Ian B. Malone

5.2k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Ian B. Malone is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Ian B. Malone has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 29 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Physiology. Recurrent topics in Ian B. Malone's work include Dementia and Cognitive Impairment Research (27 papers), Advanced Neuroimaging Techniques and Applications (27 papers) and Alzheimer's disease research and treatments (22 papers). Ian B. Malone is often cited by papers focused on Dementia and Cognitive Impairment Research (27 papers), Advanced Neuroimaging Techniques and Applications (27 papers) and Alzheimer's disease research and treatments (22 papers). Ian B. Malone collaborates with scholars based in United Kingdom, Netherlands and United States. Ian B. Malone's co-authors include Nick C. Fox, Gerard R. Ridgway, Sébastien Ourselin, Jonathan M. Schott, David M. Cash, Josephine Barnes, Kelvin K. Leung, Natalie S. Ryan, Martin N. Rossor and Shona Clegg and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Ian B. Malone

53 papers receiving 1.8k citations

Hit 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.

Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance

2014 305 citations Ian B. Malone, Kelvin K. Leung et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian B. Malone United Kingdom	21	743	726	574	541	339	56	1.8k
Etsuko Imabayashi Japan	29	686 0.9×	761 1.0×	710 1.2×	836 1.5×	342 1.0×	83	2.5k
Robert I. Reid United States	25	840 1.1×	590 0.8×	503 0.9×	671 1.2×	331 1.0×	94	1.9k
Martina Bocchetta United Kingdom	24	415 0.6×	679 0.9×	771 1.3×	568 1.0×	508 1.5×	70	2.1k
Mahsa Dadar Canada	30	607 0.8×	599 0.8×	549 1.0×	657 1.2×	722 2.1×	110	2.4k
Mohamad Habes United States	24	521 0.7×	807 1.1×	588 1.0×	587 1.1×	258 0.8×	93	2.5k
Jimit Doshi United States	30	902 1.2×	897 1.2×	537 0.9×	1.2k 2.2×	332 1.0×	62	3.1k
Ramesh Avula United States	11	730 1.0×	439 0.6×	386 0.7×	766 1.4×	389 1.1×	19	1.6k
Laura E.M. Wisse United States	26	519 0.7×	800 1.1×	662 1.2×	828 1.5×	180 0.5×	77	1.9k
Wanlin Zhu China	28	798 1.1×	733 1.0×	396 0.7×	1.2k 2.3×	157 0.5×	73	2.3k
Sana Suri United Kingdom	22	457 0.6×	437 0.6×	284 0.5×	536 1.0×	239 0.7×	58	1.6k

Countries citing papers authored by Ian B. Malone

Since Specialization

Citations

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

Fields of papers citing papers by Ian B. Malone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian B. Malone. 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 Ian B. Malone. The network helps show where Ian B. Malone may publish in the future.

Co-authorship network of co-authors of Ian B. Malone

This figure shows the co-authorship network connecting the top 25 collaborators of Ian B. Malone. A scholar is included among the top collaborators of Ian B. Malone 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 Ian B. Malone. Ian B. Malone 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

Brown, Thomas H., Sarah‐Naomi James, Jennifer M. Nicholas, et al.. (2025). Association of Increase in White Matter Hyperintensity Volume With Rate of Hippocampal Atrophy in a Population-Based Study of Aging. Neurology. 105(5). e213975–e213975.

Hughes, Alun D., Carole H. Sudre, Nish Chaturvedi, et al.. (2025). Sex differences between mid-life glycaemic traits and brain volume at age 70: a population-based study. European Journal of Endocrinology. 192(5). K44–K49.

James, Sarah‐Naomi, Carole H. Sudre, Josephine Barnes, et al.. (2024). The relationship between leisure time physical activity patterns, Alzheimer’s disease markers and cognition. Brain Communications. 7(1). fcae431–fcae431. 3 indexed citations

Lu, Kirsty, John Baker, Jennifer M. Nicholas, et al.. (2024). Associations between accelerated forgetting, amyloid deposition and brain atrophy in older adults. Brain. 148(4). 1302–1315. 3 indexed citations

O’Connor, Antoinette, David M. Cash, Teresa Poole, et al.. (2023). Tau accumulation in autosomal dominant Alzheimer’s disease: a longitudinal [18F]flortaucipir study. Alzheimer s Research & Therapy. 15(1). 6 indexed citations

MacDougall, Amy, Carole H. Sudre, Emily N. Manning, et al.. (2022). Predicting Cognitive Decline in Older Adults Using Baseline Metrics of AD Pathologies, Cerebrovascular Disease, and Neurodegeneration. Neurology. 100(8). e834–e845. 11 indexed citations

Shi, Lin, Yishan Luo, Chao Wan, et al.. (2022). Validation of the Alzheimer’s disease-resemblance atrophy index in classifying and predicting progression in Alzheimer’s disease. Frontiers in Aging Neuroscience. 14. 932125–932125. 4 indexed citations

Chaturvedi, Nish, Christopher Lane, Kirsty Lu, et al.. (2021). Sex-related differences in whole brain volumes at age 70 in association with hyperglycemia during adult life. Neurobiology of Aging. 112. 161–169. 4 indexed citations

Malone, Ian B., Teresa Poole, Catherine F. Slattery, et al.. (2021). Loss and dispersion of superficial white matter in Alzheimer’s disease: a diffusion MRI study. Brain Communications. 3(4). fcab272–fcab272. 26 indexed citations

10.

Sudre, Carole H., Alexandra L. Young, Amy MacDougall, et al.. (2021). Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative. Brain Communications. 3(4). fcab226–fcab226. 7 indexed citations

11.

Buchanan, Sarah M., Thomas D. Parker, Chris Lane, et al.. (2020). Olfactory testing does not predict β-amyloid, MRI measures of neurodegeneration or vascular pathology in the British 1946 birth cohort. Journal of Neurology. 267(11). 3329–3336. 5 indexed citations

12.

Keuss, Sarah E, Thomas D. Parker, Christopher Lane, et al.. (2019). Incidental findings on brain imaging and blood tests: results from the first phase of Insight 46, a prospective observational substudy of the 1946 British birth cohort. BMJ Open. 9(7). e029502–e029502. 10 indexed citations

13.

Parker, Thomas D., David M. Cash, Chris Lane, et al.. (2019). Pure tone audiometry and cerebral pathology in healthy older adults. Journal of Neurology Neurosurgery & Psychiatry. 91(2). 172–176. 20 indexed citations

14.

Parker, Thomas D., David M. Cash, Christopher Lane, et al.. (2019). Hippocampal subfield volumes and pre-clinical Alzheimer’s disease in 408 cognitively normal adults born in 1946. PLoS ONE. 14(10). e0224030–e0224030. 24 indexed citations

15.

Kehoe, Patrick G., Peter S Blair, Beth Howden, et al.. (2017). The Rationale and Design of the Reducing Pathology in Alzheimer’s Disease through Angiotensin TaRgeting (RADAR) Trial. Journal of Alzheimer s Disease. 61(2). 803–814. 26 indexed citations

16.

Hobbs, Nicola Z., Ruth Farmer, Elin M. Rees, et al.. (2015). Short-interval observational data to inform clinical trial design in Huntington's disease. Journal of Neurology Neurosurgery & Psychiatry. 86(12). 1291–1298. 21 indexed citations

17.

Leung, Kelvin K., Ian B. Malone, Sébastien Ourselin, et al.. (2014). Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement. NeuroImage. 107. 46–53. 16 indexed citations

18.

Ryan, Natalie S., Shiva Keihaninejad, Timothy J. Shakespeare, et al.. (2013). Magnetic resonance imaging evidence for presymptomatic change in thalamus and caudate in familial Alzheimer’s disease. Brain. 136(5). 1399–1414. 163 indexed citations

19.

Keihaninejad, Shiva, Natalie S. Ryan, Ian B. Malone, et al.. (2012). The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease. PLoS ONE. 7(11). e45996–e45996. 71 indexed citations

20.

Hobbs, Nicola Z., James H. Cole, Ruth Farmer, et al.. (2012). Evaluation of multi-modal, multi-site neuroimaging measures in Huntington's disease: Baseline results from the PADDINGTON study. NeuroImage Clinical. 2. 204–211. 34 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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