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
-
- COVID-19 epidemiological studies
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 6
- 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)Jennifer A. Juno (2 shared papers)Adam K. Wheatley (2 shared papers)James A. Triccas (1 shared paper)
- Journals
- Nature Communications (2 papers)The Lancet Microbe (2 papers)Nature reviews. Immunology (1 paper)Quarterly Review of Film and Video (1 paper)mBio (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Eva Stadler
14 papers receiving 208 citations
Peers
Comparison fields: 5 of 48
- Infectious Diseases 145
- Modeling and Simulation 16
- Immunology 41
- Virology 8
- Health 12
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 | 82 | |
| 2 | 2023 | 26 | |
| 3 | 2022 | 23 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2005 | 1 | |
| 15 | Transport equations and plasmid-induced cellular heterogeneity | 2019 | 0 |
| 16 | 2003 | 0 |
About Eva Stadler
Eva Stadler is a scholar working on Infectious Diseases, Museology, Modeling and Simulation, Visual Arts and Performing Arts and Endocrinology, having authored 16 papers that have together received 210 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers), Malaria Research and Control (4 papers), Evolution and Genetic Dynamics (3 papers), Bacteriophages and microbial interactions (2 papers), Mosquito-borne diseases and control (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Decadence, Literature, and Society (1 paper). The work is most often cited by research in Infectious Diseases (145 citations), Modeling and Simulation (16 citations), Immunology (41 citations), Virology (8 citations) and Health (12 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, Jennifer A. Juno, Adam K. Wheatley, James A. Triccas, E. John Wherry and Sarah C. Sasson. Their work appears in journals such as Nature Communications, The Lancet Microbe, Nature reviews. Immunology, Quarterly Review of Film and Video 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.