Eva Stadler
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
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- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 1
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- Malaria Research and Control 4
- Co-authors
- David S. Khoury (10 shared papers)Deborah Cromer (8 shared papers)Miles P. Davenport (8 shared papers)Stephen J. Kent (6 shared papers)Arnold Reynaldi (2 shared papers)Adam K. Wheatley (2 shared papers)Jennifer A. Juno (2 shared papers)Sarah C. Sasson (1 shared paper)
- Journals
- The Lancet Microbe (2 papers)Nature Communications (2 papers)Quarterly Review of Film and Video (1 paper)Nature reviews. Immunology (1 paper)mBio (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Eva Stadler
14 papers receiving 221 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 134
- Modeling and Simulation 15
- Immunology 37
- Virology 8
- Health 11
Countries citing papers authored by Eva Stadler
This map shows the geographic impact of Eva Stadler'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 Eva Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Stadler more than expected).
Fields of papers citing papers by Eva Stadler
This network shows the impact of papers produced by Eva Stadler. 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 Eva Stadler. The network helps show where Eva Stadler may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Stadler, 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 | 87 | |
| 2 | 2023 | 28 | |
| 3 | 2022 | 25 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2020 | 10 | |
| 8 | 2024 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2005 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2015 | 0 | |
| 16 | 2003 | 0 | |
| 17 | Transport equations and plasmid-induced cellular heterogeneity | 2019 | 0 |
About Eva Stadler
Eva Stadler is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Genetics, Museology and Ecology, having authored 17 papers that have together received 223 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Malaria Research and Control (4 papers), COVID-19 Clinical Research Studies (4 papers), Evolution and Genetic Dynamics (3 papers), Bacteriophages and microbial interactions (2 papers), Digital Media and Visual Art (1 paper), SARS-CoV-2 detection and testing (1 paper) and French Historical and Cultural Studies (1 paper). The work is most often cited by research in Infectious Diseases (134 citations), Modeling and Simulation (15 citations), Immunology (37 citations), Virology (8 citations) and Health (11 citations). Eva Stadler has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include David S. Khoury, Deborah Cromer, Miles P. Davenport, Stephen J. Kent, Arnold Reynaldi, Adam K. Wheatley, Jennifer A. Juno, Sarah C. Sasson, E. John Wherry and James A. Triccas. Their work appears in journals such as The Lancet Microbe, Nature Communications, Quarterly Review of Film and Video, Nature reviews. Immunology and mBio.
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.