Sarah Cuschieri

116 papers receiving 3.7k citations

Sarah Cuschieri's Hit Papers

The CONSORT statement 2019 · 270 citations
2700+2+4Years since publication50010001.5k2.0k

Peers

Sarah Cuschieri
Comparison fields: 5 of 169
  • General Dentistry 36
  • Health 129
  • Modeling and Simulation 78
  • Health Informatics 22
  • Geriatrics and Gerontology 45
Replace Gian Luca Di Tanna with:
Gian Luca Di Tanna Australia
Ravinder Mamtani Qatar
Irma Klerings Austria
Barbara Nußbaumer-Streit Austria
Micere Thuku Canada
Maria Rosaria Gualano Italy
Bee Hoon Heng Singapore
Salim Surani United States
Ashraf El‐Metwally Saudi Arabia
Emma Thomas Australia
Sarah Cuschieri relative to Gian Luca Di Tanna Australia Gian Luca Di Tanna's profile →
Citations per field
00.5×1.5×2.4×
Gian Luca Di Tanna · 1×
Citations per year

Countries citing papers authored by Sarah Cuschieri

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Cuschieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The STROBE guidelines
Hit paper breakdown →
20192249
2
The CONSORT statement
Hit paper breakdown →
2019270
3 202096
4 202089
5 202060
6 202044
7 202238
8 202036
9 201632
10 202129
11 202129
12 201728
13 201927
14 201627
15 202327
16 201826
17 202025
18 201822
19 202020
20 202020

About Sarah Cuschieri

Sarah Cuschieri is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Organizational Behavior and Human Resource Management, Statistics, Probability and Uncertainty and Endocrinology, Diabetes and Metabolism, having authored 128 papers that have together received 3.7k indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (12 papers), Health and Medical Research Impacts (8 papers), Academic Writing and Publishing (8 papers), Meta-analysis and systematic reviews (8 papers), Innovations in Medical Education (8 papers), Chronic Disease Management Strategies (7 papers), Long-Term Effects of COVID-19 (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in General Dentistry (36 citations), Health (129 citations), Modeling and Simulation (78 citations), Health Informatics (22 citations) and Geriatrics and Gerontology (45 citations). Sarah Cuschieri has collaborated with scholars based in Malta, Canada and United Kingdom. Frequent co-authors include Stephan Grech, Jean Calleja‐Agius, Victor Grech, Julian Mamo, Neville Calleja, Josanne Vassallo, Nikolai Paul Pace, Brecht Devleesschauwer, Grant M. A. Wyper and Charles Savona‐Ventura. Their work appears in journals such as Early Human Development, European Journal of Public Health, Archives of Public Health, Diabetes & Metabolic Syndrome Clinical Research & Reviews and 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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