Natalie Olson
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Parasitic Infections and Diagnostics
- Parasites and Host Interactions
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 2
- Respiratory viral infections research 2
- Data-Driven Disease Surveillance 1
-
- COVID-19 epidemiological studies 2
- Co-authors
- Peter J. Krause (1 shared paper)George A. Perdrizet (1 shared paper)Ritchard G. Cable (1 shared paper)William W. Davis (3 shared papers)Philip Ricks (2 shared papers)Barbara J. Marston (2 shared papers)Gibril J. Njie (2 shared papers)Ronald L. Moolenaar (2 shared papers)
- Journals
- Emerging infectious diseases (2 papers)The Lancet Infectious Diseases (1 paper)Influenza and Other Respiratory Viruses (1 paper)INFORMS Journal on Applied Analytics (1 paper)The Lancet Regional Health - Americas (1 paper)
- Partner nations
- United StatesPanamaNew Zealand
In The Last Decade
Natalie Olson
9 papers receiving 138 citations
Peers
Comparison fields: 5 of 62
- Parasitology 31
- Modeling and Simulation 17
- Infectious Diseases 42
- Epidemiology 37
- Public Health, Environmental and Occupational Health 18
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 | 59 | |
| 2 | Babesiosis in a renal transplant recipient acquired through blood transfusion. | 2000 | 37 |
| 3 | 2021 | 12 | |
| 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, Modeling and Simulation, Infectious Diseases, Automotive Engineering and Health, having authored 9 papers that have together received 141 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), Respiratory viral infections research (2 papers), Vehicle emissions and performance (1 paper), Electric Vehicles and Infrastructure (1 paper), Vaccine Coverage and Hesitancy (1 paper), Data-Driven Disease Surveillance (1 paper) and Primary Care and Health Outcomes (1 paper). The work is most often cited by research in Parasitology (31 citations), Modeling and Simulation (17 citations), Infectious Diseases (42 citations), Epidemiology (37 citations) and Public Health, Environmental and Occupational Health (18 citations). Natalie Olson has collaborated with scholars based in United States, Panama and New Zealand. Frequent co-authors include Peter J. Krause, George A. Perdrizet, Ritchard G. Cable, William W. Davis, Philip Ricks, Barbara J. Marston, Gibril J. Njie, Ronald L. Moolenaar, James A. Fuller and Chaoyang Li. Their work appears in journals such as Emerging infectious diseases, The Lancet Infectious Diseases, Influenza and Other Respiratory Viruses, INFORMS Journal on Applied Analytics and The Lancet Regional Health - Americas.
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.