John M. Starr

50.7k total citations · 6 hit papers
391 papers, 21.6k citations indexed

About

John M. Starr is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John M. Starr has authored 391 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Psychiatry and Mental health, 64 papers in Physiology and 63 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John M. Starr's work include Dementia and Cognitive Impairment Research (95 papers), Functional Brain Connectivity Studies (44 papers) and Advanced Neuroimaging Techniques and Applications (44 papers). John M. Starr is often cited by papers focused on Dementia and Cognitive Impairment Research (95 papers), Functional Brain Connectivity Studies (44 papers) and Advanced Neuroimaging Techniques and Applications (44 papers). John M. Starr collaborates with scholars based in United Kingdom, United States and France. John M. Starr's 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 and has published in prestigious journals such as Nature, The Lancet and Journal of Personality and Social Psychology.

In The Last Decade

John M. Starr

387 papers receiving 21.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Age-associated cognitive decline

2009 882 citations Ian J. Deary, Janie Corley et al. British Medical Bulletin profile →
Grip Strength across the Life Course: Normative Data from Twelve British Studies

2014 794 citations Holly Syddall, Rachel Cooper et al. PLoS ONE profile →
The Impact of Childhood Intelligence on Later Life: Following Up the Scottish Mental Surveys of 1932 and 1947.

2004 569 citations Ian J. Deary, John M. Starr et al. profile →
Brain age predicts mortality

2017 486 citations Mark E. Bastin, Maria C. Valdés Hernández et al. profile →
Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studies

2012 454 citations Tom C. Russ, Emmanuel A. Stamatakis et al. BMJ profile →
Target risk factors for dementia prevention: a systematic review and Delphi consensus study on the evidence from observational studies

2014 375 citations John M. Starr et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John M. Starr United Kingdom	73	4.9k	4.0k	3.5k	2.7k	2.6k	391	21.6k
Alan B. Zonderman United States	85	4.5k 0.9×	4.5k 1.1×	3.7k 1.0×	1.1k 0.4×	2.3k 0.9×	450	27.0k
Dan Mungas United States	79	9.0k 1.8×	3.8k 1.0×	4.5k 1.3×	1.7k 0.6×	1.6k 0.6×	285	16.8k
Erik Scherder Netherlands	56	10.8k 2.2×	5.2k 1.3×	6.1k 1.8×	1.2k 0.5×	2.0k 0.8×	262	26.6k
Kaarin J. Anstey Australia	80	7.7k 1.6×	4.1k 1.0×	3.4k 1.0×	1.1k 0.4×	2.0k 0.8×	603	25.0k
Karen Ritchie France	73	9.0k 1.8×	5.3k 1.3×	3.8k 1.1×	1.1k 0.4×	2.9k 1.1×	416	24.2k
Jelle Jolles Netherlands	74	5.8k 1.2×	2.0k 0.5×	6.1k 1.7×	1.2k 0.5×	2.5k 1.0×	353	19.0k
Paul Maruff Australia	81	10.3k 2.1×	6.3k 1.6×	7.9k 2.3×	1.6k 0.6×	2.8k 1.1×	573	26.4k
David C. Steffens United States	81	9.2k 1.9×	3.4k 0.9×	4.8k 1.4×	1.9k 0.7×	2.2k 0.8×	406	23.4k
Rhoda Au United States	66	6.2k 1.3×	4.7k 1.2×	2.7k 0.8×	1.4k 0.5×	1.5k 0.6×	304	18.4k
Ronald A. Cohen United States	68	3.1k 0.6×	2.2k 0.6×	3.5k 1.0×	1.3k 0.5×	1.2k 0.4×	402	15.2k

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 of co-authors of John M. Starr

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Starr. A scholar is included among the top collaborators of John M. Starr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John M. Starr. John M. Starr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Altschul, Drew, John M. Starr, & Ian J. Deary. (2020). Blood pressure and cognitive function across the eighth decade: a prospective study of the Lothian Birth Cohort of 1936. BMJ Open. 10(7). e033990–e033990. 4 indexed citations

McGrory, Sarah, Lucia Ballerini, Fergus Doubal, et al.. (2019). Retinal microvasculature and cerebral small vessel disease in the Lothian Birth Cohort 1936 and Mild Stroke Study. Scientific Reports. 9(1). 6320–6320. 58 indexed citations

Čukić, Iva, Richard Shaw, Geoff Der, et al.. (2018). Cognitive ability does not predict objectively measured sedentary behavior: Evidence from three older cohorts.. Psychology and Aging. 33(2). 288–296. 12 indexed citations

Radaković, Ratko, John M. Starr, & Sharon Abrahams. (2017). A Novel Assessment and Profiling of Multidimensional Apathy in Alzheimer’s Disease. Journal of Alzheimer s Disease. 60(1). 57–67. 35 indexed citations

Pattie, Alison, et al.. (2016). Life review in advanced age: qualitative research on the ‘start in life’ of 90-year-olds in the Lothian Birth Cohort 1921. BMC Geriatrics. 16(1). 74–74. 3 indexed citations

Hill, W. David, Christiaan de Leeuw, Gail Davies, et al.. (2014). Functional Gene Group Analysis Indicates No Role for Heterotrimeric G Proteins in Cognitive Ability. PLoS ONE. 9(3). e91690–e91690. 1 indexed citations

Tucker–Drob, Elliot M., Daniel A. Briley, John M. Starr, & Ian J. Deary. (2014). Structure and correlates of cognitive aging in a narrow age cohort.. Psychology and Aging. 29(2). 236–249. 52 indexed citations

Hardy, Rebecca, Rachel Cooper, Avan Aihie Sayer, et al.. (2013). Body Mass Index, Muscle Strength and Physical Performance in Older Adults from Eight Cohort Studies: The HALCyon Programme. PLoS ONE. 8(2). e56483–e56483. 132 indexed citations

Deary, Ian J., Jian Yang, Gail Davies, et al.. (2012). Genetic contributions to stability and change in intelligence from childhood to old age. Nature. 482(7384). 212–215. 169 indexed citations

10.

Alfred, Tamuno, Yoav Ben‐Shlomo, Rachel Cooper, et al.. (2012). A Multi-Cohort Study of Polymorphisms in the GH/IGF Axis and Physical Capability: The HALCyon Programme. PLoS ONE. 7(1). e29883–e29883. 9 indexed citations

11.

Russ, Tom C., Emmanuel A. Stamatakis, Mark Hamer, et al.. (2012). Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studies. BMJ. 345(jul31 4). e4933–e4933. 454 indexed citations breakdown →

12.

Corley, Janie, Xueli Jia, Caroline Brett, et al.. (2011). Alcohol intake and cognitive abilities in old age: The Lothian Birth Cohort 1936 study.. Neuropsychology. 25(2). 166–175. 35 indexed citations

13.

Luciano, Michelle, Lorna M. Houlihan, Sarah E. Harris, et al.. (2010). Association of Existing and New Candidate Genes for Anxiety, Depression and Personality Traits in Older People. Behavior Genetics. 40(4). 518–532. 39 indexed citations

14.

Penke, Lars, Susana Muñoz Maniega, Catherine Murray, et al.. (2010). A General Factor of Brain White Matter Integrity Predicts Information Processing Speed in Healthy Older People. Journal of Neuroscience. 30(22). 7569–7574. 242 indexed citations

15.

Deary, Ian J., Janie Corley, Alan J. Gow, et al.. (2009). Age-associated cognitive decline. British Medical Bulletin. 92(1). 135–152. 882 indexed citations breakdown →

16.

Bates, Timothy C., Jackie F. Price, Sarah E. Harris, et al.. (2009). Association of KIBRA and memory. Neuroscience Letters. 458(3). 140–143. 58 indexed citations

17.

Starr, John M., Anita J Campbell, Eric Renshaw, Ian R. Poxton, & Gavin J. Gibson. (2008). Spatio-temporal stochastic modelling of Clostridium difficile. Journal of Hospital Infection. 71(1). 49–56. 37 indexed citations

18.

Harris, Sarah E., Alan Wright, Caroline Hayward, et al.. (2005). The functional COMT polymorphism, Val158Met, is associated with logical memory and the personality trait intellect/imagination in a cohort of healthy 79 year olds. Neuroscience Letters. 385(1). 1–6. 72 indexed citations

19.

Whalley, Lawrence J., Helen Fox, Klaus W.J. Wahle, John M. Starr, & Ian J. Deary. (2004). Cognitive aging, childhood intelligence, and the use of food supplements: possible involvement of n−3 fatty acids. American Journal of Clinical Nutrition. 80(6). 1650–1657. 79 indexed citations

20.

Whalley, Lawrence J., John M. Starr, & Ian J. Deary. (2004). Diet and dementia. The Journal of the British Menopause Society. 10(3). 113–117. 13 indexed citations

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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