Klaus P. Ebmeier

28.2k total citations · 7 hit papers
328 papers, 19.6k citations indexed

About

Klaus P. Ebmeier is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Klaus P. Ebmeier has authored 328 papers receiving a total of 19.6k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Cognitive Neuroscience, 120 papers in Psychiatry and Mental health and 76 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Klaus P. Ebmeier's work include Functional Brain Connectivity Studies (99 papers), Dementia and Cognitive Impairment Research (67 papers) and Advanced Neuroimaging Techniques and Applications (46 papers). Klaus P. Ebmeier is often cited by papers focused on Functional Brain Connectivity Studies (99 papers), Dementia and Cognitive Impairment Research (67 papers) and Advanced Neuroimaging Techniques and Applications (46 papers). Klaus P. Ebmeier collaborates with scholars based in United Kingdom, France and United States. Klaus P. Ebmeier's co-authors include Claire E. Sexton, Clare E. Mackay, Mika Kivimäki, Ronan E. O’Carroll, Guy M. Goodwin, Vyara Valkanova, Charlotte L. Allan, Lisa McDermott, Nicola Filippini and Lucie L. Herrmann and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Klaus P. Ebmeier

320 papers receiving 19.1k citations

Hit Papers

5 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.

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

2014 910 citations Ludovica Griffanti, Claire E. Sexton et al. NeuroImage profile →
Cumulative meta-analysis of interleukins 6 and 1β, tumour necrosis factor α and C-reactive protein in patients with major depressive disorder

2015 824 citations Klaus P. Ebmeier, Mika Kivimäki et al. profile →
CRP, IL-6 and depression: A systematic review and meta-analysis of longitudinal studies

2013 721 citations Klaus P. Ebmeier, Charlotte L. Allan et al. profile →
A meta-analysis of depression severity and cognitive function

2009 720 citations Klaus P. Ebmeier et al. profile →
Timing of onset of cognitive decline: results from Whitehall II prospective cohort study

2012 588 citations Archana Singh‐Manoux, Mika Kivimäki et al. profile →
Trajectories of Depressive Symptoms Before Diagnosis of Dementia

2017 336 citations Archana Singh‐Manoux, Klaus P. Ebmeier et al. profile →
Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study

2017 296 citations Anya Topiwala, Charlotte L. Allan et al. profile →

Peers

Countries citing papers authored by Klaus P. Ebmeier

Since Specialization

Citations

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

Fields of papers citing papers by Klaus P. Ebmeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus P. Ebmeier. 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 Klaus P. Ebmeier. The network helps show where Klaus P. Ebmeier may publish in the future.

Co-authorship network of co-authors of Klaus P. Ebmeier

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Automated quality control of T1-weighted brain MRI scans for clinical research datasets: methods comparison and design of a quality prediction classifier 2025 ·Imaging Neuroscience ·(unknown), (unknown), (unknown), Sana Suri, Klaus P. Ebmeier, Johannes Klein, (unknown), Clare E. Mackay, Ludovica Griffanti	0
2	Development and validation of a dementia risk score in the UK Biobank and Whitehall II cohorts 2023 ·SHILAP Revista de lepidopterología ·Melis Anatürk, Raihaan Patel, Klaus P. Ebmeier, (unknown), Danielle Newby, Anya Topiwala, Ann‐Marie G. de Lange, James H. Cole, (unknown), Archana Singh‐Manoux, Mika Kivimäki, Sana Suri	21
3	Automated quality control of structural brain MRI scans from aging and dementia datasets 2023 ·Alzheimer s & Dementia ·Ludovica Griffanti, (unknown), (unknown), (unknown), Sana Suri, Klaus P. Ebmeier, Johannes Klein, (unknown), Clare E. Mackay	1
4	Sex‐ and age‐specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort 2022 ·Human Brain Mapping ·Sivaniya Subramaniapillai, Sana Suri, Cláudia Barth, Ivan I. Maximov, Irene Voldsbekk, Dennis van der Meer, Tiril P. Gurholt, Dani Beck, Bogdan Draganski, Ole A. Andreassen, Klaus P. Ebmeier, Lars T. Westlye, Ann‐Marie G. de Lange	22
5	Mind the gap: Performance metric evaluation in brain‐age prediction 2022 ·Human Brain Mapping ·Ann‐Marie G. de Lange, Melis Anatürk, Jaroslav Rokicki, Laura K. M. Han, Katja Franke, Dag Alnæs, Klaus P. Ebmeier, Bogdan Draganski, Tobias Kaufmann, Lars T. Westlye, Tim Hahn, James H. Cole	82
6	White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance 2021 ·NeuroImage Clinical ·(unknown), Clare E. Mackay, (unknown), Sana Suri, Enikő Zsoldos, Nicola Filippini, Abda Mahmood, Vaanathi Sundaresan, Marina Codari, Eugene Duff, Archana Singh‐Manoux, Mika Kivimäki, Klaus P. Ebmeier, Mark Jenkinson, Francesco Sardanelli, Ludovica Griffanti	13
7	Prominent health problems, socioeconomic deprivation, and higher brain age in lonely and isolated individuals: A population-based study 2020 ·PsyArXiv (OSF Preprints) ·Ann‐Marie G. de Lange, Tobias Kaufmann, Daniel Quintana, Adriano Winterton, Ole A. Andreassen, Lars T. Westlye, Klaus P. Ebmeier	5
8	Prediction of brain age and cognitive age: quantifying brain and cognitive maintenance in aging 2020 ·Oxford University Research Archive (ORA) (University of Oxford) ·Melis Anatürk, Tobias Kaufmann, James H. Cole, Sana Suri, Ludovica Griffanti, Enikő Zsoldos, Nicola Filippini, Archana Singh‐Manoux, Mika Kivimäki, Lars T. Westlye, Klaus P. Ebmeier, Ann‐Marie G. de Lange	7
9	Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study 2020 ·NeuroImage ·Ann‐Marie G. de Lange, Melis Anatürk, Sana Suri, Tobias Kaufmann, James H. Cole, Ludovica Griffanti, Enikő Zsoldos, Daria E. A. Jensen, Nicola Filippini, Archana Singh‐Manoux, Mika Kivimäki, Lars T. Westlye, Klaus P. Ebmeier	77
10	Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging 2020 ·Human Brain Mapping ·Melis Anatürk, Tobias Kaufmann, James H. Cole, Sana Suri, Ludovica Griffanti, Enikő Zsoldos, Nicola Filippini, Archana Singh‐Manoux, Mika Kivimäki, Lars T. Westlye, Klaus P. Ebmeier, Ann‐Marie G. de Lange	86
11	A systematic review and meta-analysis of structural magnetic resonance imaging studies investigating cognitive and social activity levels in older adults 2018 ·Neuroscience & Biobehavioral Reviews ·Melis Anatürk, Naiara Demnitz, Klaus P. Ebmeier, Claire E. Sexton	45
12	Color perception differentiates Alzheimer's Disease (AD) from Vascular Dementia (VaD) patients 2017 ·International Psychogeriatrics ·Nikitas A. Arnaoutoglou, Marianthi Arnaoutoglou, Petros Nemtsas, Vassiliki Costa, Stavros Balogiannis, Klaus P. Ebmeier	12
13	Imaging and neurobiological changes in late-life depression 2014 ·British Journal of Hospital Medicine ·Charlotte L. Allan, Enikő Zsoldos, Klaus P. Ebmeier	1
14	Review of treatment for late-life depression 2013 ·Advances in Psychiatric Treatment ·Charlotte L. Allan, Klaus P. Ebmeier	14
15	Primary care management of patients who self-harm. 2012 ·PubMed ·Charlotte L. Allan, (unknown), Klaus P. Ebmeier	1
16	Examining Overweight and Obesity as Risk Factors for Common Mental Disorders Using Fat Mass and Obesity-Associated (FTO) Genotype-Instrumented Analysis 2011 ·UCL Discovery (University College London) ·Mika Kivimäki, Markus Jokela, Mark Hamer, John Geddes, Klaus P. Ebmeier, Meena Kumari, Archana Singh‐Manoux, Aroon D. Hingorani, G. David Batty	6
17	Ageing and Older Adult Mental Health: Issues and Implications for Practice 2011 ·Psychological Medicine ·Klaus P. Ebmeier	6
18	Frontiers in TMS technology development: Controllable pulse shape TMS (cTMS) and magnetic seizure therapy (MST) at 100 Hz 2007 ·Biological Psychiatry ·Angel V. Peterchev, George Kirov, Klaus P. Ebmeier, Alexander P. Scott, Mustafa M. Husain, Sarah H. Lisanby	7
19	Regional cerebral blood flow in IDDM patients: Effects of diabetes and of recurrent severe hypoglycaemia 1994 ·Diabetologia ·K. M. MacLeod, David Hepburn, Ian J. Deary, Guy M. Goodwin, Nadine Dougall, Klaus P. Ebmeier, Brian M. Frier	47
20	P3 and CT Scan in Patients with Chronic Schizophrenia 1988 ·The British Journal of Psychiatry ·Klaus P. Ebmeier, Douglas D. Potter, E.A. Salzen	1

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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