Anne Iten
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 and COVID-19 Research 6
- Viral Infections and Outbreaks Research 6
- Antimicrobial Resistance in Staphylococcus 4
- Virology top 5%
- Modeling and Simulation top 2%
- General Dentistry top 10%
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- Influenza Virus Research Studies 6
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- COVID-19 and healthcare impacts 6
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- Drug-Induced Adverse Reactions 4
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- COVID-19 and Mental Health 4
- Co-authors
- Didier PittetStephan HarbarthMohamed AbbasLaurent KaiserTomás Robalo NunesWalter ZinggRomain MartischangBenjamin Meyer
- Journals
- Antimicrobial Resistance and Infection Control (10 papers)Infection Control and Hospital Epidemiology (5 papers)Clinical Infectious Diseases (3 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Anne Iten
60 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 629
- Virology 141
- Modeling and Simulation 127
- Applied Microbiology and Biotechnology 37
- General Dentistry 21
Countries citing papers authored by Anne Iten
This map shows the geographic impact of Anne Iten'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 Anne Iten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Iten more than expected).
Fields of papers citing papers by Anne Iten
This network shows the impact of papers produced by Anne Iten. 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 Anne Iten. The network helps show where Anne Iten may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne Iten, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | Infectious viral load in unvaccinated and vaccinated individuals infected with ancestral, Delta or Omicron SARS-CoV-2breakdown → | 2022 | 199 |
| 5 | 2022 | 2 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 21 | |
| 13 | 2008 | 84 | |
| 14 | 2007 | 0 | |
| 15 | 2000 | 12 | |
| 16 | 1998 | 25 | |
| 17 | 1998 | 24 | |
| 18 | 1998 | 13 | |
| 19 | 1995 | 46 | |
| 20 | 1990 | 17 |
About Anne Iten
Anne Iten is a scholar working on Infectious Diseases, Modeling and Simulation, Virology, Epidemiology and Emergency Medical Services, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (6 papers), COVID-19 and healthcare impacts (6 papers), Viral Infections and Outbreaks Research (6 papers), Drug-Induced Adverse Reactions (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and COVID-19 and Mental Health (4 papers). The work is most often cited by research in Infectious Diseases (629 citations), Virology (141 citations), Modeling and Simulation (127 citations), Applied Microbiology and Biotechnology (37 citations) and General Dentistry (21 citations). Anne Iten has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Didier Pittet, Stephan Harbarth, Mohamed Abbas, Laurent Kaiser, Tomás Robalo Nunes, Walter Zingg, Romain Martischang, Benjamin Meyer, Philippe Sudre and Isabella Eckerle. Their work appears in journals such as Antimicrobial Resistance and Infection Control, Infection Control and Hospital Epidemiology, Clinical Infectious Diseases, Eurosurveillance and Swiss Medical Weekly.
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.