Kate Lennon

510 citations
4 papers · 34 · h-index 4

Impact in

Papers in

Kate Lennon

4 papers receiving 29 citations

Peers

Kate Lennon
Comparison fields: 5 of 29
  • Computer Science Applications 3
  • Emergency Medical Services 3
  • Public Health, Environmental and Occupational Health 12
  • Safety, Risk, Reliability and Quality 4
  • Communication 3
Replace Fatema Zehra Juma with:
Fatema Zehra Juma United Kingdom
Marta Silvânere Pereira Brazil
Bogdan Chiva Giurca United Kingdom
M. Bewick Russia
Wisal Omer Mohamed Nabag Sudan
Sonia García Duarte Spain
Shannon Newman Australia
Prabhakar Veginadu Australia
Carolina Henriques Portugal
Sarah Chin Singapore
Kate Lennon relative to Fatema Zehra Juma United Kingdom Fatema Zehra Juma's profile →
Citations per field
00.5×1.5×
Fatema Zehra Juma · 1×
Citations per year

Countries citing papers authored by Kate Lennon

Since Specialization
Citations

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

Fields of papers citing papers by Kate Lennon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Kate Lennon, 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 Kate Lennon Line = papers co-authored together Kate Lennon links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Evaluating the impact of a child injury prevention project.
200614
2 20237
3 20117
4 20066

About Kate Lennon

Kate Lennon is a scholar working on Social Psychology, General Health Professions, Safety, Risk, Reliability and Quality, Public Health, Environmental and Occupational Health and Cell Biology, having authored 4 papers that have together received 34 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (1 paper), Online and Blended Learning (1 paper), Injury Epidemiology and Prevention (1 paper), Traffic and Road Safety (1 paper), Trauma and Emergency Care Studies (1 paper), Nursing Roles and Practices (1 paper), Clinical Nutrition and Gastroenterology (1 paper) and Evaluation of Teaching Practices (1 paper). The work is most often cited by research in Computer Science Applications (3 citations), Emergency Medical Services (3 citations), Public Health, Environmental and Occupational Health (12 citations), Safety, Risk, Reliability and Quality (4 citations) and Communication (3 citations). Kate Lennon has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Ellis Friedman, David Lamb, Olivia Ménard, Mhairi Simpson, Gwénaële Henry, François Morgan, Nathalie Daniel, Michelle Collins, Marie‐Françoise Cochet and Didier Dupont. Their work appears in journals such as Food Research International, PubMed, Journal of European Industrial Training and Cancer Nursing Practice.

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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