Jane Tuckerman

1.1k citations
44 papers · 672 · h-index 15

Impact in

  • Health top 2%
    • Vaccine Coverage and Hesitancy
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Vaccine Coverage and Hesitancy 18
    • Influenza Virus Research Studies 13
    • Respiratory viral infections research 5
    • Pneumonia and Respiratory Infections 2

Jane Tuckerman

43 papers receiving 655 citations

Peers

Jane Tuckerman
Comparison fields: 5 of 88
  • Health 297
  • Epidemiology 208
  • Modeling and Simulation 26
  • Microbiology 34
  • Infectious Diseases 97
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Citations per field
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Citations per year

Countries citing papers authored by Jane Tuckerman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jane Tuckerman Line = papers co-authored together Jane Tuckerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202284
2 202170
3 201070
4 202247
5 202142
6 202142
7 201535
8 201534
9 202026
10 201822
11 202022
12 202120
13 201619
14 201018
15 202016
16 202214
17 201914
18 202313
19 20217
20 20205

About Jane Tuckerman

Jane Tuckerman is a scholar working on Health, Epidemiology, Infectious Diseases, General Health Professions and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 672 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Influenza Virus Research Studies (13 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pneumonia and Respiratory Infections (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Emergency and Acute Care Studies (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Health (297 citations), Epidemiology (208 citations), Modeling and Simulation (26 citations), Microbiology (34 citations) and Infectious Diseases (97 citations). Jane Tuckerman has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Margie Danchin, Jessica Kaufman, Helen Marshall, Joanne Collins, Nigel W. Crawford, David N Dürrheim, Daniel Costa, Carissa Bonner, Lyndal Trevena and Tiffany K. Gill. 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.

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