Daniel Stadlbauer
Impact in
- Infectious Diseases top 1%
- 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 1%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 23
- Influenza Virus Research Studies 23
- Respiratory viral infections research 18
- Immunology 14
- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 5
- Co-authors
- Florian KrammerFatima AmanatMeagan McMahonShirin StrohmeierViviana SimonPhilip MeadeRaffael NachbagauerKaijun Jiang
- Journals
- Nature Communications (4 papers)npj Vaccines (4 papers)Frontiers in Immunology (2 papers)Science (2 papers)Emerging Microbes & Infections (2 papers)
- Partner nations
- United StatesAustriaNicaragua
In The Last Decade
Daniel Stadlbauer
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 1.4k
- Modeling and Simulation 198
- Epidemiology 733
- Immunology 422
- Health 101
Countries citing papers authored by Daniel Stadlbauer
This map shows the geographic impact of Daniel Stadlbauer'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 Daniel Stadlbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stadlbauer more than expected).
Fields of papers citing papers by Daniel Stadlbauer
This network shows the impact of papers produced by Daniel Stadlbauer. 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 Daniel Stadlbauer. The network helps show where Daniel Stadlbauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stadlbauer, 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 | 2024 | 2 | |
| 2 | 2024 | 23 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 117 | |
| 10 | 2020 | 72 | |
| 11 | Robust neutralizing antibodies to SARS-CoV-2 infection persist for months Hit paper breakdown → | 2020 | 648 |
| 12 | 2020 | 4 | |
| 13 | 2019 | 61 | |
| 14 | 2019 | 64 | |
| 15 | 2019 | 35 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 124 | |
| 19 | 2018 | 20 | |
| 20 | 2017 | 34 |
About Daniel Stadlbauer
Daniel Stadlbauer is a scholar working on Epidemiology, Immunology, Infectious Diseases, Agronomy and Crop Science and Modeling and Simulation, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (23 papers), Respiratory viral infections research (18 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Immune Response and Inflammation (8 papers), Immune Cell Function and Interaction (5 papers), COVID-19 Clinical Research Studies (4 papers), Animal Disease Management and Epidemiology (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Modeling and Simulation (198 citations), Epidemiology (733 citations), Immunology (422 citations) and Health (101 citations). Daniel Stadlbauer has collaborated with scholars based in United States, Austria and Nicaragua. Frequent co-authors include Florian Krammer, Fatima Amanat, Meagan McMahon, Shirin Strohmeier, Viviana Simon, Philip Meade, Raffael Nachbagauer, Kaijun Jiang, Carlos Cordon‐Cardo and Damodara Rao Mendu. Their work appears in journals such as Nature Communications, npj Vaccines, Frontiers in Immunology, Science and Emerging Microbes & Infections.
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.