Julia Schilling
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- COVID-19 epidemiological studies 3
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Silke Buda (6 shared papers)Walter Haas (5 shared papers)Kristin Tolksdorf (3 shared papers)Michaela Diercke (4 shared papers)Ulrike A.H. Grote (2 shared papers)Doris Altmann (2 shared papers)Mirko S. Faber (1 shared paper)Ekkehard Schuler (1 shared paper)
- Journals
- Eurosurveillance (1 paper)BMC Infectious Diseases (1 paper)Occupational and Environmental Medicine (1 paper)Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (1 paper)Robert-Koch-Institut (RKI) (4 papers)
In The Last Decade
Julia Schilling
10 papers receiving 624 citations
Peers
Comparison fields: 5 of 105
- Modeling and Simulation 103
- Infectious Diseases 207
- Clinical Psychology 81
- Health 28
- Neurology 51
Countries citing papers authored by Julia Schilling
This map shows the geographic impact of Julia Schilling'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 Julia Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Schilling more than expected).
Fields of papers citing papers by Julia Schilling
This network shows the impact of papers produced by Julia Schilling. 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 Julia Schilling. The network helps show where Julia Schilling may publish in the future.
Co-authors
The 12 scholars most cited alongside Julia Schilling, 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 | 443 | |
| 2 | 2021 | 79 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 6 | |
| 9 | 1991 | 3 | |
| 10 | 2023 | 2 |
About Julia Schilling
Julia Schilling is a scholar working on Modeling and Simulation, Infectious Diseases, General Health Professions, Health and Neurology, having authored 10 papers that have together received 646 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Health and Medical Studies (4 papers), COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (1 paper), Occupational and environmental lung diseases (1 paper), Medical and Health Sciences Research (1 paper), Immune responses and vaccinations (1 paper) and Consumer behavior in food and health (1 paper). The work is most often cited by research in Modeling and Simulation (103 citations), Infectious Diseases (207 citations), Clinical Psychology (81 citations), Health (28 citations) and Neurology (51 citations). Julia Schilling has collaborated with scholars based in Germany, Sweden and Denmark. Frequent co-authors include Silke Buda, Walter Haas, Kristin Tolksdorf, Michaela Diercke, Ulrike A.H. Grote, Doris Altmann, Mirko S. Faber, Ekkehard Schuler, Osamah Hamouda and Martina Fischer. Their work appears in journals such as Eurosurveillance, BMC Infectious Diseases, Occupational and Environmental Medicine, Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz and Robert-Koch-Institut (RKI).
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.