Emma K. Accorsi
- Infectious Diseases top 2%
- Health top 2%
- Modeling and Simulation top 2%
- Oceanography top 10%
- Molecular Biology
- Co-authors
- Amadea BrittonNong ShangKatherine E. Fleming-DutraJennifer R. VeraniGordana DeradoZachary SmithStephanie J. SchragJoseph D. Miller
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)SARS-CoV-2 detection and testing (5 papers)Viral gastroenteritis research and epidemiology (3 papers)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Emma K. Accorsi
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 761
- Health 291
- Modeling and Simulation 174
- Oceanography 104
- Molecular Biology 101
Countries citing papers authored by Emma K. Accorsi
This map shows the geographic impact of Emma K. Accorsi'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 Emma K. Accorsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma K. Accorsi more than expected).
Fields of papers citing papers by Emma K. Accorsi
This network shows the impact of papers produced by Emma K. Accorsi. 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 Emma K. Accorsi. The network helps show where Emma K. Accorsi may publish in the future.
Co-authorship network of co-authors of Emma K. Accorsi
This figure shows the co-authorship network connecting the top 25 collaborators of Emma K. Accorsi. A scholar is included among the top collaborators of Emma K. Accorsi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emma K. Accorsi. Emma K. Accorsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Expanded Recommendations for Use of Pneumococcal Conjugate Vaccines Among Adults Aged ≥50 Years: Recommendations of the Advisory Committee on Immunization Practices — United States, 2024breakdown → | 26 |
| 2 | 11 | |
| 3 | 7 | |
| 4 | Early Estimates of Bivalent mRNA Booster Dose Vaccine Effectiveness in Preventing Symptomatic SARS-CoV-2 Infection Attributable to Omicron BA.5– and XBB/XBB.1.5–Related Sublineages Among Immunocompetent Adults — Increasing Community Access to Testing Program, United States, December 2022–January 2023breakdown → | 76 |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 59 | |
| 9 | Association Between 3 Doses of mRNA COVID-19 Vaccine and Symptomatic Infection Caused by the SARS-CoV-2 Omicron and Delta Variantsbreakdown → | 403 |
| 10 | 88 | |
| 11 | 88 | |
| 12 | 21 | |
| 13 | 73 | |
| 14 | 11 | |
| 15 | 52 | |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 154 | |
| 19 | Extraordinary Natural Ability: Anagram Solution as an Extension of Normal Reading Ability | 3 |
About Emma K. Accorsi
Emma K. Accorsi is a scholar working on Infectious Diseases, Modeling and Simulation and Microbiology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (761 citations), Modeling and Simulation (174 citations) and Health (291 citations). Emma K. Accorsi has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Amadea Britton, Nong Shang, Katherine E. Fleming-Dutra, Jennifer R. Verani, Gordana Derado, Zachary Smith, Stephanie J. Schrag, Joseph D. Miller, Liane Guild and J. L. Torres-Pérez. Their work appears in journals such as JAMA, PLoS ONE and American Journal of Clinical Nutrition.
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.