Jonathan E. Schulz
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 17
- SARS-CoV-2 detection and testing 10
- COVID-19 Clinical Research Studies 8
- Epidemiology 12
- Virology and Viral Diseases 4
- Co-authors
- Vincent J. Munster (30 shared papers)Neeltje van Doremalen (20 shared papers)Victoria A. Avanzato (10 shared papers)Emmie de Wit (8 shared papers)Rebecca Rosenke (3 shared papers)Claude Kwe Yinda (19 shared papers)Julia R. Port (18 shared papers)Greg Saturday (8 shared papers)
- Journals
- Nature Communications (5 papers)Viruses (5 papers)Emerging infectious diseases (2 papers)Nature Microbiology (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jonathan E. Schulz
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 805
- Modeling and Simulation 110
- Neurology 177
- Animal Science and Zoology 113
- Virology 33
Countries citing papers authored by Jonathan E. Schulz
This map shows the geographic impact of Jonathan E. Schulz'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 Jonathan E. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Schulz more than expected).
Fields of papers citing papers by Jonathan E. Schulz
This network shows the impact of papers produced by Jonathan E. Schulz. 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 Jonathan E. Schulz. The network helps show where Jonathan E. Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 434 | |
| 2 | 2021 | 165 | |
| 3 | 2021 | 81 | |
| 4 | 2023 | 48 | |
| 5 | 2022 | 40 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 21 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2023 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 7 |
About Jonathan E. Schulz
Jonathan E. Schulz is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), SARS-CoV-2 detection and testing (10 papers), COVID-19 Clinical Research Studies (8 papers), COVID-19 epidemiological studies (8 papers), Infection Control and Ventilation (5 papers), Poxvirus research and outbreaks (4 papers), Bacillus and Francisella bacterial research (4 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Infectious Diseases (805 citations), Modeling and Simulation (110 citations), Neurology (177 citations), Animal Science and Zoology (113 citations) and Virology (33 citations). Jonathan E. Schulz has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Vincent J. Munster, Neeltje van Doremalen, Victoria A. Avanzato, Emmie de Wit, Rebecca Rosenke, Claude Kwe Yinda, Julia R. Port, Greg Saturday, Myndi G. Holbrook and Robert J. Fischer. Their work appears in journals such as Nature Communications, Viruses, Emerging infectious diseases, Nature Microbiology and PLoS Pathogens.
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.