Jane Tuckerman
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
- Health 34
- Vaccine Coverage and Hesitancy 33
- Epidemiology 29
- Influenza Virus Research Studies 21
- Respiratory viral infections research 13
- Co-authors
- Margie Danchin (27 shared papers)Jessica Kaufman (20 shared papers)Helen Marshall (18 shared papers)Joanne Collins (3 shared papers)Nigel W. Crawford (8 shared papers)Tiffany K. Gill (2 shared papers)Zumin Shi (2 shared papers)Anne Taylor (2 shared papers)
- Journals
- Vaccine (9 papers)Human Vaccines & Immunotherapeutics (6 papers)BMJ Open (3 papers)BMC Public Health (2 papers)The Medical Journal of Australia (2 papers)
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Jane Tuckerman
39 papers receiving 597 citations
Peers
Comparison fields: 5 of 94
- Health 363
- Modeling and Simulation 42
- Infectious Diseases 163
- Epidemiology 267
- Microbiology 41
Countries citing papers authored by Jane Tuckerman
This map shows the geographic impact of Jane Tuckerman'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 Jane Tuckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Tuckerman more than expected).
Fields of papers citing papers by Jane Tuckerman
This network shows the impact of papers produced by Jane Tuckerman. 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 Jane Tuckerman. The network helps show where Jane Tuckerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Tuckerman, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2010 | 67 | |
| 3 | 2021 | 60 | |
| 4 | 2021 | 40 | |
| 5 | 2022 | 40 | |
| 6 | 2021 | 36 | |
| 7 | 2015 | 34 | |
| 8 | 2015 | 34 | |
| 9 | 2020 | 24 | |
| 10 | 2018 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2010 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 5 |
About Jane Tuckerman
Jane Tuckerman is a scholar working on Health, Epidemiology, Infectious Diseases, Clinical Psychology and General Health Professions, having authored 44 papers that have together received 612 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (33 papers), Influenza Virus Research Studies (21 papers), Respiratory viral infections research (13 papers), Viral gastroenteritis research and epidemiology (4 papers), Emergency and Acute Care Studies (3 papers), Migration, Health and Trauma (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Impact on Reproduction (3 papers). The work is most often cited by research in Health (363 citations), Modeling and Simulation (42 citations), Infectious Diseases (163 citations), Epidemiology (267 citations) and Microbiology (41 citations). Jane Tuckerman has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Margie Danchin, Jessica Kaufman, Helen Marshall, Joanne Collins, Nigel W. Crawford, Tiffany K. Gill, Zumin Shi, Anne Taylor, Daniel Costa and Carissa Bonner. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, BMJ Open, BMC Public Health and The Medical Journal of Australia.
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.