John M. Starr
Impact in
- Aging top 2%
Papers in
-
- Cognitive Abilities and Testing 9
- Co-authors
- Ian J. DearyValerie WilsonMichelle TaylorLawrence J. WhalleyPeter M. VisscherSarah E. HarrisGeorge Davey SmithCarole Hart
- Journals
- International Journal of Epidemiology (3 papers)British Journal of Health Psychology (2 papers)Age and Ageing (2 papers)Translational Psychiatry (2 papers)Clinical Epigenetics (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
John M. Starr
32 papers receiving 2.7k citations
Hit Papers
Peers
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
Countries citing papers authored by John M. Starr
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 28 | |
| 4 | 2019 | 39 | |
| 5 | 2018 | 46 | |
| 6 | GWAS on family history of Alzheimer’s disease Hit paper breakdown → | 2018 | 345 |
| 7 | 2018 | 179 | |
| 8 | The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 Hit paper breakdown → | 2015 | 397 |
| 9 | 2013 | 99 | |
| 10 | 2009 | 88 | |
| 11 | 2009 | 21 | |
| 12 | 2008 | 75 | |
| 13 | 2008 | 17 | |
| 14 | 2007 | 334 | |
| 15 | 2005 | 18 | |
| 16 | 2004 | 78 | |
| 17 | 2003 | 174 | |
| 18 | 2003 | 30 | |
| 19 | 2000 | 40 | |
| 20 | 1995 | 20 |
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.