Clarissa Simas
Impact in
- Health top 0.5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Health 16
- Vaccine Coverage and Hesitancy 16
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Heidi J. Larson (16 shared papers)Emilie Karafillakis (3 shared papers)Alexandre de Figueiredo (2 shared papers)Pauline Paterson (5 shared papers)Ed Pertwee (1 shared paper)Judit Takács (2 shared papers)Stefania De Angelis (1 shared paper)Patrick Peretti‐Watel (1 shared paper)
- Journals
- Vaccine (3 papers)Human Vaccines & Immunotherapeutics (2 papers)The Lancet (2 papers)Nature Medicine (1 paper)BMJ Open (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Clarissa Simas
17 papers receiving 1.4k citations
Clarissa Simas's Hit Papers
Peers
Comparison fields: 5 of 93
- Health 1.2k
- Modeling and Simulation 233
- Infectious Diseases 511
- Epidemiology 407
- Sociology and Political Science 471
Countries citing papers authored by Clarissa Simas
This map shows the geographic impact of Clarissa Simas'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 Clarissa Simas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clarissa Simas more than expected).
Fields of papers citing papers by Clarissa Simas
This network shows the impact of papers produced by Clarissa Simas. 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 Clarissa Simas. The network helps show where Clarissa Simas may publish in the future.
Co-authors
The 25 scholars most cited alongside Clarissa Simas, 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 | Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: a large-scale retrospective temporal modelling study Hit paper breakdown → | 2020 | 694 |
| 2 | HPV vaccination in a context of public mistrust and uncertainty: a systematic literature review of determinants of HPV vaccine hesitancy in Europe Hit paper breakdown → | 2019 | 216 |
| 3 | An epidemic of uncertainty: rumors, conspiracy theories and vaccine hesitancy Hit paper breakdown → | 2022 | 213 |
| 4 | 2021 | 52 | |
| 5 | 2018 | 45 | |
| 6 | 2021 | 43 | |
| 7 | 2020 | 42 | |
| 8 | 2022 | 29 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 1 |
About Clarissa Simas
Clarissa Simas is a scholar working on Health, Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (16 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Misinformation and Its Impacts (3 papers), COVID-19 Impact on Reproduction (3 papers), Influenza Virus Research Studies (3 papers), Global Maternal and Child Health (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Health (1.2k citations), Modeling and Simulation (233 citations), Infectious Diseases (511 citations), Epidemiology (407 citations) and Sociology and Political Science (471 citations). Clarissa Simas has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Heidi J. Larson, Emilie Karafillakis, Alexandre de Figueiredo, Pauline Paterson, Ed Pertwee, Judit Takács, Stefania De Angelis, Patrick Peretti‐Watel, Fadia Dib and Lucia Pastore Celentano. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, The Lancet, Nature Medicine and BMJ Open.
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.