J. Yorkston

3.3k total citations
95 papers, 2.5k citations indexed

About

J. Yorkston is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. Yorkston has authored 95 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 56 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. Yorkston's work include Advanced X-ray and CT Imaging (57 papers), Medical Imaging Techniques and Applications (40 papers) and Radiation Dose and Imaging (33 papers). J. Yorkston is often cited by papers focused on Advanced X-ray and CT Imaging (57 papers), Medical Imaging Techniques and Applications (40 papers) and Radiation Dose and Imaging (33 papers). J. Yorkston collaborates with scholars based in United States, Canada and United Kingdom. J. Yorkston's co-authors include Larry E. Antonuk, Jeffrey H. Siewerdsen, J. H. Siewerdsen, J. Boudry, Wei Huang, Youcef El‐Mohri, Wojciech Zbijewski, R. A. Street, J. Webster Stayman and Ian A. Cunningham and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

J. Yorkston

94 papers receiving 2.5k citations

Peers

J. Yorkston

RNMI

PRM

RADIA

EEE

James T. Dobbins United States

J. H. Siewerdsen United States

Gudrun Alm Carlsson Sweden

Daniela Pfeiffer Germany

Markus Stock Austria

D Mihailidis United States

J. Anthony Seibert United States

Herbert Bruder Germany

S. Kappler Germany

Edwin M. Leidholdt United States

James T. Dobbins United States

J. Yorkston

2.9k ×2.1

RNMI

2.2k ×1.6

2.6k ×2.8

PRM

517 ×0.6

RADIA

136 ×0.3

EEE

Citations per year, relative to J. Yorkston J. Yorkston (= 1×) peers James T. Dobbins

Countries citing papers authored by J. Yorkston

Since Specialization

Citations

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

Fields of papers citing papers by J. Yorkston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Yorkston

This figure shows the co-authorship network connecting the top 25 collaborators of J. Yorkston. A scholar is included among the top collaborators of J. Yorkston 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 J. Yorkston. J. Yorkston 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

Yorkston, J., Ryan Breighner, Wojciech Zbijewski, et al.. (2019). Quantitative evaluation of bone microstructure using high-resolution extremity cone-beam CT with a CMOS detector. PubMed. 10953. 41–41. 5 indexed citations

Cao, Qian, et al.. (2019). Quantitative cone-beam CT of bone mineral density using model-based reconstruction. PubMed. 10948. 33–33. 6 indexed citations

Cao, Qian, Michael Brehler, Alejandro Sisniega, et al.. (2018). High-resolution extremity cone-beam CT with a CMOS detector: evaluation of a clinical prototype in quantitative assessment of bone microarchitecture. PubMed. 10132. 26–26. 2 indexed citations

Brehler, Michael, Qian Cao, Kendall F. Moseley, et al.. (2018). Robust quantitative assessment of trabecular microarchitecture in extremity cone-beam CT using optimized segmentation algorithms. PubMed. 11. 54–54. 4 indexed citations

Zbijewski, Wojciech, et al.. (2016). Multiresolution iterative reconstruction in high-resolution extremity cone-beam CT. Physics in Medicine and Biology. 61(20). 7263–7281. 23 indexed citations

Sisniega, Alejandro, J. Webster Stayman, Qian Cao, et al.. (2016). Image-based motion compensation for high-resolution extremities cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 97830K–97830K. 13 indexed citations

Jones, A. Kyle, Philip H. Heintz, William R. Geiser, et al.. (2015). Ongoing quality control in digital radiography: Report of AAPM Imaging Physics Committee Task Group 151. Medical Physics. 42(11). 6658–6670. 57 indexed citations

Demehri, Shadpour, Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2015). Assessment of image quality in soft tissue and bone visualization tasks for a dedicated extremity cone-beam CT system. European Radiology. 25(6). 1742–1751. 73 indexed citations

Sisniega, Alejandro, Wojciech Zbijewski, Jingyan Xu, et al.. (2015). High-fidelity artifact correction for cone-beam CT imaging of the brain. Physics in Medicine and Biology. 60(4). 1415–1439. 71 indexed citations

10.

Carrino, John A., Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2013). Dedicated Cone-Beam CT System for Extremity Imaging. Radiology. 270(3). 816–824. 180 indexed citations

11.

Dave, Jaydev K., Eric L. Gingold, J. Yorkston, et al.. (2012). SU‐E‐I‐101: Initial Implementation and Evaluation of AAPM TG‐150 Draft Image Receptor Non‐Uniformity Testing Recommendations. Medical Physics. 39(6Part5). 3648–3648. 1 indexed citations

12.

Muhit, Abdullah Al, Wojciech Zbijewski, J. Webster Stayman, et al.. (2012). WE‐G‐217BCD‐04: Diagnostic Image Quality Evaluation of a Dedicated Extremity Cone‐ Beam CT Scanner: Pre‐Clinical Studies and First Clinical Results. Medical Physics. 39(6Part28). 3973–3973. 2 indexed citations

13.

Prakash, Punit, Wojciech Zbijewski, Grace J. Gang, et al.. (2011). Task-based modeling and optimization of a cone-beam CT scanner for musculoskeletal imaging. Medical Physics. 38(10). 5612–5629. 41 indexed citations

14.

Yorkston, J., et al.. (2009). Development of a High-performance Dual-energy Chest Imaging System. Academic Radiology. 16(4). 464–476. 8 indexed citations

15.

Paul, Narinder, et al.. (2009). Diagnostic Performance of a Prototype Dual-Energy Chest Imaging System. Academic Radiology. 17(3). 298–308. 23 indexed citations

16.

Siewerdsen, J. H., Amar Dhanantwari, D. B. Williams, et al.. (2008). Cardiac gating with a pulse oximeter for dual-energy imaging. Physics in Medicine and Biology. 53(21). 6097–6112. 11 indexed citations

17.

Williams, D. B., J. H. Siewerdsen, Daniel J. Tward, et al.. (2007). Optimal kVp selection for dual‐energy imaging of the chest: Evaluation by task‐specific observer preference tests. Medical Physics. 34(10). 3916–3925. 14 indexed citations

18.

El‐Mohri, Youcef, Larry E. Antonuk, J. Yorkston, et al.. (1999). Relative dosimetry using active matrix flat-panel imager (AMFPI) technology. Medical Physics. 26(8). 1530–1541. 91 indexed citations

19.

Siewerdsen, J. H., Larry E. Antonuk, Youcef El‐Mohri, et al.. (1998). Signal, noise power spectrum, and detective quantum efficiency of indirect-detection flat-panel imagers for diagnostic radiology. Medical Physics. 25(5). 614–628. 188 indexed citations

20.

Antonuk, Larry E., J. Boudry, Weidong Huang, et al.. (1992). Demonstration of megavoltage and diagnostic x‐ray imaging with hydrogenated amorphous silicon arrays. Medical Physics. 19(6). 1455–1466. 160 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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