Jane E. Mackewn

833 total citations
33 papers, 584 citations indexed

About

Jane E. Mackewn is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Jane E. Mackewn has authored 33 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Radiation and 8 papers in Biomedical Engineering. Recurrent topics in Jane E. Mackewn's work include Medical Imaging Techniques and Applications (30 papers), Advanced MRI Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Jane E. Mackewn is often cited by papers focused on Medical Imaging Techniques and Applications (30 papers), Advanced MRI Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Jane E. Mackewn collaborates with scholars based in United Kingdom, Germany and United States. Jane E. Mackewn's co-authors include Paul Marsden, Charalampos Tsoumpas, Kavitha Sunassee, Tobias Schaeffter, John J. Totman, Steven Williams, Gábor Németh, Gregory Mullen, P. Major and Philip J. Blower and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Jane E. Mackewn

33 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane E. Mackewn United Kingdom 12 432 226 82 77 76 33 584
Negar Omidvari United States 13 505 1.2× 209 0.9× 162 2.0× 71 0.9× 74 1.0× 29 743
Joshua Scheuermann United States 11 541 1.3× 190 0.8× 168 2.0× 69 0.9× 97 1.3× 24 680
Annarita Savi Italy 16 542 1.3× 110 0.5× 127 1.5× 26 0.3× 179 2.4× 48 783
Ivo Rausch Austria 22 976 2.3× 240 1.1× 338 4.1× 53 0.7× 191 2.5× 78 1.2k
Jonathan A. Disselhorst Germany 16 722 1.7× 158 0.7× 194 2.4× 39 0.5× 181 2.4× 27 926
M. Salim Siddiqui United States 13 220 0.5× 238 1.1× 59 0.7× 17 0.2× 150 2.0× 42 500
Cornelia Brendle Germany 20 849 2.0× 78 0.3× 77 0.9× 47 0.6× 162 2.1× 36 1.1k
Lars-Eric Adam United States 8 623 1.4× 276 1.2× 169 2.1× 54 0.7× 240 3.2× 8 792
Brad Kemp United States 18 652 1.5× 115 0.5× 230 2.8× 22 0.3× 136 1.8× 40 933
E. Vanzi Italy 17 241 0.6× 162 0.7× 64 0.8× 25 0.3× 194 2.6× 48 657

Countries citing papers authored by Jane E. Mackewn

Since Specialization
Citations

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

Fields of papers citing papers by Jane E. Mackewn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane E. Mackewn. 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 Jane E. Mackewn. The network helps show where Jane E. Mackewn may publish in the future.

Co-authorship network of co-authors of Jane E. Mackewn

This figure shows the co-authorship network connecting the top 25 collaborators of Jane E. Mackewn. A scholar is included among the top collaborators of Jane E. Mackewn 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 Jane E. Mackewn. Jane E. Mackewn 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.
Dickson, John, et al.. (2023). BNMS UK PET standards. Nuclear Medicine Communications. 45(1). 1–15. 1 indexed citations
2.
Markiewicz, Paweł, Casper da Costa‐Luis, John Dickson, et al.. (2022). Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software. Medical Physics. 49(5). 3298–3313. 1 indexed citations
3.
4.
Mackewn, Jane E., James Stirling, Robert Johnstone, et al.. (2020). Practical issues and limitations of brain attenuation correction on a simultaneous PET-MR scanner. EJNMMI Physics. 7(1). 24–24. 10 indexed citations
5.
Carotenuto, Antonio, Beniamino Giordano, George Dervenoulas, et al.. (2019). [18F]Florbetapir PET/MR imaging to assess demyelination in multiple sclerosis. European Journal of Nuclear Medicine and Molecular Imaging. 47(2). 366–378. 20 indexed citations
6.
Goh, Vicky, Davide Prezzi, Andrew Mallia, et al.. (2016). Positron Emission Tomography/Magnetic Resonance Imaging of Gastrointestinal Cancers. Seminars in Ultrasound CT and MRI. 37(4). 352–357. 3 indexed citations
7.
Bashir, Usman, Andrew Mallia, James Stirling, et al.. (2015). PET/MRI in Oncological Imaging: State of the Art. SHILAP Revista de lepidopterología. 5(3). 333–357. 34 indexed citations
8.
Weissler, Bjoern, Pierre Gebhardt, Christoph Lerche, et al.. (2014). MR compatibility aspects of a silicon photomultiplier-based PET/RF insert with integrated digitisation. Physics in Medicine and Biology. 59(17). 5119–5139. 50 indexed citations
9.
Mackewn, Jane E., Christoph Lerche, Kavitha Sunassee, et al.. (2012). PET performance evaluation of a pre-clinical SiPM based MR-compatible PET scanner. Research Portal (King's College London). 50. 2776–2779. 3 indexed citations
10.
Szanda, Istvan, Jane E. Mackewn, Gergely Patay, et al.. (2011). National Electrical Manufacturers Association NU-4 Performance Evaluation of the PET Component of the NanoPET/CT Preclinical PET/CT Scanner. Journal of Nuclear Medicine. 52(11). 1741–1747. 100 indexed citations
11.
Soultanidis, Georgios, Jane E. Mackewn, Christoph Lerche, et al.. (2011). Design and development of phantoms capable of continuous motion during simultaneous PET-MR acquisitions. 3567–3571. 2 indexed citations
12.
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
13.
Tsoumpas, Charalampos, Jane E. Mackewn, Andrew P. King, et al.. (2010). Simultaneous PET–MR acquisition and MR-derived motion fields for correction of non-rigid motion in PET. Annals of Nuclear Medicine. 24(10). 745–750. 52 indexed citations
14.
Mackewn, Jane E., Geoff Charles‐Edwards, Richard A. Page, et al.. (2010). Performance Evaluation of an MRI-Compatible Pre-Clinical PET System Using Long Optical Fibers. IEEE Transactions on Nuclear Science. 57(3). 1052–1062. 24 indexed citations
15.
Mackewn, Jane E., Geoff Charles‐Edwards, John J. Totman, et al.. (2009). IEEE Nuclear Science Symposium Conference Record. 5 indexed citations
16.
Tsoumpas, Charalampos, Jane E. Mackewn, Andrew P. King, et al.. (2009). PET motion correction using simultaneous PET-MR acquisition and MR-derived motion fields. Research Portal (King's College London). 50(3-4). 532–6. 2 indexed citations
17.
Mackewn, Jane E., D. Strul, Geoff Charles‐Edwards, et al.. (2008). Performance Evaluation and MR Compatibility Assessment of an Optical Fibre Based Pre-Clinical MR-Compatible PET Scanner. 4662–4666. 7 indexed citations
18.
19.
Mackewn, Jane E., P.J. Schleyer, & Paul Marsden. (2006). An interpolation method for reconstruction of data from multilayer PET systems. Research Portal (King's College London). 27(3). 302–302. 1 indexed citations
20.
Mackewn, Jane E., D. Strul, William Hallett, et al.. (2005). Design and development of an MR-compatible PET scanner for imaging small animals. IEEE Transactions on Nuclear Science. 52(5). 1376–1380. 53 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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