Jennifer Summers

51 papers receiving 1.2k citations

Peers

Jennifer Summers
Comparison fields: 5 of 134
  • Modeling and Simulation 188
  • Urology 163
  • Health 73
  • Emergency Medical Services 56
  • Psychiatry and Mental health 104
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Stephanie Smith Canada
Richard Carmona United States
Michael D. Swartz United States
Matthew D. Solomon United States
Jennifer L. Williams United States
Issa Al Salmi Oman
Laura Vallejo‐Torres Spain
Dong-Hyun Kim South Korea
Daniel A. González‐Padilla Spain
Hiroshi Yokomichi Japan
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Citations per year

Countries citing papers authored by Jennifer Summers

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Summers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jennifer Summers, 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 Jennifer Summers Line = papers co-authored together Jennifer Summers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015204
2 2020182
3 2015173
4 2020138
5 201269
6 202048
7 202143
8 202330
9 202127
10 201025
11 201925
12 201821
13 201620
14 201419
15 201418
16 201015
17
New Zealand's experience of the 1918-19 influenza pandemic: a systematic review after 100 years.
201815
18 201612
19 202112
20
A nutritional analysis of New Zealand military food rations at Gallipoli in 1915: likely contribution to scurvy and other nutrient deficiency disorders.
201311

About Jennifer Summers

Jennifer Summers is a scholar working on Epidemiology, General Health Professions, Modeling and Simulation, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), COVID-19 epidemiological studies (10 papers), Climate Change and Health Impacts (7 papers), Global Health Care Issues (6 papers), Travel-related health issues (6 papers), Health disparities and outcomes (4 papers), Health and Conflict Studies (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Urology (163 citations), Health (73 citations), Emergency Medical Services (56 citations) and Psychiatry and Mental health (104 citations). Jennifer Summers has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Michael G. Baker, Janet L. Peacock, Stephen Keevil, Lucy Telfar-Barnard, Nick Wilson, Anastasia Chalkidou, Amanda Kvalsvig, Elizabeth Morris, Nick Wilson and Alexander Hammers. Their work appears in journals such as Emerging infectious diseases, Applied Health Economics and Health Policy, Journal of Epidemiology & Community Health, Scientific Reports and Scandinavian Journal of 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.

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