Janice M. Ranson

2.0k total citations · 1 hit paper
31 papers, 692 citations indexed

About

Janice M. Ranson is a scholar working on Psychiatry and Mental health, Physiology and Molecular Biology. According to data from OpenAlex, Janice M. Ranson has authored 31 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Janice M. Ranson's work include Dementia and Cognitive Impairment Research (10 papers), Machine Learning in Healthcare (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Janice M. Ranson is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Machine Learning in Healthcare (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Janice M. Ranson collaborates with scholars based in United Kingdom, United States and Italy. Janice M. Ranson's co-authors include David J. Llewellyn, Charlotte James, Kenneth M. Langa, Richard Everson, Xin You Tai, David Ward, Ilianna Lourida, Lindsay Wallace, Kenneth Rockwood and Michele Veldsman and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Scientific Reports.

In The Last Decade

Janice M. Ranson

26 papers receiving 683 citations

Hit Papers

Mediterranean diet adherence is associated with lower dem... 2023 2026 2024 2025 2023 25 50 75

Peers

Janice M. Ranson
Tim Wilkinson United Kingdom
Ting Fang Alvin Ang United States
Joylee Wu United States
Ron Handels Netherlands
Tim Wilkinson United Kingdom
Janice M. Ranson
Citations per year, relative to Janice M. Ranson Janice M. Ranson (= 1×) peers Tim Wilkinson

Countries citing papers authored by Janice M. Ranson

Since Specialization
Citations

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

Fields of papers citing papers by Janice M. Ranson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janice M. Ranson. 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 Janice M. Ranson. The network helps show where Janice M. Ranson may publish in the future.

Co-authorship network of co-authors of Janice M. Ranson

This figure shows the co-authorship network connecting the top 25 collaborators of Janice M. Ranson. A scholar is included among the top collaborators of Janice M. Ranson 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 Janice M. Ranson. Janice M. Ranson 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.
Underwood, Benjamin R., Ilianna Lourida, Jessica Gong, et al.. (2025). Data‐driven discovery of associations between prescribed drugs and dementia risk: A systematic review. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(1). e70037–e70037. 2 indexed citations
2.
Corbett, Anne, Rod S Taylor, David J. Llewellyn, et al.. (2025). Impact of Vitamin D Supplementation on Cognition in Adults With Mild to Moderate Vitamin D Deficiency: Outcomes From the VitaMIND Randomized Controlled Trial. Journal of the American Medical Directors Association. 26(8). 105711–105711.
3.
Winchester, Laura, Danielle Newby, Peifeng Hu, et al.. (2025). The relationship between anaemia, haemoglobin levels, and cognitive function: Evidence in two population-based cohorts from India and the United States. Neurobiology of Disease. 216. 107112–107112.
4.
Fürtjes, Anna E., Donncha S. Mullin, John D. Fisk, et al.. (2025). Uncovering the multivariate genetic architecture of frailty with genomic structural equation modeling. Nature Genetics. 57(8). 1848–1859.
5.
Pain, Oliver, Ashley Jones, Ahmad Al Khleifat, et al.. (2024). Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction. Heliyon. 10(15). e35342–e35342. 4 indexed citations
6.
Liu, Min, Yifan Tao, Janice M. Ranson, et al.. (2024). Association of aging acceleration with serum neurofilament light chain levels: Implications for the roles of modifiable aging factors. Journal of Affective Disorders. 372. 481–490.
7.
Ward, David, Thomas J. Littlejohns, Marco Canevelli, et al.. (2024). Frailty Trajectories Preceding Dementia in the US and UK. JAMA Neurology. 82(1). 61–61. 10 indexed citations
8.
Shannon, Oliver M., Janice M. Ranson, Sarah Gregory, et al.. (2023). Mediterranean diet adherence is associated with lower dementia risk, independent of genetic predisposition: findings from the UK Biobank prospective cohort study. BMC Medicine. 21(1). 81–81. 83 indexed citations breakdown →
9.
Leist, Anja, et al.. (2023). Socioeconomic Deprivation, Genetic Risk, and Incident Dementia. American Journal of Preventive Medicine. 64(5). 621–630. 20 indexed citations
10.
Ranson, Janice M., Magda Bucholc, Donald M. Lyall, et al.. (2023). Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics. 10(1). 6–6. 12 indexed citations
11.
Winchester, Laura, Eric L. Harshfield, AmanPreet Badhwar, et al.. (2023). Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia. Alzheimer s & Dementia. 19(12). 5860–5871. 58 indexed citations
12.
Marzi, Sarah J., Brian M. Schilder, Alexi Nott, et al.. (2023). Artificial intelligence for neurodegenerative experimental models. Alzheimer s & Dementia. 19(12). 5970–5987. 15 indexed citations
13.
Doherty, T., Zhi Yao, Ahmad Al Khleifat, et al.. (2023). Artificial intelligence for dementia drug discovery and trials optimization. Alzheimer s & Dementia. 19(12). 5922–5933. 18 indexed citations
14.
Lyall, Donald M., Andrey Kormilitzin, Claire Lancaster, et al.. (2023). Artificial intelligence for dementia—Applied models and digital health. Alzheimer s & Dementia. 19(12). 5872–5884. 30 indexed citations
15.
Bucholc, Magda, Charlotte James, Ahmad Al Khleifat, et al.. (2023). Artificial intelligence for dementia research methods optimization. Alzheimer s & Dementia. 19(12). 5934–5951. 15 indexed citations
16.
Nihat, Akın, Janice M. Ranson, Peter Rudge, et al.. (2022). Development of prognostic models for survival and care status in sporadic Creutzfeldt-Jakob disease. Brain Communications. 4(4). fcac201–fcac201. 7 indexed citations
17.
Tai, Xin You, Michele Veldsman, Donald M. Lyall, et al.. (2022). Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study. The Lancet Healthy Longevity. 3(6). e428–e436. 75 indexed citations
18.
Huang, Jie, Zhisheng Liang, Janice M. Ranson, et al.. (2021). PAGEANT: personal access to genome and analysis of natural traits. Nucleic Acids Research. 50(7). e39–e39.
19.
Ward, David, Janice M. Ranson, Lindsay Wallace, David J. Llewellyn, & Kenneth Rockwood. (2021). Frailty, lifestyle, genetics and dementia risk. Journal of Neurology Neurosurgery & Psychiatry. 93(4). 343–350. 79 indexed citations
20.
Zhang, Na, Janice M. Ranson, Zhi‐Jie Zheng, et al.. (2021). Interaction between genetic predisposition, smoking, and dementia risk: a population-based cohort study. Scientific Reports. 11(1). 12953–12953. 10 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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