Heidi J. Larson
Impact in
- Health top 0.01%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies
Papers in
- Health 177
- Vaccine Coverage and Hesitancy 174
-
- COVID-19 epidemiological studies 24
- Co-authors
- Pauline PatersonCaitlin JarrettAlexandre de FigueiredoElisabeth EckersbergerEmilie KarafillakisScott C. RatzanD. M. SmithRose Wilson
- Journals
- Vaccine (39 papers)The Lancet (15 papers)Human Vaccines & Immunotherapeutics (13 papers)Nature Medicine (9 papers)BMC Public Health (9 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Heidi J. Larson
234 papers receiving 19.2k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Health 14.4k
- Modeling and Simulation 3.5k
- Infectious Diseases 7.6k
- Sociology and Political Science 6.1k
- Epidemiology 4.8k
Countries citing papers authored by Heidi J. Larson
This map shows the geographic impact of Heidi J. Larson'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 Heidi J. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi J. Larson more than expected).
Fields of papers citing papers by Heidi J. Larson
This network shows the impact of papers produced by Heidi J. Larson. 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 Heidi J. Larson. The network helps show where Heidi J. Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi J. Larson, 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 | 2024 | 4 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 31 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 16 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 22 | |
| 16 | 2020 | 17 | |
| 17 | 2020 | 42 | |
| 18 | 2019 | 13 | |
| 19 | 2018 | 11 | |
| 20 | 2016 | 61 |
About Heidi J. Larson
Heidi J. Larson is a scholar working on Health, Modeling and Simulation, Infectious Diseases, Epidemiology and Sociology and Political Science, having authored 245 papers that have together received 19.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (174 papers), Misinformation and Its Impacts (58 papers), SARS-CoV-2 and COVID-19 Research (49 papers), Influenza Virus Research Studies (48 papers), Viral Infections and Outbreaks Research (27 papers), COVID-19 epidemiological studies (24 papers), Cervical Cancer and HPV Research (17 papers) and Hepatitis B Virus Studies (16 papers). The work is most often cited by research in Health (14.4k citations), Modeling and Simulation (3.5k citations), Infectious Diseases (7.6k citations), Sociology and Political Science (6.1k citations) and Epidemiology (4.8k citations). Heidi J. Larson has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Pauline Paterson, Caitlin Jarrett, Alexandre de Figueiredo, Elisabeth Eckersberger, Emilie Karafillakis, Scott C. Ratzan, D. M. Smith, Rose Wilson, Lawrence O. Gostin and Ayman El-Mohandes. Their work appears in journals such as Vaccine, The Lancet, Human Vaccines & Immunotherapeutics, Nature Medicine and BMC Public Health.
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.