Natalie Kwit
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
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- Viral Infections and Vectors 11
-
- Vector-borne infectious diseases 9
- Co-authors
- Paul S. Mead (5 shared papers)Morgan Hennessey (3 shared papers)Wendy M. Chung (1 shared paper)John T. Brooks (1 shared paper)Jessica C. Smith (1 shared paper)Christina A. Nelson (8 shared papers)Kiersten J. Kugeler (4 shared papers)Amy Schwartz (3 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (7 papers)Zoonoses and Public Health (3 papers)Emerging infectious diseases (2 papers)Vector-Borne and Zoonotic Diseases (2 papers)Journal of Wildlife Diseases (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Natalie Kwit
19 papers receiving 413 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 259
- Parasitology 76
- Public Health, Environmental and Occupational Health 298
- Modeling and Simulation 45
- Virology 15
Countries citing papers authored by Natalie Kwit
This map shows the geographic impact of Natalie Kwit'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 Kwit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Kwit more than expected).
Fields of papers citing papers by Natalie Kwit
This network shows the impact of papers produced by Natalie Kwit. 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 Kwit. The network helps show where Natalie Kwit may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Kwit, 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 | 2016 | 247 | |
| 2 | 2016 | 48 | |
| 3 | 2020 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2017 | 19 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2018 | 0 |
About Natalie Kwit
Natalie Kwit is a scholar working on Infectious Diseases, Parasitology, Public Health, Environmental and Occupational Health, Molecular Biology and Genetics, having authored 20 papers that have together received 436 indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), Vector-borne infectious diseases (9 papers), Mosquito-borne diseases and control (7 papers), Bacillus and Francisella bacterial research (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Poxvirus research and outbreaks (2 papers), Vector-Borne Animal Diseases (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Infectious Diseases (259 citations), Parasitology (76 citations), Public Health, Environmental and Occupational Health (298 citations), Modeling and Simulation (45 citations) and Virology (15 citations). Natalie Kwit has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Paul S. Mead, Morgan Hennessey, Wendy M. Chung, John T. Brooks, Jessica C. Smith, Christina A. Nelson, Kiersten J. Kugeler, Amy Schwartz, Cara C. Cherry and Patsy Kelso. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Zoonoses and Public Health, Emerging infectious diseases, Vector-Borne and Zoonotic Diseases and Journal of Wildlife 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.