Paul Schleyer

792 total citations
28 papers, 530 citations indexed

About

Paul Schleyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pathology and Forensic Medicine. According to data from OpenAlex, Paul Schleyer has authored 28 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Radiation and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Paul Schleyer's work include Medical Imaging Techniques and Applications (27 papers), Advanced MRI Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Paul Schleyer is often cited by papers focused on Medical Imaging Techniques and Applications (27 papers), Advanced MRI Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Paul Schleyer collaborates with scholars based in United Kingdom, United States and Finland. Paul Schleyer's co-authors include Paul Marsden, Sally F. Barrington, Michael O’Doherty, Amedeo Chiribiri, Tobias Schaeffter, Charalampos Tsoumpas, Shazia Hussain, Geraint Morton, Masaki Ishida and Erik Hedström and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Journal of Organic Chemistry.

In The Last Decade

Paul Schleyer

27 papers receiving 524 citations

Peers

Paul Schleyer
Erwann Rault France
Celia O’Meara United Kingdom
Allen R. Goode United States
Ludovic Le Meunier United States
J A Patton United States
Konstantinos Zeimpekis Switzerland
Albert Lonn United States
A. H. R. Lonn United States
Jens Langner Germany
Laura G. Merckel Netherlands
Erwann Rault France
Paul Schleyer
Citations per year, relative to Paul Schleyer Paul Schleyer (= 1×) peers Erwann Rault

Countries citing papers authored by Paul Schleyer

Since Specialization
Citations

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

Fields of papers citing papers by Paul Schleyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Schleyer

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Schleyer. A scholar is included among the top collaborators of Paul Schleyer 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 Paul Schleyer. Paul Schleyer 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.
Andersen, Thomas Lund, Anders Rodell, Jorge Cabello, et al.. (2024). Device-Less Data-Driven Cardiac and Respiratory Gating Using LAFOV PET Histo Images. Diagnostics. 14(18). 2055–2055. 1 indexed citations
2.
Dias, André H., Joshua Schaefferkoetter, J. Madsen, et al.. (2024). Validation and clinical impact of motion-free PET imaging using data-driven respiratory gating and elastic PET-CT registration. European Journal of Nuclear Medicine and Molecular Imaging. 52(5). 1924–1936. 1 indexed citations
3.
Dias, André H., Paul Schleyer, Mikkel Holm Vendelbo, et al.. (2022). Clinical feasibility and impact of data-driven respiratory motion compensation studied in 200 whole-body 18F-FDG PET/CT scans. EJNMMI Research. 12(1). 16–16. 16 indexed citations
4.
Hamill, James, et al.. (2020). Data-driven respiratory gating of both PET and CT. 61. 1475–1475. 2 indexed citations
5.
Büther, Florian, J.P. Jones, Robert Seifert, et al.. (2020). Clinical Evaluation of a Data-Driven Respiratory Gating Algorithm for Whole-Body PET with Continuous Bed Motion. Journal of Nuclear Medicine. 61(10). 1520–1527. 35 indexed citations
6.
Büther, Florian, J.P. Jones, Robert Seifert, et al.. (2020). Clinical evaluation of a data-driven gating algorithm for whole-body PET/CT scans in continuous bed mode. Nuklearmedizin - NuclearMedicine. 1 indexed citations
7.
O’Doherty, Jim, et al.. (2017). The effect of high count rates on cardiac perfusion quantification in a simultaneous PET-MR system using a cardiac perfusion phantom. EJNMMI Physics. 4(1). 31–31. 10 indexed citations
8.
9.
O’Doherty, Jim, Eva Sammut, Paul Schleyer, et al.. (2017). Feasibility of simultaneous PET-MR perfusion using a novel cardiac perfusion phantom. SHILAP Revista de lepidopterología. 1(1). 4–4. 10 indexed citations
10.
Thielemans, Kris, Paul Schleyer, Paul Marsden, et al.. (2014). Data-driven dual-gating for cardiac PET. 5 indexed citations
11.
O’Doherty, Jim, Paul Schleyer, Lucy Pike, & Paul Marsden. (2014). Effect of scanner dead time on kinetic parameters determined from image derived input functions in 13N cardiac PET. 55. 605–605. 6 indexed citations
12.
Aitken, Andrew P., Daniel Giese, Charalampos Tsoumpas, et al.. (2013). Improved UTE-based attenuation correction for cranial PET-MR using dynamic magnetic field monitoring. Medical Physics. 41(1). 12302–12302. 35 indexed citations
13.
Thielemans, Kris, Paul Schleyer, Paul Marsden, et al.. (2013). Comparison of different methods for data-driven respiratory gating of PET data. Research Portal (King's College London). 1–4. 23 indexed citations
14.
Morton, Geraint, Amedeo Chiribiri, Masaki Ishida, et al.. (2012). Quantification of Absolute Myocardial Perfusion in Patients With Coronary Artery Disease. Journal of the American College of Cardiology. 60(16). 1546–1555. 175 indexed citations
15.
Buerger, Christian, Charalampos Tsoumpas, Andrew P. Aitken, et al.. (2012). Investigation of MR-Based Attenuation Correction and Motion Compensation for Hybrid PET/MR. IEEE Transactions on Nuclear Science. 59(5). 1967–1976. 28 indexed citations
16.
Tsoumpas, Charalampos, Christian Buerger, Andrew P. King, et al.. (2011). Fast generation of 4D PET-MR data from real dynamic MR acquisitions. Physics in Medicine and Biology. 56(20). 6597–6613. 64 indexed citations
17.
Barrington, Sally F., Jane E. Mackewn, Paul Schleyer, et al.. (2010). Establishment of a UK-wide network to facilitate the acquisition of quality assured FDG–PET data for clinical trials in lymphoma. Annals of Oncology. 22(3). 739–745. 50 indexed citations
18.
Barrington, Sally F., Joanna Begent, Thomas B. Lynch, et al.. (2008). Guidelines for the use of PET–CT in children. Nuclear Medicine Communications. 29(5). 418–424. 20 indexed citations
19.
Barrington, Sally F., Michael O’Doherty, Jane E. Mackewn, et al.. (2007). Organisation of national central review of FDG-PET imaging in a UK randomised trial in early stage Hodgkin lymphoma. Research Portal (King's College London). 92(5). 72–72. 1 indexed citations
20.
Kent, Grace H., Stephanie A. Godleski, Eiji Ōsawa, & Paul Schleyer. (1979). Syntheses and Relative Stability of (D3)-Trishomocubane (Pentacyclo[6.3.02,6.03,10.05,9]undecane), the Pentacycloundecane Stabilomer. The Journal of Organic Chemistry. 44(21). 3739–3739. 9 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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