Matthew A Jay

30 papers receiving 287 citations

Peers

Matthew A Jay
Comparison fields: 5 of 55
  • Health 26
  • Safety Research 21
  • Pediatrics, Perinatology and Child Health 41
  • General Health Professions 47
  • Clinical Psychology 38
Replace Marysia Mara Rodrigues do Prado De Carlo with:
Marysia Mara Rodrigues do Prado De Carlo Brazil
Sharon Post United States
Stan Sonu United States
Patricia O’Regan Ireland
Hyunjin Noh United States
Urban Schwegler Switzerland
Agata Zdun‐Ryżewska Poland
Paulo Vitória Portugal
Ashley K. Dores Canada
Zohreh Khoshnood Iran
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Citations per field
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Citations per year

Countries citing papers authored by Matthew A Jay

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A Jay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A Jay. 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 Matthew A Jay. The network helps show where Matthew A Jay may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 202132
3 201925
4 201718
5 201917
6 201617
7 201915
8 202013
9 202212
10 202310
11 20209
12 20209
13 20209
14 20226
15 20236
16 20195
17 20235
18 20204
19 20244
20 20254

About Matthew A Jay

Matthew A Jay is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions, Education, Management Science and Operations Research and Surgery, having authored 34 papers that have together received 291 indexed citations. Recurring topics across this work include Child and Adolescent Health (4 papers), Pediatric Pain Management Techniques (3 papers), Legal Education and Practice Innovations (2 papers), demographic modeling and climate adaptation (2 papers), Health disparities and outcomes (2 papers), Youth Substance Use and School Attendance (2 papers), Chronic Disease Management Strategies (2 papers) and Adolescent and Pediatric Healthcare (1 paper). The work is most often cited by research in Health (26 citations), Safety Research (21 citations), Pediatrics, Perinatology and Child Health (41 citations), General Health Professions (47 citations) and Clinical Psychology (38 citations). Matthew A Jay has collaborated with scholars based in United Kingdom, Greece and Australia. Frequent co-authors include Ruth Gilbert, Louise Mc Grath-Lone, Richard F. Howard, Linda Wijlaars, Ruth Blackburn, Rachel Cooper, Stella G. Muthuri, Jenny Woodman, Emily H Emmott and Rachel Pearson. Their work appears in journals such as International Journal for Population Data Science, BMJ Open, Child Abuse & Neglect, Pediatric Anesthesia and International Journal of Epidemiology.

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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