Kathleen O’Reilly
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Modeling and Simulation top 1%
- Co-authors
- Nicholas C. GrasslyChieh‐Hsi WuDaniel J. WilsonNicola De MaioJulia DaytonMichael MersonIan C. T. NisbetMark F. Haussmann
- Topics
- Viral gastroenteritis research and epidemiology (14 papers)Viral Infections and Immunology Research (14 papers)SARS-CoV-2 and COVID-19 Research (9 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Kathleen O’Reilly
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Infectious Diseases 860
- Public Health, Environmental and Occupational Health 388
- Epidemiology 288
- Cardiology and Cardiovascular Medicine 284
- Modeling and Simulation 204
Countries citing papers authored by Kathleen O’Reilly
This map shows the geographic impact of Kathleen O’Reilly'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 Kathleen O’Reilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen O’Reilly more than expected).
Fields of papers citing papers by Kathleen O’Reilly
This network shows the impact of papers produced by Kathleen O’Reilly. 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 Kathleen O’Reilly. The network helps show where Kathleen O’Reilly may publish in the future.
Co-authorship network of co-authors of Kathleen O’Reilly
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen O’Reilly. A scholar is included among the top collaborators of Kathleen O’Reilly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kathleen O’Reilly. Kathleen O’Reilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 59 | |
| 6 | NEPA Modernization: Key Elements of the Updated CEQ Regulations | 1 |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 113 | |
| 10 | 87 | |
| 11 | 39 | |
| 12 | 10 | |
| 13 | 43 | |
| 14 | 2 | |
| 15 | 35 | |
| 16 | 40 | |
| 17 | 18 | |
| 18 | 165 | |
| 19 | 51 | |
| 20 | 17 |
About Kathleen O’Reilly
Kathleen O’Reilly is a scholar working on Modeling and Simulation, Infectious Diseases and Agronomy and Crop Science, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (14 papers), Viral Infections and Immunology Research (14 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Infectious Diseases (860 citations), Modeling and Simulation (204 citations) and Aging (72 citations). Kathleen O’Reilly has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Nicholas C. Grassly, Chieh‐Hsi Wu, Daniel J. Wilson, Nicola De Maio, Julia Dayton, Michael Merson, Ian C. T. Nisbet, Mark F. Haussmann, Charles E. Huntington and David W. Winkler. Their work appears in journals such as Science, The Lancet and Nature Communications.
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.