John M. Starr

50.7k citations
391 papers · 21.6k indexed · 6 hit papers · h-index 73

John M. Starr

387 papers receiving 21.1k citations

Hit Papers

Brain age predicts mortality4862004202620112018250500750

Peers

John M. Starr
Comparison fields: 5 of 204
  • Neuropsychology and Physiological Psychology 759
  • Psychiatry and Mental health 4.9k
  • Geriatrics and Gerontology 998
  • Experimental and Cognitive Psychology 2.6k
  • Neurology 1.6k
Replace Alan B. Zonderman with:
Alan B. Zonderman United States
Kaarin J. Anstey Australia
David C. Steffens United States
Kirk I. Erickson United States
Nancy L. Pedersen Sweden
Archana Singh‐Manoux United Kingdom
Lisa L. Barnes United States
Ingmar Skoog Sweden
Lars Bäckman Sweden
Robert S. Wilson United States
John M. Starr relative to Alan B. Zonderman United States Alan B. Zonderman's profile →
Citations per field
00.5×1.5×2.0×
Alan B. Zonderman · 1×
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-authorship network

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 201910
2 20186
3 201812
4 201827
5 201743
6 20156
7 201527
8 201452
9 201328
10 201350
11 201313
12 201281
13 201299
14
Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studiesbreakdown →
2012454
15 201135
16 201161
17 2010129
18 201032
19 2010113
20 2010242

About John M. Starr

John M. Starr is a scholar working on Neuropsychology and Physiological Psychology, Psychiatry and Mental health and Geriatrics and Gerontology, having authored 391 papers that have together received 21.6k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (95 papers), Functional Brain Connectivity Studies (44 papers), Advanced Neuroimaging Techniques and Applications (44 papers), Birth, Development, and Health (40 papers), Cognitive Abilities and Testing (40 papers), Health disparities and outcomes (38 papers), Alzheimer's disease research and treatments (26 papers) and Advanced MRI Techniques and Applications (25 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (759 citations), Psychiatry and Mental health (4.9k citations) and Geriatrics and Gerontology (998 citations). John M. Starr has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Ian J. Deary, Lawrence J. Whalley, Joanna M. Wardlaw, Alan J. Gow, Janie Corley, Mark E. Bastin, Helen Fox, Sarah E. Harris, Alison Pattie and Tom C. Russ. Their work appears in journals such as PLoS ONE, Neurobiology of Aging, Age and Ageing, Intelligence and Psychology and Aging.

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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