Mark Yates

518 total citations
29 papers, 210 citations indexed

About

Mark Yates is a scholar working on General Health Professions, Psychiatry and Mental health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mark Yates has authored 29 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in General Health Professions, 8 papers in Psychiatry and Mental health and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mark Yates's work include Geriatric Care and Nursing Homes (11 papers), Dementia and Cognitive Impairment Research (8 papers) and Frailty in Older Adults (4 papers). Mark Yates is often cited by papers focused on Geriatric Care and Nursing Homes (11 papers), Dementia and Cognitive Impairment Research (8 papers) and Frailty in Older Adults (4 papers). Mark Yates collaborates with scholars based in Australia, United Kingdom and Germany. Mark Yates's co-authors include Fergal Grace, Christopher Mesagno, Suzanne McLaren, Rapson Gomez, Kyle J. Miller, Anna Wong Shee, Dimity Pond, Dianne Goeman, Henry Brodaty and Harshal Nandurkar and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Neurobiology of Aging and Frontiers in Psychology.

In The Last Decade

Mark Yates

23 papers receiving 208 citations

Peers

Mark Yates

GHP

PMH

PHEOH

PHYSI

Li‐Hong Wan China

Mi Hwa Won South Korea

Paulo Roberto Zimmermann Brazil

Yongzhong Sun United Kingdom

Cameron G. Shultz United States

Jennifer Kawi United States

Ayşe Çil̇ Akıncı Türkiye

Mei Chang Yeh Taiwan

Hawa O. Abu United States

Andrea Mulkins Canada

Li‐Hong Wan China

Mark Yates

119 ×1.2

GHP

62 ×1.2

PMH

57 ×1.5

59 ×1.6

PHEOH

16 ×0.4

PHYSI

Citations per year, relative to Mark Yates Mark Yates (= 1×) peers Li‐Hong Wan

Countries citing papers authored by Mark Yates

Since Specialization

Citations

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

Fields of papers citing papers by Mark Yates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Yates

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

All Works

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20 of 20 papers shown

Yates, Mark & Michael J. Urick. (2025). Swift Leadership: A Taylor-made Approach to Influence and Decision Making.

Yates, Mark, Amy Brodtmann, Samantha M. Loi, et al.. (2025). Equity of access in rural and metropolitan dementia diagnosis, management, and care experiences: an exploratory qualitative study. International Journal for Equity in Health. 24(1). 74–74. 1 indexed citations

Yates, Mark, et al.. (2024). The impact of the Dementia Care in Hospitals Program on hospital acquired complications – a non-randomised stepped wedge hybrid effectiveness-implementation study. BMC Geriatrics. 24(1). 986–986.

Low, Lee‐Fay, Kate Laver, Mark Yates, et al.. (2024). Development of a model of help-seeking for dementia diagnosis by the person experiencing changes and family supporters. Aging & Mental Health. 29(5). 814–823.

Eratne, Dhamidhu, Steven Collins, Peter J. Nestor, et al.. (2024). Using cerebrospinal fluid biomarkers to diagnose Alzheimer’s disease: an Australian perspective. Frontiers in Psychiatry. 15. 1488494–1488494. 1 indexed citations

Goeman, Dianne, et al.. (2024). General practice nurse perceptions of barriers and facilitators to implementation of best-practice dementia care recommendations—a qualitative interview study. BMC Primary Care. 25(1). 147–147. 1 indexed citations

Goeman, Dianne, et al.. (2024). The perspectives of people living with dementia and their carers on the role of the general practice nurse in dementia care provision: a qualitative study. Australian Journal of Primary Health. 30(6).

Goeman, Dianne, et al.. (2023). Best-practice recommendations to inform general practice nurses in the provision of dementia care: a Delphi study. Australian Journal of Primary Health. 29(6). 643–649. 1 indexed citations

Yates, Mark, et al.. (2023). Lessons learnt from a community‐driven digital social connection pilot program for people living with dementia: A qualitative interview study with key stakeholders. Australian Journal of Rural Health. 31(6). 1229–1239. 1 indexed citations

10.

Fox, Amanda, Joel M. Dulhunty, E Ballard, et al.. (2023). The impact of a cognitive impairment support program on patients in an acute care setting: a pre-test post-test intervention study. BMC Geriatrics. 23(1). 260–260. 3 indexed citations

11.

Goeman, Dianne, et al.. (2021). The provision of dementia care in general practice: practice nurse perceptions of their role. BMC Family Practice. 22(1). 110–110. 16 indexed citations

12.

Martin‐Khan, Melinda, et al.. (2020). Interim guidance for health‐care professionals and administrators providing hospital care to adult patients with cognitive impairment, in the context of COVID‐19 pandemic. Australasian Journal on Ageing. 39(3). 283–286. 7 indexed citations

13.

Engel, Lidia, Jessica Bucholc, Cathrine Mihalopoulos, et al.. (2020). A qualitative exploration of the content and face validity of preference-based measures within the context of dementia. Health and Quality of Life Outcomes. 18(1). 178–178. 20 indexed citations

14.

Miller, Kyle J., Christopher Mesagno, Suzanne McLaren, et al.. (2019). Exercise, Mood, Self-Efficacy, and Social Support as Predictors of Depressive Symptoms in Older Adults: Direct and Interaction Effects. Frontiers in Psychology. 10. 2145–2145. 74 indexed citations

15.

Shee, Anna Wong, et al.. (2019). Impact of the Dementia Care in Hospitals Program on acute hospital staff satisfaction. BMC Health Services Research. 19(1). 680–680. 15 indexed citations

16.

Yates, Mark, et al.. (2018). Evaluating the Impact of the Dementia Care in Hospitals Program (DCHP) on Hospital-Acquired Complications: Study Protocol. International Journal of Environmental Research and Public Health. 15(9). 1878–1878. 10 indexed citations

17.

Yates, Mark, et al.. (2018). Will SCOBY do? An alternative for teaching basic surgical skills of suturing and skin excision. 5. 99–104. 1 indexed citations

18.

Janus, Edward, et al.. (2011). Thromboprophylaxis use in medical and surgical inpatients and the impact of an electronic risk assessment tool as part of a multi-factorial intervention. A report on behalf of the elVis study investigators. Journal of Thrombosis and Thrombolysis. 32(3). 279–287. 14 indexed citations

19.

Yates, Mark, et al.. (2009). The cognitive impairment identifier program: A Victorian hospital alert and education program for cognitive impairment. Alzheimer s & Dementia. 5(5). 1 indexed citations

20.

Yates, Mark, et al.. (2004). P2-348 An all of hospital program to improve the awareness of and communication with people with cognitive impairment, linked to a bedside cognitive impairment identifier. Neurobiology of Aging. 25. S332–S332. 2 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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