Megan L. Shaw
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Immunology top 2%
- Molecular Biology top 5%
- Agronomy and Crop Science top 2%
- Co-authors
- Peter PaleseAdolfo Garcı́a-SastreChristopher F. BaslerRobert G. WebsterKatherine KedzierskaGavin J. D. SmithRon A. M. FouchierJohn J. Treanor
- Topics
- Influenza Virus Research Studies (20 papers)interferon and immune responses (17 papers)Viral Infections and Vectors (12 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Megan L. Shaw
54 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Epidemiology 2.7k
- Infectious Diseases 1.7k
- Immunology 1.3k
- Molecular Biology 1.3k
- Agronomy and Crop Science 343
Countries citing papers authored by Megan L. Shaw
This map shows the geographic impact of Megan L. Shaw'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 Megan L. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan L. Shaw more than expected).
Fields of papers citing papers by Megan L. Shaw
This network shows the impact of papers produced by Megan L. Shaw. 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 Megan L. Shaw. The network helps show where Megan L. Shaw may publish in the future.
Co-authorship network of co-authors of Megan L. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Megan L. Shaw. A scholar is included among the top collaborators of Megan L. Shaw 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 Megan L. Shaw. Megan L. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 130 | |
| 5 | 67 | |
| 6 | 14 | |
| 7 | 281 | |
| 8 | 39 | |
| 9 | 37 | |
| 10 | 25 | |
| 11 | 73 | |
| 12 | Evaluation of rapid influenza diagnostic tests for detection of novel influenza A (H1N1) virus - United States, 2009. | 231 |
| 13 | 81 | |
| 14 | 9 | |
| 15 | The geography of education in Britain | 1 |
| 16 | 34 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | South Africa's urban poor: major victims of crime | 2 |
| 20 | [Basal and spinous cell epitheliomas]. | 1 |
About Megan L. Shaw
Megan L. Shaw is a scholar working on Infectious Diseases, Epidemiology and Immunology, having authored 56 papers that have together received 4.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), interferon and immune responses (17 papers) and Viral Infections and Vectors (12 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Epidemiology (2.7k citations) and Immunology (1.3k citations). Megan L. Shaw has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Peter Palese, Adolfo Garcı́a-Sastre, Christopher F. Basler, Robert G. Webster, Katherine Kedzierska, Gavin J. D. Smith, Ron A. M. Fouchier, John J. Treanor, Malik Peiris and Peter C. Doherty. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.
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.