Noa Dagan
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Health top 0.5%
- Vaccine Coverage and Hesitancy
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
- COVID-19 Clinical Research Studies 3
-
- Viral Infections and Immunology Research 2
- Co-authors
- Ran D. Balicer (31 shared papers)Noam Barda (20 shared papers)Ben Y. Reis (11 shared papers)Marc Lipsitch (7 shared papers)Miguel A. Hernán (5 shared papers)Eldad Kepten (4 shared papers)Mark A. Katz (1 shared paper)Oren Miron (1 shared paper)
- Journals
- New England Journal of Medicine (4 papers)Nature Medicine (3 papers)Nature Communications (3 papers)Infectious Diseases and Therapy (2 papers)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Noa Dagan
34 papers receiving 4.0k citations
Noa Dagan's Hit Papers
Peers
Comparison fields: 5 of 149
- Infectious Diseases 2.3k
- Health 725
- Modeling and Simulation 394
- Health Informatics 58
- Obstetrics and Gynecology 278
Countries citing papers authored by Noa Dagan
This map shows the geographic impact of Noa Dagan'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 Noa Dagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Dagan more than expected).
Fields of papers citing papers by Noa Dagan
This network shows the impact of papers produced by Noa Dagan. 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 Noa Dagan. The network helps show where Noa Dagan may publish in the future.
Co-authors
The 25 scholars most cited alongside Noa Dagan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting Hit paper breakdown → | 2021 | 1663 |
| 2 | Safety of the BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Setting Hit paper breakdown → | 2021 | 687 |
| 3 | Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study Hit paper breakdown → | 2021 | 565 |
| 4 | Nirmatrelvir Use and Severe Covid-19 Outcomes during the Omicron Surge Hit paper breakdown → | 2022 | 209 |
| 5 | Effectiveness of the BNT162b2 mRNA COVID-19 vaccine in pregnancy Hit paper breakdown → | 2021 | 203 |
| 6 | 2022 | 90 | |
| 7 | 2017 | 90 | |
| 8 | 2020 | 79 | |
| 9 | 2020 | 79 | |
| 10 | 2022 | 55 | |
| 11 | 2013 | 48 | |
| 12 | 2021 | 43 | |
| 13 | 2020 | 42 | |
| 14 | 2023 | 37 | |
| 15 | 2022 | 36 | |
| 16 | 2021 | 31 | |
| 17 | 2014 | 28 | |
| 18 | 2021 | 20 | |
| 19 | 2015 | 19 | |
| 20 | 2022 | 16 |
About Noa Dagan
Noa Dagan is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Surgery, Health and Oncology, having authored 38 papers that have together received 4.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (2 papers), COVID-19 Impact on Reproduction (2 papers), Artificial Intelligence in Healthcare (2 papers), Meta-analysis and systematic reviews (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Health (725 citations), Modeling and Simulation (394 citations), Health Informatics (58 citations) and Obstetrics and Gynecology (278 citations). Noa Dagan has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ran D. Balicer, Noam Barda, Ben Y. Reis, Marc Lipsitch, Miguel A. Hernán, Eldad Kepten, Mark A. Katz, Oren Miron, Isaac S. Kohane and Doron Netzer. Their work appears in journals such as New England Journal of Medicine, Nature Medicine, Nature Communications, Infectious Diseases and Therapy and Journal of the American Medical Informatics Association.
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.