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%
- COVID-19 epidemiological studies
Papers in
- Surgery 4
- Healthcare Technology and Patient Monitoring 4
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Christina C. Chang (1 shared paper)Onosereme Ofoman (1 shared paper)Evan C. Lam (2 shared papers)Alejandro B. Balazs (2 shared papers)Aaron G. Schmidt (1 shared paper)Adam D. Nitido (1 shared paper)Cristhian Berrios (1 shared paper)David J. Gregory (2 shared papers)
- Journals
- AIDS Research and Human Retroviruses (1 paper)Cell (1 paper)npj Vaccines (1 paper)Cell Reports Medicine (1 paper)Proceedings of the IEEE (1 paper)
- Partner nations
- United StatesSouth AfricaSweden
In The Last Decade
Alex Roederer
7 papers receiving 882 citations
Alex Roederer's Hit Papers
Peers
Comparison fields: 5 of 97
- Infectious Diseases 606
- Modeling and Simulation 59
- Health 89
- Animal Science and Zoology 79
- Medical Laboratory Technology 11
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 | 651 |
| 2 | 2011 | 246 | |
| 3 | 2010 | 8 | |
| 4 | 2021 | 2 | |
| 5 | 2010 | 2 | |
| 6 | 2012 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 |
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 8 papers that have together received 912 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (4 papers), Context-Aware Activity Recognition Systems (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), ECG Monitoring and Analysis (2 papers), HIV Research and Treatment (1 paper), Malaria Research and Control (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (606 citations), Modeling and Simulation (59 citations), Health (89 citations), Animal Science and Zoology (79 citations) and Medical Laboratory Technology (11 citations). Alex Roederer has collaborated with scholars based in United States, South Africa and Sweden. Frequent co-authors include Christina C. Chang, Onosereme Ofoman, Evan C. Lam, Alejandro B. Balazs, Aaron G. Schmidt, Adam D. Nitido, Cristhian Berrios, David J. Gregory, Mark C. Poznansky and A. John Iafrate. Their work appears in journals such as AIDS Research and Human Retroviruses, Cell, npj Vaccines, Cell Reports Medicine and Proceedings of the IEEE.
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.