Hannah Dasch

1.1k total citations · 1 hit paper
10 papers, 604 citations indexed

About

Hannah Dasch is a scholar working on Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, Hannah Dasch has authored 10 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, 5 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Hannah Dasch's work include Vaccine Coverage and Hesitancy (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Influenza Virus Research Studies (2 papers). Hannah Dasch is often cited by papers focused on Vaccine Coverage and Hesitancy (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Influenza Virus Research Studies (2 papers). Hannah Dasch collaborates with scholars based in United Kingdom and United States. Hannah Dasch's co-authors include Nick Sevdalis, Richard Amlôt, Julius Sim, G. James Rubin, Susan M. Sherman, Megan Cutts, Louise Smith, Matthew Hotopf, Ruth Stuart and Ioannis Bakolis and has published in prestigious journals such as PLoS ONE, BMC Public Health and Journal of Psychosomatic Research.

In The Last Decade

Hannah Dasch

10 papers receiving 593 citations

Hit Papers

COVID-19 vaccination intention in the UK: results from th... 2020 2026 2022 2024 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. COVID-19 vaccination intention in the UK: results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey
    2020 536 citations Susan M. Sherman, Louise Smith et al. Human Vaccines & Immunotherapeutics profile →

Peers

Hannah Dasch
Megan Cutts United Kingdom
François Beck France
Elaine Robertson United Kingdom
Mikael Lindfelt Finland
Marta Caserotti Italy
Lucy Jenner United Kingdom
Sarah Schaffer DeRoo United States
Huda Eid Jordan
India McFarland‐Lesser United Kingdom
Lauren Rauh United States
Megan Cutts United Kingdom
Hannah Dasch
Citations per year, relative to Hannah Dasch Hannah Dasch (= 1×) peers Megan Cutts

Countries citing papers authored by Hannah Dasch

Since Specialization
Citations

This map shows the geographic impact of Hannah Dasch'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 Hannah Dasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Dasch more than expected).

Fields of papers citing papers by Hannah Dasch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Dasch. 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 Hannah Dasch. The network helps show where Hannah Dasch may publish in the future.

Co-authorship network of co-authors of Hannah Dasch

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Dasch. A scholar is included among the top collaborators of Hannah Dasch 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 Hannah Dasch. Hannah Dasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Smith, Louise, Julius Sim, Megan Cutts, et al.. (2023). Psychosocial factors affecting COVID-19 vaccine uptake in the UK: A prospective cohort study (CoVAccS – Wave 3). Vaccine X. 13. 100276–100276. 3 indexed citations
3.
Smith, Louise, Julius Sim, Susan M. Sherman, et al.. (2022). Psychological factors associated with reporting side effects following COVID-19 vaccination: A prospective cohort study (CoVAccS – Wave 3). Journal of Psychosomatic Research. 164. 111104–111104. 4 indexed citations
4.
Bakolis, Ioannis, Laia Bécares, Hannah Dasch, et al.. (2022). COVID-19 ethnic inequalities in mental health and multimorbidities: protocol for the COVEIMM study. Social Psychiatry and Psychiatric Epidemiology. 57(12). 2511–2521. 3 indexed citations
5.
Smith, Louise, Susan M. Sherman, Julius Sim, et al.. (2022). Parents’ intention to vaccinate their child for COVID-19: A mixed-methods study (CoVAccS–wave 3). PLoS ONE. 17(12). e0279285–e0279285. 5 indexed citations
6.
Sherman, Susan M., Julius Sim, Richard Amlôt, et al.. (2021). Intention to have the seasonal influenza vaccination during the COVID-19 pandemic among eligible adults in the UK: a cross-sectional survey. BMJ Open. 11(7). e049369–e049369. 12 indexed citations
7.
Sherman, Susan M., Julius Sim, Megan Cutts, et al.. (2021). COVID-19 vaccination acceptability in the UK at the start of the vaccination programme: a nationally representative cross-sectional survey (CoVAccS – wave 2). Public Health. 202. 1–9. 27 indexed citations
8.
Smith, Louise, Julius Sim, Richard Amlôt, et al.. (2021). Side-effect expectations from COVID-19 vaccination: Findings from a nationally representative cross-sectional survey (CoVAccS – wave 2). Journal of Psychosomatic Research. 152. 110679–110679. 11 indexed citations
9.
Sherman, Susan M., Louise Smith, Julius Sim, et al.. (2020). COVID-19 vaccination intention in the UK: results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey. Human Vaccines & Immunotherapeutics. 17(6). 1612–1621. 536 indexed citations breakdown →
10.

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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