C. J. Buckley

537 total citations
20 papers, 345 citations indexed

About

C. J. Buckley is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Structural Biology. According to data from OpenAlex, C. J. Buckley has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Radiation and 4 papers in Structural Biology. Recurrent topics in C. J. Buckley's work include Advanced X-ray Imaging Techniques (8 papers), Medical Imaging Techniques and Applications (5 papers) and X-ray Spectroscopy and Fluorescence Analysis (4 papers). C. J. Buckley is often cited by papers focused on Advanced X-ray Imaging Techniques (8 papers), Medical Imaging Techniques and Applications (5 papers) and X-ray Spectroscopy and Fluorescence Analysis (4 papers). C. J. Buckley collaborates with scholars based in United Kingdom, United States and Spain. C. J. Buckley's co-authors include Chris Jacobsen, Janos Kirz, Shawn P. Williams, Xiaodong Zhang, Mark L. Rivers, D. P. Kern, Michael Browne, Erik Anderson, A. G. Michette and Pauline M. Bennett and has published in prestigious journals such as Neurology, Neurobiology of Aging and Bone.

In The Last Decade

C. J. Buckley

18 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. J. Buckley United Kingdom 8 184 86 49 45 36 20 345
Kevin Mäder Switzerland 10 133 0.7× 44 0.5× 72 1.5× 91 2.0× 60 1.7× 21 369
Flynn United States 6 92 0.5× 32 0.4× 63 1.3× 37 0.8× 5 0.1× 24 400
Jean Susini France 8 127 0.7× 14 0.2× 83 1.7× 82 1.8× 16 0.4× 11 379
Y. Kikuchi Japan 13 281 1.5× 23 0.3× 125 2.6× 93 2.1× 93 2.6× 74 526
Jennifer L. Mass United States 17 179 1.0× 5 0.1× 88 1.8× 49 1.1× 16 0.4× 42 748
J. A. Small United States 8 138 0.8× 10 0.1× 120 2.4× 98 2.2× 11 0.3× 16 321
Cyril Guilloud France 6 118 0.6× 53 0.6× 116 2.4× 72 1.6× 21 0.6× 7 318
Y. Dabin France 8 113 0.6× 45 0.5× 163 3.3× 80 1.8× 24 0.7× 16 435
R Castaing France 9 172 0.9× 18 0.2× 87 1.8× 90 2.0× 13 0.4× 44 485
Sylvain Labouré France 9 186 1.0× 66 0.8× 168 3.4× 113 2.5× 30 0.8× 15 506

Countries citing papers authored by C. J. Buckley

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. J. Buckley

This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Buckley. A scholar is included among the top collaborators of C. J. 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 C. J. Buckley. C. J. 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.
Killekar, Aditya, et al.. (2025). Dynamic frame-by-frame motion correction for 18F-flurpiridaz PET-MPI using convolution neural network. European Journal of Nuclear Medicine and Molecular Imaging. 53(4). 2708–2720.
2.
López, Diana, Daniel Huck, Sanjay Divakaran, et al.. (2025). Utility of 18 F-Flurpiridaz PET Relative Flow Reserve in Differentiating Obstructive From Nonobstructive Coronary Artery Disease. Circulation Cardiovascular Imaging. 18(11). e018323–e018323.
3.
Shanbhag, Aakash, Robert J.H. Miller, Mark A. Lemley, et al.. (2025). General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI. JACC. Cardiovascular imaging. 18(11). 1235–1246. 1 indexed citations
4.
Thal, Dietmar Rudolf, Thomas G. Beach, Marcus V. Zanetti, et al.. (2014). Diagnostic value of [18F]flutemetamol amyloid PET: comparison between imaging and neuropathology. Neurobiology of Aging. 35. S22–S22. 1 indexed citations
5.
Walker, Zuzana, Fiona M. Inglis, Carl Sadowsky, et al.. (2013). Reproducibility of [18f]flutemetamol pet amyloid image interpretation. Journal of the Neurological Sciences. 333. e352–e352. 2 indexed citations
6.
Leinonen, Ville, Juha O. Rinne, Kirsi A. Virtanen, et al.. (2013). Positron emission tomography with [18F]flutemetamol and [11C]PiB for in vivo detection of cerebral cortical amyloid in normal pressure hydrocephalus patients. European Journal of Neurology. 20(7). 1043–1052. 28 indexed citations
7.
Wolk, David A., Juha O. Rinne, Dean F. Wong, et al.. (2012). [18F]-Flutemetamol PET Amyloid Imaging and Cortical Biopsy Histopathology in Normal Pressure Hydrocephalus: Pooled Analysis of Four Studies (S34.001). Neurology. 78(Meeting Abstracts 1). S34.001–S34.001. 1 indexed citations
9.
Winn, Barry, Harald Ade, C. J. Buckley, et al.. (2000). Illumination for coherent soft X-ray applications: the new X1A beamline at the NSLS. Journal of Synchrotron Radiation. 7(6). 395–404. 31 indexed citations
10.
Whitton, R. Chris, Rachel C. Murray, C. J. Buckley, Allen E. Goodship, & Pierre Lekeux. (1999). An MRI study of the effect of treadmill training on bone morphology of the central and third tarsal bones of young Thoroughbred horses. Equine Veterinary Journal. 31(S30). 258–261. 11 indexed citations
11.
Michette, A. G., C. J. Buckley, & Sławka J. Pfauntsch. (1997). Phase modulating zone plates for X-rays of energy 1–8 keV. Optics Communications. 141(3-4). 118–122. 1 indexed citations
12.
Pfauntsch, Sławka J., A. G. Michette, & C. J. Buckley. (1996). Toroidal condenser optics for dark-field X-ray microscopy. Optics Communications. 124(1-2). 141–149. 1 indexed citations
13.
Buckley, C. J.. (1995). The measuring and mapping of calcium in mineralized tissues by absorption difference imaging. Review of Scientific Instruments. 66(2). 1318–1321. 12 indexed citations
14.
Kirz, Janos, Harald Ade, Eric H. Anderson, et al.. (1994). New results in soft X-ray microscopy. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 87(1-4). 92–97. 14 indexed citations
15.
Bennett, Pauline M., et al.. (1993). The effect of soft X‐radiation on myofibrils. Journal of Microscopy. 172(2). 109–119. 19 indexed citations
16.
Michette, A. G., G. R. Morrison, & C. J. Buckley. (1992). X-ray microscopy III : proceedings of the third international conference, London, September 3-7, 1990. Medical Entomology and Zoology. 1 indexed citations
17.
Buckley, C. J.. (1992). Imaging of calcium deposits in cartilage by scanning X-ray microscopy. Bone. 13(1). 100–100. 2 indexed citations
18.
Jacobsen, Chris, Shawn P. Williams, Erik Anderson, et al.. (1991). Diffraction-limited imaging in a scanning transmission x-ray microscope. Optics Communications. 86(3-4). 351–364. 182 indexed citations
19.
Buckley, C. J., G. R. Morrison, A. G. Michette, et al.. (1991). Recent advances in scanning x‐ray microscopy. Scanning. 13(1). 7–10. 7 indexed citations
20.
Burge, R. E., Michael Browne, C. J. Buckley, et al.. (1986). King's College London/SERC Daresbury Scanning X-ray Microscope. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 733. 416–416. 1 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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