Kenneth C. Young

10.0k total citations
207 papers, 4.2k citations indexed

About

Kenneth C. Young is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Kenneth C. Young has authored 207 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Pulmonary and Respiratory Medicine, 95 papers in Radiology, Nuclear Medicine and Imaging and 65 papers in Artificial Intelligence. Recurrent topics in Kenneth C. Young's work include Digital Radiography and Breast Imaging (99 papers), Medical Imaging Techniques and Applications (64 papers) and AI in cancer detection (63 papers). Kenneth C. Young is often cited by papers focused on Digital Radiography and Breast Imaging (99 papers), Medical Imaging Techniques and Applications (64 papers) and AI in cancer detection (63 papers). Kenneth C. Young collaborates with scholars based in United Kingdom, United States and Netherlands. Kenneth C. Young's co-authors include David R. Dance, Ruben E. van Engen, Jeremy Beckett, C J Kotre, Alistair Mackenzie, Hilde Bosmans, Jennifer M. Oduko, Kevin Wells, Julie Cooke and Lucy M. Warren and has published in prestigious journals such as Science, Journal of Climate and Radiology.

In The Last Decade

Kenneth C. Young

197 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth C. Young United Kingdom	34	2.4k	2.2k	1.3k	755	584	207	4.2k
Jay A. Baker United States	39	1.2k 0.5×	2.2k 1.0×	2.2k 1.6×	493 0.7×	786 1.3×	117	5.0k
Wenqi Li China	23	374 0.2×	1.9k 0.9×	1.9k 1.4×	715 0.9×	248 0.4×	65	5.2k
R. Bellotti Italy	33	372 0.2×	930 0.4×	809 0.6×	361 0.5×	94 0.2×	239	3.9k
Anne L. Martel Canada	30	717 0.3×	1.9k 0.9×	1.4k 1.0×	481 0.6×	227 0.4×	132	4.0k
François Bochud Switzerland	39	4.0k 1.7×	3.4k 1.6×	351 0.3×	1.5k 2.0×	102 0.2×	250	7.0k
Karen Drukker United States	31	683 0.3×	2.4k 1.1×	1.6k 1.2×	458 0.6×	336 0.6×	103	3.9k
Finbarr O’Sullivan United States	31	440 0.2×	1.5k 0.7×	367 0.3×	221 0.3×	296 0.5×	105	3.7k
William H. Moore United States	26	927 0.4×	974 0.5×	154 0.1×	613 0.8×	164 0.3×	144	2.6k
Simon Doran United Kingdom	29	1.4k 0.6×	2.6k 1.2×	216 0.2×	734 1.0×	230 0.4×	115	3.8k

Countries citing papers authored by Kenneth C. Young

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth C. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth C. Young

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

All Works

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20 of 20 papers shown

Ellis, Sam, Matthew Trumble, Mark Halling‐Brown, et al.. (2024). Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology Artificial Intelligence. 6(4). e230431–e230431. 4 indexed citations

Young, Kenneth C., et al.. (2022). Radiation doses in the United Kingdom breast screening programmes 2016–2019. British Journal of Radiology. 95(1135). 20211400–20211400. 10 indexed citations

Burnside, Elizabeth S., Lucy M. Warren, Jonathan P. Myles, et al.. (2021). Quantitative breast density analysis to predict interval and node-positive cancers in pursuit of improved screening protocols: a case–control study. British Journal of Cancer. 125(6). 884–892. 6 indexed citations

Xu, San San, Vincent Doré, Rachel S. Mulligan, et al.. (2018). Diagnostic accuracy of imaging brain vesicular monoamine transporter type 2 (VMAT2) in clinically uncertain parkinsonian syndrome (CUPS): a 3-year follow-up study in community patients. BMJ Open. 8(11). e025533–e025533. 9 indexed citations

Elangovan, Premkumar, Alistair Mackenzie, David R. Dance, Kenneth C. Young, & Kevin Wells. (2018). Lesion detectability in 2D-mammography and digital breast tomosynthesis using different targets and observers. Physics in Medicine and Biology. 63(9). 95014–95014. 12 indexed citations

Elangovan, Premkumar, et al.. (2018). The threshold detectable mass diameter for 2D-mammography and digital breast tomosynthesis. Physica Medica. 57. 25–32. 20 indexed citations

Elangovan, Premkumar, Alistair Mackenzie, David R. Dance, et al.. (2017). Design and validation of realistic breast models for use in multiple alternative forced choice virtual clinical trials. Physics in Medicine and Biology. 62(7). 2778–2794. 33 indexed citations

Bouwman, Ramona W., Ruben E. van Engen, Mireille J. M. Broeders, et al.. (2016). Can the channelized Hotelling observer including aspects of the human visual system predict human observer performance in mammography?. Physica Medica. 33. 95–105. 11 indexed citations

Bouwman, Ramona W., Ruben E. van Engen, Mireille J. M. Broeders, et al.. (2016). Can the non-pre-whitening model observer, including aspects of the human visual system, predict human observer performance in mammography?. Physica Medica. 32(12). 1559–1569. 15 indexed citations

10.

Young, Kenneth C. & Jennifer M. Oduko. (2015). Radiation doses received in the United Kingdom breast screening programme in 2010 to 2012. British Journal of Radiology. 89(1058). 20150831–20150831. 33 indexed citations

11.

Halling‐Brown, Mark, et al.. (2014). The oncology medical image database (OMI-DB). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9039. 903906–903906. 14 indexed citations

12.

Fredenberg, Erik, et al.. (2013). Measurement of breast-tissue x-ray attenuation by spectral mammography: first results on cyst fluid. Physics in Medicine and Biology. 58(24). 8609–8620. 19 indexed citations

13.

Villemagne, Victor L., Rachel S. Mulligan, Svetlana Pejoska, et al.. (2012). Comparison of 11C-PiB and 18F-florbetaben for Aβ imaging in ageing and Alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 39(6). 983–989. 149 indexed citations

14.

Mackenzie, Alistair, et al.. (2012). Conversion of mammographic images to appear with the noise and sharpness characteristics of a different detector and x‐ray system. Medical Physics. 39(5). 2721–2734. 45 indexed citations

15.

J, Law, K. Faulkner, & Kenneth C. Young. (2007). Risk factors for induction of breast cancer by X-rays and their implications for breast screening. British Journal of Radiology. 80(952). 261–266. 27 indexed citations

16.

Young, Kenneth C., Jennifer M. Oduko, Hilde Bosmans, K. Nijs, & Luis Carlos Martínez. (2006). Optimal beam quality selection in digital mammography. British Journal of Radiology. 79(948). 981–990. 43 indexed citations

17.

Young, Kenneth C., et al.. (2004). Ad hoc mobility protocol suite for the mosaic ATD. 2. 1348–1352. 8 indexed citations

18.

Young, Kenneth C., et al.. (2000). Radiation doses received in the UK Breast Screening Programme in 1997 and 1998.. British Journal of Radiology. 73(867). 278–287. 67 indexed citations

19.

Young, Kenneth C., et al.. (1999). Analysis of optical density and contrast in mammograms.. British Journal of Radiology. 72(859). 670–677. 9 indexed citations

20.

Harrower, A. D. B., et al.. (1981). Sensitivity of cold stimulation compared to exercise stress in detecting cardiac dys function in diabetics. Diabetologia. 21(3). 279–280. 3 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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