John M. Starr

32 papers receiving 2.7k citations

Hit Papers

GWAS on family history of Alzheimer’s disease 2018 · 345 citations
3452015202620182022100200300

Peers

John M. Starr
Comparison fields: 5 of 132
  • Aging 107
  • Neuropsychology and Physiological Psychology 60
  • Health 292
  • Experimental and Cognitive Psychology 437
  • Pediatrics, Perinatology and Child Health 602
Replace Alison Pattie with:
Alison Pattie United Kingdom
Maria Antonietta Stazi Italy
James G. Wilson United States
Archie Campbell United Kingdom
W. David Hill United Kingdom
Austin Quach United States
Inge Petersen Denmark
Eilís Hannon United Kingdom
Brian H. Chen United States
Lene Christiansen Denmark
John M. Starr relative to Alison Pattie United Kingdom Alison Pattie's profile →
Citations per field
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Citations per year

Countries citing papers authored by John M. Starr

Since Specialization
Citations

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

Fields of papers citing papers by John M. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Starr. 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 John M. Starr. The network helps show where John M. Starr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202027
3 202028
4 201939
5 201846
6
GWAS on family history of Alzheimer’s disease
Hit paper breakdown →
2018345
7 2018179
8
The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936
Hit paper breakdown →
2015397
9 201399
10 200988
11 200921
12 200875
13 200817
14 2007334
15 200518
16 200478
17 2003174
18 200330
19 200040
20 199520

About John M. Starr

John M. Starr is a scholar working on Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, Aging, Health and Psychiatry and Mental health, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Birth, Development, and Health (9 papers), Cognitive Abilities and Testing (9 papers), Dementia and Cognitive Impairment Research (6 papers), Genetic Associations and Epidemiology (5 papers), Health disparities and outcomes (4 papers), Health, Environment, Cognitive Aging (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Aging (107 citations), Neuropsychology and Physiological Psychology (60 citations), Health (292 citations), Experimental and Cognitive Psychology (437 citations) and Pediatrics, Perinatology and Child Health (602 citations). John M. Starr has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Ian J. Deary, Valerie Wilson, Michelle Taylor, Lawrence J. Whalley, Peter M. Visscher, Sarah E. Harris, George Davey Smith, Carole Hart, Riccardo E. Marioni and Janie Corley. Their work appears in journals such as International Journal of Epidemiology, British Journal of Health Psychology, Age and Ageing, Translational Psychiatry and Clinical Epigenetics.

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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