Alex Roederer
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
Papers in
- Surgery 4
- Healthcare Technology and Patient Monitoring 4
-
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Cristhian Berrios (1 shared paper)Adam D. Nitido (1 shared paper)Maegan L. Sheehan (2 shared papers)Vivek Naranbhai (1 shared paper)Mark C. Poznansky (2 shared papers)Kerri St. Denis (2 shared papers)Evan C. Lam (2 shared papers)Alejandro B. Balazs (2 shared papers)
- Journals
- Proceedings of the IEEE (1 paper)Cell Reports Medicine (1 paper)npj Vaccines (1 paper)AIDS Research and Human Retroviruses (1 paper)Cell (1 paper)
- Partner nations
- United StatesSouth AfricaGermany
In The Last Decade
Alex Roederer
9 papers receiving 970 citations
Alex Roederer's Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 575
- Modeling and Simulation 46
- Health 67
- Medical Laboratory Technology 12
- Hardware and Architecture 50
Countries citing papers authored by Alex Roederer
This map shows the geographic impact of Alex Roederer'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 Alex Roederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Roederer more than expected).
Fields of papers citing papers by Alex Roederer
This network shows the impact of papers produced by Alex Roederer. 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 Alex Roederer. The network helps show where Alex Roederer may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Roederer, 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 | mRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variant Hit paper breakdown → | 2022 | 665 |
| 2 | 2011 | 299 | |
| 3 | 2009 | 14 | |
| 4 | 2010 | 8 | |
| 5 | 2024 | 4 | |
| 6 | 2021 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2010 | 2 | |
| 9 | 2012 | 2 |
About Alex Roederer
Alex Roederer is a scholar working on Surgery, Infectious Diseases, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Molecular Biology, having authored 9 papers that have together received 999 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (4 papers), Context-Aware Activity Recognition Systems (3 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), ECG Monitoring and Analysis (2 papers), Quality and Safety in Healthcare (1 paper), Semantic Web and Ontologies (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Infectious Diseases (575 citations), Modeling and Simulation (46 citations), Health (67 citations), Medical Laboratory Technology (12 citations) and Hardware and Architecture (50 citations). Alex Roederer has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Cristhian Berrios, Adam D. Nitido, Maegan L. Sheehan, Vivek Naranbhai, Mark C. Poznansky, Kerri St. Denis, Evan C. Lam, Alejandro B. Balazs, A. John Iafrate and Blake M. Hauser. Their work appears in journals such as Proceedings of the IEEE, Cell Reports Medicine, npj Vaccines, AIDS Research and Human Retroviruses and Cell.
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.