDS Impact and Responses (10 papers). The work is most often cited by research in Modeling and Simulation (857 citations), Infectious Diseases (2.8k citations) and Cardiology and Cardiovascular Medicine (1.7k citations). Nicholas C. Grassly has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Christophe Fraser, Edward P K Parker, Margarita Pons-Salort, R. Bruce Aylward, Edward C. Holmes, Roland W. Sutter, Thomas R. Hird, Geoffrey P. Garnett, Jacob John and Gagandeep Kang.
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.