Angela Stein
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 2
-
- SARS-CoV-2 detection and testing 5
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Jörg HofmannChristian DrostenDetlev H. KrügerB SchlosserTerry C. JonesThomas BergVictor M. CormanStefan Pahl
- Journals
- Biomarkers (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Transfusion (1 paper)Journal of Hepatology (1 paper)Science (1 paper)
- Partner nations
- GermanyUnited StatesSlovakia
In The Last Decade
Angela Stein
13 papers receiving 621 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 394
- Modeling and Simulation 86
- Hepatology 141
- Epidemiology 167
- Virology 22
Countries citing papers authored by Angela Stein
This map shows the geographic impact of Angela Stein'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 Angela Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Stein more than expected).
Fields of papers citing papers by Angela Stein
This network shows the impact of papers produced by Angela Stein. 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 Angela Stein. The network helps show where Angela Stein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Angela Stein, 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 | 2025 | 0 | |
| 2 | 2022 | 4 | |
| 3 | Estimating infectiousness throughout SARS-CoV-2 infection course Hit paper breakdown → | 2021 | 283 |
| 4 | 2021 | 3 | |
| 5 | 2021 | 58 | |
| 6 | 2020 | 1 | |
| 7 | 2017 | 14 | |
| 8 | 2011 | 143 | |
| 9 | 2011 | 40 | |
| 10 | 2009 | 17 | |
| 11 | 2009 | 9 | |
| 12 | Monitoring of human cytomegalovirus, HHV-6 and HHV-7 infection in kidney transplant recipients by molecular methods to predict HCMV disease after transplantation: a prospective study. | 2005 | 13 |
| 13 | 2004 | 26 | |
| 14 | Model-based optimization of infectivity parameters: a study of the early epidemic in San Francisco. | 1990 | 22 |
About Angela Stein
Angela Stein is a scholar working on Modeling and Simulation, Infectious Diseases, Virology, Rehabilitation and Neurology, having authored 14 papers that have together received 633 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (2 papers), Biosensors and Analytical Detection (2 papers), Cytomegalovirus and herpesvirus research (2 papers), HIV Research and Treatment (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper) and Peripheral Neuropathies and Disorders (1 paper). The work is most often cited by research in Infectious Diseases (394 citations), Modeling and Simulation (86 citations), Hepatology (141 citations), Epidemiology (167 citations) and Virology (22 citations). Angela Stein has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Jörg Hofmann, Christian Drosten, Detlev H. Krüger, B Schlosser, Terry C. Jones, Thomas Berg, Victor M. Corman, Stefan Pahl, R. Neuhaus and Anke Edelmann. Their work appears in journals such as Biomarkers, Diagnostic Microbiology and Infectious Disease, Transfusion, Journal of Hepatology and Science.
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.