Pauline Paterson

7.9k citations
47 papers · 5.2k indexed · 5 hit papers · h-index 23
Topics
Vaccine Coverage and Hesitancy (42 papers)Influenza Virus Research Studies (20 papers)SARS-CoV-2 and COVID-19 Research (7 papers)

In The Last Decade

Pauline Paterson

47 papers receiving 5.1k citations

Hit Papers

Understanding vaccine hesitancy around vaccines and vacci...20142026201820222014202020162018202050010001.5k

Peers

Pauline Paterson
Comparison fields: 5 of 128
  • Health 4.5k
  • Infectious Diseases 2.0k
  • Epidemiology 1.7k
  • Sociology and Political Science 1.3k
  • Modeling and Simulation 854
Replace Daniel A. Salmon with:
Daniel A. Salmon United States
Caitlin Jarrett United Kingdom
Ève Dubé Canada
Julie A. Bettinger Canada
Elisabeth Eckersberger United States
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Sean T. O’Leary United States
Ayman El-Mohandes United States
Alexandre de Figueiredo United Kingdom
Sandra Mounier‐Jack United Kingdom
Pauline Paterson relative to Daniel A. Salmon United States Daniel A. Salmon's profile →
Citations per field
00.5×1.5×
Daniel A. Salmon · 1×
Citations per year

Countries citing papers authored by Pauline Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Pauline Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauline Paterson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 22
3 3
4 6
5 11
6 4
7
Parents’ and guardians’ views on the acceptability of a future COVID-19 vaccine: A multi-methods study in Englandbreakdown →
379
8 48
9 55
10 13
11 126
12 12
13 46
14 19
15 42
16 25
17 45
18 15
19 116
20 13

About Pauline Paterson

Pauline Paterson is a scholar working on Health, Obstetrics and Gynecology and Microbiology, having authored 47 papers that have together received 5.2k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (42 papers), Influenza Virus Research Studies (20 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Health (4.5k citations), Modeling and Simulation (854 citations) and Infectious Diseases (2.0k citations). Pauline Paterson has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Heidi J. Larson, Caitlin Jarrett, Elisabeth Eckersberger, D. M. Smith, Richard Clarke, Emilie Karafillakis, Clarissa Simas, Alexandre de Figueiredo, Rose Wilson and Sandra Mounier‐Jack. Their work appears in journals such as Science, The Lancet and PLoS ONE.

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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