Rosa Cheesman

2.3k citations
49 papers · 763 · h-index 16

Impact in

Papers in

Rosa Cheesman

47 papers receiving 759 citations

Peers

Rosa Cheesman
Comparison fields: 5 of 73
  • Experimental and Cognitive Psychology 279
  • Clinical Psychology 195
  • Genetics 211
  • Pediatrics, Perinatology and Child Health 95
  • Psychiatry and Mental health 72
Replace Robin Corley with:
Robin Corley United States
Emma Armstrong‐Carter United States
Ziada Ayorech United Kingdom
Nili R. Benazon United States
Eyal Abraham United States
Naomi White United Kingdom
Madison Aitken Canada
Helen Lazaratou Greece
Christiane Capron France
Sarah R. Moore United States
Rosa Cheesman relative to Robin Corley United States Robin Corley's profile →
Citations per field
00.5×10.5×
Robin Corley · 1×
Citations per year

Countries citing papers authored by Rosa Cheesman

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Cheesman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019118
2 202066
3 202164
4 202240
5 201739
6 202038
7 202231
8 201826
9 202025
10 202124
11 202223
12 202221
13 202119
14 202117
15 202217
16 202216
17 201915
18 202414
19 202013
20 202112

About Rosa Cheesman

Rosa Cheesman is a scholar working on Experimental and Cognitive Psychology, Genetics, Clinical Psychology, Education and Pediatrics, Perinatology and Child Health, having authored 49 papers that have together received 763 indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (20 papers), Genetic Associations and Epidemiology (16 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers), Early Childhood Education and Development (6 papers), Birth, Development, and Health (5 papers), Attention Deficit Hyperactivity Disorder (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (279 citations), Clinical Psychology (195 citations), Genetics (211 citations), Pediatrics, Perinatology and Child Health (95 citations) and Psychiatry and Mental health (72 citations). Rosa Cheesman has collaborated with scholars based in Norway, United Kingdom and United States. Frequent co-authors include Thalia C. Eley, Robert Plomin, Jean‐Baptiste Pingault, Tom A. McAdams, Espen Moen Eilertsen, Gerome Breen, Saskia Selzam, Kaili Rimfeld, Eivind Ystrøm and Andrea G. Allegrini. Their work appears in journals such as Journal of Child Psychology and Psychiatry, Nature Communications, Translational Psychiatry, Depression and Anxiety and Molecular Psychiatry.

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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