Christopher Buckley

5.5k total citations · 1 hit paper
111 papers, 3.3k citations indexed

About

Christopher Buckley is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Christopher Buckley has authored 111 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Psychiatry and Mental health and 30 papers in Physiology. Recurrent topics in Christopher Buckley's work include Dementia and Cognitive Impairment Research (30 papers), Alzheimer's disease research and treatments (29 papers) and Medical Imaging Techniques and Applications (28 papers). Christopher Buckley is often cited by papers focused on Dementia and Cognitive Impairment Research (30 papers), Alzheimer's disease research and treatments (29 papers) and Medical Imaging Techniques and Applications (28 papers). Christopher Buckley collaborates with scholars based in United Kingdom, United States and Sweden. Christopher Buckley's co-authors include Claudia Mazzà, Rik Vandenberghe, Gill Farrar, Adrian Smith, David J. Brooks, Koen Van Laere, Fabio Alexander Storm, Lennart Thurfjell, Natalie Nelissen and Lynn Rochester and has published in prestigious journals such as The Journal of Cell Biology, NeuroImage and Neurology.

In The Last Decade

Christopher Buckley

107 papers receiving 3.2k citations

Hit Papers

18F‐flutemetamol amyloid imaging in Alzheimer disease and... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Buckley United Kingdom 32 1.4k 1.4k 787 484 370 111 3.3k
Stefan Förster Germany 34 629 0.5× 721 0.5× 1.2k 1.6× 811 1.7× 364 1.0× 121 3.4k
Kengo Ito Japan 36 2.0k 1.4× 1.9k 1.4× 1.6k 2.0× 1.1k 2.2× 769 2.1× 198 6.1k
Axel Rominger Switzerland 39 1.1k 0.8× 918 0.7× 2.9k 3.7× 630 1.3× 573 1.5× 335 6.5k
Sang Won Seo South Korea 35 1.3k 0.9× 1.7k 1.2× 640 0.8× 1.0k 2.2× 436 1.2× 242 4.8k
Hoby P. Hetherington United States 48 820 0.6× 933 0.7× 3.6k 4.6× 720 1.5× 1.0k 2.8× 147 6.4k
Hajime Kitagaki Japan 36 1.1k 0.8× 1.3k 0.9× 1.2k 1.5× 812 1.7× 231 0.6× 129 4.1k
H. Michael Gach United States 26 533 0.4× 646 0.5× 966 1.2× 420 0.9× 176 0.5× 98 2.5k
Ronald A. van Schijndel Netherlands 30 631 0.5× 933 0.7× 1.2k 1.6× 831 1.7× 310 0.8× 53 3.4k
Danielle van Westen Sweden 43 1.7k 1.2× 1.5k 1.1× 2.7k 3.4× 1.1k 2.3× 712 1.9× 173 6.6k
Amir Abduljalil United States 37 364 0.3× 192 0.1× 1.7k 2.2× 375 0.8× 185 0.5× 74 3.3k

Countries citing papers authored by Christopher Buckley

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Buckley

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Buckley. A scholar is included among the top collaborators of Christopher Buckley 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 Christopher Buckley. Christopher Buckley 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.
Lemley, Mark A., Paul Kavanagh, Christopher Buckley, et al.. (2025). Subendocardial quantification enhances coronary artery disease detection in 18F-flurpiridaz PET. European Journal of Nuclear Medicine and Molecular Imaging. 52(9). 3342–3352. 2 indexed citations
2.
Miller, Robert J.H., Mark Lemley, Joanna X. Liang, et al.. (2025). Incremental diagnostic value of artificial intelligence-derived coronary artery calcium in 18F-flurpiridaz positron emission tomography myocardial perfusion imaging. Journal of Nuclear Cardiology. 54. 102532–102532.
3.
Bollack, Ariane, Lyduine E. Collij, Mahnaz Shekari, et al.. (2024). The Centiloid scale: guidance on clinical context of use from the AMYPAD Consortium. Alzheimer s & Dementia. 20(S2). 1 indexed citations
4.
Collij, Lyduine E., Ariane Bollack, Renaud La Joie, et al.. (2024). Centiloid recommendations for clinical context‐of‐use from the AMYPAD consortium. Alzheimer s & Dementia. 20(12). 9037–9048. 22 indexed citations
5.
Shekari, Mahnaz, David Vállez García, Lyduine E. Collij, et al.. (2024). Stress testing the Centiloid: Precision and variability of PET quantification of amyloid pathology. Alzheimer s & Dementia. 20(8). 5102–5113. 14 indexed citations
6.
Megaritis, Dimitrios, Emily Hume, Nikolaos Chynkiamis, et al.. (2023). Effects of pharmacological and non-pharmacological interventions on physical activity outcomes in COPD: a systematic review and meta-analysis. ERJ Open Research. 9(5). 409–2023. 9 indexed citations
7.
Collij, Lyduine E., Giovanni B. Frisoni, Frederik Barkhof, et al.. (2023). Inverse relationship between education and amyloid burden in individuals with subjective cognitive decline plus and mild cognitive impairment. Alzheimer s & Dementia. 19(S3). 1 indexed citations
8.
Pemberton, Hugh, Lyduine E. Collij, Fiona Heeman, et al.. (2022). Quantification of amyloid PET for future clinical use: a state-of-the-art review. European Journal of Nuclear Medicine and Molecular Imaging. 49(10). 3508–3528. 104 indexed citations
9.
Binette, Alexa Pichet, Sebastian Palmqvist, Divya Bali, et al.. (2022). Combining plasma phospho-tau and accessible measures to evaluate progression to Alzheimer’s dementia in mild cognitive impairment patients. Alzheimer s Research & Therapy. 14(1). 46–46. 33 indexed citations
10.
Otaki, Yuka, Serge D. Van Kriekinge, Paul Kavanagh, et al.. (2021). Improved myocardial blood flow estimation with residual activity correction and motion correction in 18F-flurpiridaz PET myocardial perfusion imaging. European Journal of Nuclear Medicine and Molecular Imaging. 49(6). 1881–1893. 21 indexed citations
11.
Poitrasson-Rivière, Alexis, Jonathan B. Moody, Jennifer M. Renaud, et al.. (2021). Impact of residual subtraction on myocardial blood flow and reserve estimates from rapid dynamic PET protocols. Journal of Nuclear Cardiology. 29(5). 2262–2270. 9 indexed citations
12.
Buckley, Christopher, Alana Cavadino, Silvia Del Din, et al.. (2020). Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough?. Sensors. 20(21). 6314–6314. 10 indexed citations
13.
Buckley, Christopher & Jeffrey S. Cooper. (2020). Hyperbaric Affects On Angiogenesis. StatPearls. 1 indexed citations
14.
Rehman, Rana Zia Ur, Christopher Buckley, M. Encarna Micó-Amigo, et al.. (2020). Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?. IEEE Open Journal of Engineering in Medicine and Biology. 1. 65–73. 43 indexed citations
15.
Collij, Lyduine E., et al.. (2019). The Spatial-Temporal Ordering of Amyloid Pathology and Opportunities for PET Imaging. Journal of Nuclear Medicine. 61(2). 166–171. 31 indexed citations
16.
Battle, Mark, Val J. Lowe, David S. Knopman, et al.. (2018). Centiloid scaling for quantification of brain amyloid with [18F]flutemetamol using multiple processing methods. EJNMMI Research. 8(1). 107–107. 70 indexed citations
17.
Thal, Dietmar Rudolf, Thomas G. Beach, Michelle Zanette, et al.. (2018). Estimation of amyloid distribution by [18F]flutemetamol PET predicts the neuropathological phase of amyloid β-protein deposition. Acta Neuropathologica. 136(4). 557–567. 38 indexed citations
18.
Buckley, Christopher, et al.. (2016). Validation of an electronic image reader training programme for interpretation of [18F]flutemetamol β-amyloid PET brain images. Nuclear Medicine Communications. 38(3). 234–241. 50 indexed citations
19.
Thurfjell, Lennart, Johan Lilja, Roger Lundqvist, et al.. (2014). Automated Quantification of 18F-Flutemetamol PET Activity for Categorizing Scans as Negative or Positive for Brain Amyloid: Concordance with Visual Image Reads. Journal of Nuclear Medicine. 55(10). 1623–1628. 166 indexed citations
20.
Vandenberghe, Rik, Koen Van Laere, Adrian Ivanoiu, et al.. (2010). 18F‐flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: A phase 2 trial. Annals of Neurology. 68(3). 319–329. 506 indexed citations breakdown →

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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