Natalie Olson
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Parasitic Infections and Diagnostics
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 4
- Pneumonia and Respiratory Infections 2
- Respiratory viral infections research 2
- Data-Driven Disease Surveillance 2
-
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Ritchard G. Cable (1 shared paper)George A. Perdrizet (1 shared paper)Peter J. Krause (1 shared paper)Fatimah S. Dawood (2 shared papers)Adebola Popoola (2 shared papers)Barbara J. Marston (2 shared papers)Ronald L. Moolenaar (2 shared papers)Gibril J. Njie (2 shared papers)
- Journals
- Emerging infectious diseases (2 papers)Influenza and Other Respiratory Viruses (1 paper)The Lancet Regional Health - Americas (1 paper)The Lancet Infectious Diseases (1 paper)Journal of Infection (1 paper)
- Partner nations
- United StatesPanamaCuba
In The Last Decade
Natalie Olson
9 papers receiving 133 citations
Peers
Comparison fields: 5 of 65
- Parasitology 33
- Modeling and Simulation 22
- Infectious Diseases 58
- General Dentistry 2
- Epidemiology 36
Countries citing papers authored by Natalie Olson
This map shows the geographic impact of Natalie Olson'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 Natalie Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Olson more than expected).
Fields of papers citing papers by Natalie Olson
This network shows the impact of papers produced by Natalie Olson. 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 Natalie Olson. The network helps show where Natalie Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Olson, 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 | 2020 | 58 | |
| 2 | Babesiosis in a renal transplant recipient acquired through blood transfusion. | 2000 | 35 |
| 3 | 2021 | 10 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2015 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 5 | |
| 9 | “UltraSimageddon:” An Intra-city Emergency Medicine Residency Competition | 2018 | 1 |
About Natalie Olson
Natalie Olson is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Surgery and Automotive Engineering, having authored 9 papers that have together received 136 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Pneumonia and Respiratory Infections (2 papers), COVID-19 epidemiological studies (2 papers), Respiratory viral infections research (2 papers), Data-Driven Disease Surveillance (2 papers), Energy, Environment, and Transportation Policies (1 paper), Electric Vehicles and Infrastructure (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Parasitology (33 citations), Modeling and Simulation (22 citations), Infectious Diseases (58 citations), General Dentistry (2 citations) and Epidemiology (36 citations). Natalie Olson has collaborated with scholars based in United States, Panama and Cuba. Frequent co-authors include Ritchard G. Cable, George A. Perdrizet, Peter J. Krause, Fatimah S. Dawood, Adebola Popoola, Barbara J. Marston, Ronald L. Moolenaar, Gibril J. Njie, Chaoyang Li and William W. Davis. Their work appears in journals such as Emerging infectious diseases, Influenza and Other Respiratory Viruses, The Lancet Regional Health - Americas, The Lancet Infectious Diseases and Journal of Infection.
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.