Peter M. DeJonge
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Respiratory viral infections research 6
- Influenza Virus Research Studies 3
-
- Pediatric health and respiratory diseases 6
- Co-authors
- Emily T. Martin (10 shared papers)Joshua G. Petrie (4 shared papers)Ryan E. Malosh (3 shared papers)Arnold S. Monto (3 shared papers)Amy P. Callear (3 shared papers)Latifa A. Bazzi (2 shared papers)Andrew N. Hashikawa (6 shared papers)Ian W. Pray (4 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (2 papers)American Journal of Public Health (2 papers)Clinical Infectious Diseases (1 paper)The Journal of Pediatrics (1 paper)Environment International (1 paper)
- Partner nations
- United StatesAustraliaUganda
In The Last Decade
Peter M. DeJonge
14 papers receiving 176 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 49
- Infectious Diseases 102
- Epidemiology 47
- Emergency Medical Services 9
- Clinical Psychology 25
Countries citing papers authored by Peter M. DeJonge
This map shows the geographic impact of Peter M. DeJonge'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 Peter M. DeJonge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. DeJonge more than expected).
Fields of papers citing papers by Peter M. DeJonge
This network shows the impact of papers produced by Peter M. DeJonge. 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 Peter M. DeJonge. The network helps show where Peter M. DeJonge may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter M. DeJonge, 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 | 97 | |
| 2 | 2020 | 22 | |
| 3 | 2022 | 13 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 7 | |
| 6 | 2019 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2020 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2024 | 0 |
About Peter M. DeJonge
Peter M. DeJonge is a scholar working on Epidemiology, Emergency Medical Services, Infectious Diseases, Modeling and Simulation and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 177 indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), Pediatric health and respiratory diseases (6 papers), COVID-19 epidemiological studies (5 papers), Smoking Behavior and Cessation (3 papers), Infection Control and Ventilation (3 papers), Influenza Virus Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Modeling and Simulation (49 citations), Infectious Diseases (102 citations), Epidemiology (47 citations), Emergency Medical Services (9 citations) and Clinical Psychology (25 citations). Peter M. DeJonge has collaborated with scholars based in United States, Australia and Uganda. Frequent co-authors include Emily T. Martin, Joshua G. Petrie, Ryan E. Malosh, Arnold S. Monto, Amy P. Callear, Latifa A. Bazzi, Andrew N. Hashikawa, Ian W. Pray, Abbey Alkon and Jill M. Sells. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, American Journal of Public Health, Clinical Infectious Diseases, The Journal of Pediatrics and Environment International.
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.