Mary Allen Staat
- Epidemiology top 0.2%
- Infectious Diseases top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Co-authors
- Kathryn M. EdwardsPeter G. SzilagyiGeoffrey A. WeinbergMarie R. GriffinCaroline Breese HallMarika K. IwaneKatherine A. PoehlingYuwei Zhu
- Topics
- Viral gastroenteritis research and epidemiology (55 papers)Respiratory viral infections research (53 papers)Influenza Virus Research Studies (32 papers)
- Partner nations
- United StatesVietnamIndia
In The Last Decade
Mary Allen Staat
140 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Epidemiology 4.9k
- Infectious Diseases 3.7k
- Pulmonary and Respiratory Medicine 1.6k
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 1.1k
Countries citing papers authored by Mary Allen Staat
This map shows the geographic impact of Mary Allen Staat'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 Mary Allen Staat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Allen Staat more than expected).
Fields of papers citing papers by Mary Allen Staat
This network shows the impact of papers produced by Mary Allen Staat. 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 Mary Allen Staat. The network helps show where Mary Allen Staat may publish in the future.
Co-authorship network of co-authors of Mary Allen Staat
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Allen Staat. A scholar is included among the top collaborators of Mary Allen Staat 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 Mary Allen Staat. Mary Allen Staat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 15 | |
| 16 | Norovirus and Medically Attended Gastroenteritis in U.S. Childrenbreakdown → | 438 |
| 17 | 6 | |
| 18 | 52 | |
| 19 | 100 | |
| 20 | 95 |
About Mary Allen Staat
Mary Allen Staat is a scholar working on Infectious Diseases, Hepatology and Epidemiology, having authored 150 papers that have together received 8.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (55 papers), Respiratory viral infections research (53 papers) and Influenza Virus Research Studies (32 papers). The work is most often cited by research in Infectious Diseases (3.7k citations), Epidemiology (4.9k citations) and Hepatology (874 citations). Mary Allen Staat has collaborated with scholars based in United States, Vietnam and India. Frequent co-authors include Kathryn M. Edwards, Peter G. Szilagyi, Geoffrey A. Weinberg, Marie R. Griffin, Caroline Breese Hall, Marika K. Iwane, Katherine A. Poehling, Yuwei Zhu, Dean D. Erdman and Carlos G. Grijalva. Their work appears in journals such as Science, New England Journal of Medicine 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.