Danielle Johnson
Impact in
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- COVID-19 epidemiological studies
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- Mosquito-borne diseases and control
- Zoonotic diseases and public health
Papers in
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- Mosquito-borne diseases and control 2
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- Viral Infections and Vectors 2
- Co-authors
- Rhoel R. Dinglasan (2 shared papers)Jennifer Gordon (2 shared papers)Melissa S. Nolan (2 shared papers)Kenneth B. Mitchell (1 shared paper)Deborah L. Billings (1 shared paper)Bo Cai (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (2 papers)Journal of Pediatric and Adolescent Gynecology (1 paper)Journal of Medical Entomology (1 paper)Tropical Medicine and Infectious Disease (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle Johnson
5 papers receiving 25 citations
Peers
Comparison fields: 5 of 14
- Modeling and Simulation 3
- Public Health, Environmental and Occupational Health 17
- Parasitology 4
- Infectious Diseases 10
- Insect Science 7
Countries citing papers authored by Danielle Johnson
This map shows the geographic impact of Danielle Johnson'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 Danielle Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Johnson more than expected).
Fields of papers citing papers by Danielle Johnson
This network shows the impact of papers produced by Danielle Johnson. 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 Danielle Johnson. The network helps show where Danielle Johnson may publish in the future.
Co-authors
The 6 scholars most cited alongside Danielle Johnson, 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 | 2022 | 12 | |
| 2 | 2022 | 11 | |
| 3 | 2016 | 1 | |
| 4 | Express Shunt Under a Scleral Flap as Primary Surgical Treatment for Open Angle Glaucomas | 2006 | 1 |
| 5 | Ex–PRESSTM Shunt Under a Scleral Flap for Neovascular Glaucoma | 2006 | 1 |
About Danielle Johnson
Danielle Johnson is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Ophthalmology and Molecular Biology, having authored 5 papers that have together received 26 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (2 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Vectors (2 papers), Vector-Borne Animal Diseases (2 papers), Retinal Diseases and Treatments (1 paper), Global Maternal and Child Health (1 paper), Corneal surgery and disorders (1 paper) and Retinal and Macular Surgery (1 paper). The work is most often cited by research in Modeling and Simulation (3 citations), Public Health, Environmental and Occupational Health (17 citations), Parasitology (4 citations), Infectious Diseases (10 citations) and Insect Science (7 citations). Danielle Johnson has collaborated with scholars based in United States. Frequent co-authors include Rhoel R. Dinglasan, Jennifer Gordon, Melissa S. Nolan, Kenneth B. Mitchell, Deborah L. Billings and Bo Cai. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Pediatric and Adolescent Gynecology, Journal of Medical Entomology and Tropical Medicine and Infectious Disease.
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.