Brian Lawlor

36.3k total citations · 5 hit papers
369 papers, 15.6k citations indexed

About

Brian Lawlor is a scholar working on Psychiatry and Mental health, Physiology and Health. According to data from OpenAlex, Brian Lawlor has authored 369 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Psychiatry and Mental health, 72 papers in Physiology and 65 papers in Health. Recurrent topics in Brian Lawlor's work include Dementia and Cognitive Impairment Research (159 papers), Health disparities and outcomes (63 papers) and Alzheimer's disease research and treatments (47 papers). Brian Lawlor is often cited by papers focused on Dementia and Cognitive Impairment Research (159 papers), Health disparities and outcomes (63 papers) and Alzheimer's disease research and treatments (47 papers). Brian Lawlor collaborates with scholars based in Ireland, United States and United Kingdom. Brian Lawlor's co-authors include Robert F. Coen, Sabina Brennan, Cathal Walsh, David G. Loughrey, Michelle E. Kelly, Davis Coakley, Rose Anne Kenny, Joanna McHugh Power, Irene Bruce and Conal Cunningham and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Brian Lawlor

356 papers receiving 14.9k citations

Hit Papers

Development of the EURO–D... 1999 2026 2008 2017 1999 2017 2017 2008 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian Lawlor 5.0k 3.2k 2.8k 2.8k 2.5k 369 15.6k
David C. Steffens 9.2k 1.8× 2.5k 0.8× 4.8k 1.7× 2.4k 0.9× 3.4k 1.4× 406 23.4k
Von O. Leirer 5.2k 1.0× 1.9k 0.6× 2.6k 0.9× 2.3k 0.8× 2.0k 0.8× 43 13.7k
Brent J. Small 5.0k 1.0× 1.6k 0.5× 3.1k 1.1× 1.3k 0.5× 2.4k 1.0× 340 16.2k
Robert S. Wilson 5.9k 1.2× 2.7k 0.8× 1.9k 0.7× 1.4k 0.5× 3.2k 1.3× 127 13.2k
Margaret Gatz 5.3k 1.1× 3.2k 1.0× 1.8k 0.6× 3.0k 1.1× 3.7k 1.5× 373 21.7k
Lisa L. Barnes 8.4k 1.7× 4.4k 1.3× 2.8k 1.0× 2.8k 1.0× 5.9k 2.4× 444 24.1k
Michael Dewey 6.6k 1.3× 2.9k 0.9× 1.0k 0.4× 3.0k 1.1× 1.6k 0.6× 265 16.7k
Ingmar Skoog 7.5k 1.5× 2.5k 0.8× 1.4k 0.5× 2.9k 1.0× 6.1k 2.5× 432 22.9k
Martin J. Sliwinski 4.7k 0.9× 1.7k 0.5× 3.0k 1.1× 1.3k 0.5× 1.9k 0.8× 292 14.5k
Hannie C. Comijs 4.0k 0.8× 1.9k 0.6× 1.6k 0.6× 1.5k 0.5× 1.4k 0.6× 292 11.8k

Countries citing papers authored by Brian Lawlor

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lawlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Lawlor

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Lawlor. A scholar is included among the top collaborators of Brian Lawlor 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 Brian Lawlor. Brian Lawlor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qi, Qing, Karen Ritchie, Graciela Muñiz‐Terrera, et al.. (2024). Associations between sex and lifestyle activities with cognitive reserve in mid-life adults with genetic risk for Alzheimer’s disease. Alzheimer s Research & Therapy. 16(1). 246–246.
2.
Ávila‐Funes, José Alberto, et al.. (2024). Age-friendly initiatives: Mexico. The journal of nutrition health & aging. 28(1). 100007–100007. 1 indexed citations
3.
Dounavi, Maria‐Eleni, Sarah Gregory, Graciela Muñiz‐Terrera, et al.. (2024). Investigating the brain’s neurochemical profile at midlife in relation to dementia risk factors. Brain Communications. 6(3). fcae138–fcae138. 2 indexed citations
4.
Lawlor, Brian, et al.. (2024). Bringing brain health home: the importance of housing and the urban environment for building this generation’s brain health. Cities & Health. 8(6). 983–988. 1 indexed citations
5.
Dounavi, Maria‐Eleni, Paresh Malhotra, Brian Lawlor, et al.. (2024). Dementia risk and thalamic nuclei volumetry in healthy midlife adults: the PREVENT Dementia study. Brain Communications. 6(2). fcae046–fcae046. 5 indexed citations
6.
Teckentrup, Vanessa, et al.. (2023). Modifiable dementia risk factors associated with distinct subjective and objective cognitive outcomes. Alzheimer s & Dementia. 19(S23). 1 indexed citations
7.
Dounavi, Maria‐Eleni, Karen Ritchie, Graciela Muñiz‐Terrera, et al.. (2023). Lifestyle activities contribute to cognitive reserve in mid‐life, independently of education, in cognitively healthy middle‐aged individuals at risk for late‐life Alzheimer’s disease. Alzheimer s & Dementia. 19(S23). 1 indexed citations
8.
9.
Lawlor, Brian, et al.. (2022). Diminishing accelerated long-term forgetting in mild cognitive impairment: Study protocol for a prospective, double-blind, placebo-controlled, randomized controlled trial. Contemporary Clinical Trials Communications. 30. 100989–100989. 2 indexed citations
10.
O’Sullivan, Roger, Annette Burns, Gerard Leavey, et al.. (2021). Impact of the COVID-19 Pandemic on Loneliness and Social Isolation: A Multi-Country Study. International Journal of Environmental Research and Public Health. 18(19). 9982–9982. 119 indexed citations
11.
Dyer, Adam H., et al.. (2021). Long‐term antipsychotic use and cognitive decline in community‐dwelling older adults with mild–moderate Alzheimer disease: Data from NILVAD. International Journal of Geriatric Psychiatry. 36(11). 1708–1721. 4 indexed citations
12.
Keogh, Brian, Louise Daly, Geralyn Hynes, et al.. (2020). Acute hospital staff’s attitudes towards dementia and perceived dementia knowledge: a cross-sectional survey in Ireland. BMC Geriatrics. 20(1). 376–376. 17 indexed citations
13.
Dyer, Adam H., et al.. (2020). Social networks in mild-to-moderate Alzheimer disease: longitudinal relationships with dementia severity, cognitive function, and adverse events. Aging & Mental Health. 25(10). 1923–1929. 29 indexed citations
15.
Dyer, Adam H., et al.. (2020). Antidepressant use and orthostatic hypotension in older adults living with mild‐to‐moderate Alzheimer disease. International Journal of Geriatric Psychiatry. 35(11). 1367–1375. 5 indexed citations
16.
Wolfe, Hannah, Virginia Mela, Aedín M. Minogue, et al.. (2019). Monocytes exposed to plasma from patients with Alzheimer’s disease undergo metabolic reprogramming. Neuroscience Research. 148. 54–60. 6 indexed citations
18.
Dyer, Adam H., et al.. (2019). Is Ongoing Anticholinergic Burden Associated With Greater Cognitive Decline and Dementia Severity in Mild to Moderate Alzheimer’s Disease?. The Journals of Gerontology Series A. 75(5). 987–994. 14 indexed citations
19.
O’Sullivan, Michael, Sabina Brennan, Brian Lawlor, et al.. (2018). Cognitive functioning among cognitively intact dementia caregivers compared to matched self-selected and population controls. Aging & Mental Health. 23(5). 566–573. 23 indexed citations
20.
Glynn, Ronan W., Emer Shelley, & Brian Lawlor. (2017). Public knowledge and understanding of dementia—evidence from a national survey in Ireland. Age and Ageing. 46(5). 865–869. 45 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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