Natasha Wenzel
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health
- Emergency Medical Services top 5%
- Epidemiology
- Co-authors
- Martial L. Ndeffo-MbahAlison P. GalvaniAlyssa S. ParpiaJeffrey P. TownsendJames E. ChildsTolbert NyenswahKatherine E. AtkinsJan Medlock
- Topics
- COVID-19 epidemiological studies (7 papers)Viral Infections and Outbreaks Research (7 papers)Disaster Response and Management (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Natasha Wenzel
11 papers receiving 559 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 368
- Modeling and Simulation 287
- Public Health, Environmental and Occupational Health 119
- Emergency Medical Services 112
- Epidemiology 71
Countries citing papers authored by Natasha Wenzel
This map shows the geographic impact of Natasha Wenzel'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 Natasha Wenzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha Wenzel more than expected).
Fields of papers citing papers by Natasha Wenzel
This network shows the impact of papers produced by Natasha Wenzel. 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 Natasha Wenzel. The network helps show where Natasha Wenzel may publish in the future.
Co-authorship network of co-authors of Natasha Wenzel
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Wenzel. A scholar is included among the top collaborators of Natasha Wenzel 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 Natasha Wenzel. Natasha Wenzel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 216 | |
| 4 | 9 | |
| 5 | 24 | |
| 6 | 27 | |
| 7 | 29 | |
| 8 | 41 | |
| 9 | 30 | |
| 10 | 199 | |
| 11 | Modeling The Zoonotic Transmission Dynamics Of Nipah Virus: Implications For Outbreak Control And Model-Guided Fieldwork | 1 |
| 12 | Disparities in mental health status and care in the U.S | 0 |
About Natasha Wenzel
Natasha Wenzel is a scholar working on Modeling and Simulation, Emergency Medical Services and Infectious Diseases, having authored 12 papers that have together received 582 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Viral Infections and Outbreaks Research (7 papers) and Disaster Response and Management (4 papers). The work is most often cited by research in Modeling and Simulation (287 citations), Infectious Diseases (368 citations) and Emergency Medical Services (112 citations). Natasha Wenzel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Martial L. Ndeffo-Mbah, Alison P. Galvani, Alyssa S. Parpia, Jeffrey P. Townsend, James E. Childs, Tolbert Nyenswah, Katherine E. Atkins, Jan Medlock, Abhishek Pandey and Frederick L. Altice. Their work appears in journals such as Science, Annals of Internal Medicine and Clinical Infectious Diseases.
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.