Alison Smith‐Palmer

3.1k citations
54 papers · 1.2k · h-index 18

Impact in

    • Bacterial Infections and Vaccines
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies

Papers in

    • Viral gastroenteritis research and epidemiology 20
    • Salmonella and Campylobacter epidemiology 15
    • Food Safety and Hygiene 6

Alison Smith‐Palmer

52 papers receiving 1.2k citations

Peers

Alison Smith‐Palmer
Comparison fields: 5 of 121
  • Microbiology 174
  • Infectious Diseases 456
  • Food Science 315
  • Modeling and Simulation 78
  • Endocrinology 86
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Citations per field
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Citations per year

Countries citing papers authored by Alison Smith‐Palmer

Since Specialization
Citations

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

Fields of papers citing papers by Alison Smith‐Palmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison Smith‐Palmer. 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 Alison Smith‐Palmer. The network helps show where Alison Smith‐Palmer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020219
2 2014128
3 201682
4 200470
5 202145
6 202044
7 202142
8 201841
9 201340
10 200234
11 201232
12 201030
13 201629
14 201228
15 202027
16 201323
17 200423
18 201621
19 201515
20 200314

About Alison Smith‐Palmer

Alison Smith‐Palmer is a scholar working on Infectious Diseases, Food Science, Epidemiology, Parasitology and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (20 papers), Salmonella and Campylobacter epidemiology (15 papers), Parasitic Infections and Diagnostics (7 papers), Escherichia coli research studies (6 papers), Travel-related health issues (6 papers), Food Safety and Hygiene (6 papers), Listeria monocytogenes in Food Safety (6 papers) and Hepatitis Viruses Studies and Epidemiology (5 papers). The work is most often cited by research in Microbiology (174 citations), Infectious Diseases (456 citations), Food Science (315 citations), Modeling and Simulation (78 citations) and Endocrinology (86 citations). Alison Smith‐Palmer has collaborated with scholars based in United Kingdom, Sweden and Ireland. Frequent co-authors include John M. Stewart, Lorna Fyfe, Jim McMenamin, John Cowden, Rachael Wood, David McAllister, Helen M. Colhoun, Chris Robertson, Sharon Kennedy and Amanda Weir. Their work appears in journals such as Epidemiology and Infection, Eurosurveillance, Journal of Medical Microbiology, BMC Infectious Diseases 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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