Erica E. Johnson
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 1
-
- Antibiotic Use and Resistance 2
- Co-authors
- Carlos Zambrana‐Torrelio (4 shared papers)Luis E. Escobar (1 shared paper)Peter Daszak (3 shared papers)Moreno Di Marco (1 shared paper)Tom Harwood (1 shared paper)William B. Karesh (1 shared paper)Mark Stafford‐Smith (1 shared paper)Rebecca Pirzl (1 shared paper)
- Journals
- JAMA Network Open (2 papers)F1000Research (2 papers)Nature Medicine (1 paper)Trends in Ecology & Evolution (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Erica E. Johnson
11 papers receiving 418 citations
Erica E. Johnson's Hit Papers
Peers
Comparison fields: 5 of 83
- Ecological Modeling 24
- Modeling and Simulation 23
- Infectious Diseases 81
- Parasitology 23
- Public Health, Environmental and Occupational Health 95
Countries citing papers authored by Erica E. Johnson
This map shows the geographic impact of Erica E. 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 Erica E. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erica E. Johnson more than expected).
Fields of papers citing papers by Erica E. Johnson
This network shows the impact of papers produced by Erica E. 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 Erica E. Johnson. The network helps show where Erica E. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Erica E. 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 | Sustainable development must account for pandemic risk Hit paper breakdown → | 2020 | 235 |
| 2 | 2019 | 111 | |
| 3 | 2023 | 41 | |
| 4 | 2023 | 14 | |
| 5 | 2019 | 12 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 2 |
About Erica E. Johnson
Erica E. Johnson is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Molecular Medicine, Ecological Modeling and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 440 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Zoonotic diseases and public health (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antibiotic Use and Resistance (2 papers), COVID-19 Clinical Research Studies (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper), Land Use and Ecosystem Services (1 paper) and Sustainable Development and Environmental Management (1 paper). The work is most often cited by research in Ecological Modeling (24 citations), Modeling and Simulation (23 citations), Infectious Diseases (81 citations), Parasitology (23 citations) and Public Health, Environmental and Occupational Health (95 citations). Erica E. Johnson has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Carlos Zambrana‐Torrelio, Luis E. Escobar, Peter Daszak, Moreno Di Marco, Tom Harwood, William B. Karesh, Mark Stafford‐Smith, Rebecca Pirzl, Simon Ferrier and Mario Herrero. Their work appears in journals such as JAMA Network Open, F1000Research, Nature Medicine, Trends in Ecology & Evolution 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.