Ashvini Keshavan

2.4k total citations
38 papers, 976 citations indexed

About

Ashvini Keshavan is a scholar working on Psychiatry and Mental health, Physiology and Neurology. According to data from OpenAlex, Ashvini Keshavan has authored 38 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Psychiatry and Mental health, 21 papers in Physiology and 7 papers in Neurology. Recurrent topics in Ashvini Keshavan's work include Dementia and Cognitive Impairment Research (23 papers), Alzheimer's disease research and treatments (20 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Ashvini Keshavan is often cited by papers focused on Dementia and Cognitive Impairment Research (23 papers), Alzheimer's disease research and treatments (20 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Ashvini Keshavan collaborates with scholars based in United Kingdom, Sweden and United States. Ashvini Keshavan's co-authors include Jonathan M. Schott, Amanda Heslegrave, Henrik Zetterberg, Nick C. Fox, Martha Foiani, Jonathan D. Rohrer, Philip S.J. Weston, Jamie Toombs, Ross W. Paterson and Jason D. Warren and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Ashvini Keshavan

34 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashvini Keshavan United Kingdom 18 589 410 209 192 181 38 976
Marwan Sabbagh United States 8 432 0.7× 349 0.9× 218 1.0× 154 0.8× 131 0.7× 13 927
Olga Pletnikova United States 12 527 0.9× 414 1.0× 226 1.1× 210 1.1× 163 0.9× 17 958
Britta Brix Germany 17 617 1.0× 484 1.2× 264 1.3× 238 1.2× 268 1.5× 25 1.2k
Francesco Garaci Italy 17 595 1.0× 278 0.7× 285 1.4× 162 0.8× 149 0.8× 25 1.1k
Manu Vandijck Belgium 11 660 1.1× 559 1.4× 189 0.9× 165 0.9× 119 0.7× 29 904
Joakim Hertze Sweden 10 661 1.1× 434 1.1× 235 1.1× 321 1.7× 143 0.8× 11 990
Jeremy J. Pruzin United States 13 604 1.0× 336 0.8× 202 1.0× 279 1.5× 285 1.6× 23 1.1k
Hyun‐Sik Yang United States 20 674 1.1× 492 1.2× 313 1.5× 296 1.5× 150 0.8× 51 1.3k
Sigrid Botne Sando Norway 22 649 1.1× 384 0.9× 302 1.4× 228 1.2× 242 1.3× 41 1.3k
Wagner S. Brum Brazil 16 700 1.2× 561 1.4× 209 1.0× 173 0.9× 96 0.5× 37 1.0k

Countries citing papers authored by Ashvini Keshavan

Since Specialization
Citations

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

Fields of papers citing papers by Ashvini Keshavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashvini Keshavan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashvini Keshavan. A scholar is included among the top collaborators of Ashvini Keshavan 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 Ashvini Keshavan. Ashvini Keshavan 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.
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.
2.
Keshavan, Ashvini, et al.. (2025). Plasma phosphorylated tau for Alzheimer's disease diagnosis. The Lancet Neurology. 24(9). 715–717.
3.
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
4.
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
5.
Green, Rebecca, Charlotte Warren‐Gash, Julia Butt, et al.. (2024). Associations of several common infections with amyloid‐β pathology in vivo: a population‐based study. Alzheimer s & Dementia. 20(S7).
6.
Graham, Neil, Karl Zimmerman, Amanda Heslegrave, et al.. (2023). Alzheimer’s disease marker phospho-tau181 is not elevated in the first year after moderate-to-severe TBI. Journal of Neurology Neurosurgery & Psychiatry. 95(4). jnnp–2023. 3 indexed citations
7.
Keshavan, Ashvini, Miles Chapman, Melanie Hart, et al.. (2022). CSF biomarkers for dementia. Practical Neurology. 22(4). 285–294. 8 indexed citations
8.
Heslegrave, Amanda, Nicholas J. Ashton, Thomas K. Karikari, et al.. (2021). Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease. Journal of Internal Medicine. 290(3). 583–601. 60 indexed citations
9.
Pavisic, Ivanna M., Kirsty Lu, Sarah E Keuss, et al.. (2021). Subjective cognitive complaints at age 70: associations with amyloid and mental health. Journal of Neurology Neurosurgery & Psychiatry. 92(11). 1215–1221. 24 indexed citations
10.
Banerjee, Gargi, Niklas Forsgard, Gareth Ambler, et al.. (2021). Cerebrospinal fluid metallomics in cerebral amyloid angiopathy: an exploratory analysis. Journal of Neurology. 269(3). 1470–1475. 5 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.
Woollacott, Ione, Jennifer M. Nicholas, Carolin Heller, et al.. (2020). Cerebrospinal Fluid YKL-40 and Chitotriosidase Levels in Frontotemporal Dementia Vary by Clinical, Genetic and Pathological Subtype. Dementia and Geriatric Cognitive Disorders. 49(1). 56–76. 29 indexed citations
13.
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
14.
Brinkmalm, Ann, Martha Foiani, Ione Woollacott, et al.. (2019). CSF synaptic protein concentrations are raised in those with atypical Alzheimer’s disease but not frontotemporal dementia. Alzheimer s Research & Therapy. 11(1). 105–105. 42 indexed citations
15.
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
16.
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
17.
Foiani, Martha, Claudia Cicognola, Natalia Ermann, et al.. (2019). Searching for novel cerebrospinal fluid biomarkers of tau pathology in frontotemporal dementia: an elusive quest. Journal of Neurology Neurosurgery & Psychiatry. 90(7). 740–746. 24 indexed citations
18.
James, Sarah‐Naomi, Christopher Lane, Thomas D. Parker, et al.. (2018). Using a birth cohort to study brain health and preclinical dementia: recruitment and participation rates in Insight 46. BMC Research Notes. 11(1). 885–885. 30 indexed citations
19.
Paterson, Ross W., Catherine F. Slattery, Teresa Poole, et al.. (2018). Cerebrospinal fluid in the differential diagnosis of Alzheimer’s disease: clinical utility of an extended panel of biomarkers in a specialist cognitive clinic. Alzheimer s Research & Therapy. 10(1). 32–32. 105 indexed citations
20.
Keshavan, Ashvini, Amanda Heslegrave, Henrik Zetterberg, & Jonathan M. Schott. (2016). Blood Biomarkers for Alzheimer’s Disease: Much Promise, Cautious Progress. Molecular Diagnosis & Therapy. 21(1). 13–22. 30 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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