Jonathan Bishop

2.3k total citations
30 papers, 1.8k citations indexed

About

Jonathan Bishop is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jonathan Bishop has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Jonathan Bishop's work include Advanced MRI Techniques and Applications (12 papers), Ultrasound Imaging and Elastography (8 papers) and Elasticity and Material Modeling (5 papers). Jonathan Bishop is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), Ultrasound Imaging and Elastography (8 papers) and Elasticity and Material Modeling (5 papers). Jonathan Bishop collaborates with scholars based in Canada, United States and China. Jonathan Bishop's co-authors include Donald B. Plewes, Abbas Samani, R. Mark Henkelman, C. Luginbuhl, Don B. Plewes, Martin J. Yaffe, Alan C. Evans, Nataša Žunić Kovačević, Elaine Chan and Peter Hardy and has published in prestigious journals such as Hypertension, Cerebral Cortex and Magnetic Resonance in Medicine.

In The Last Decade

Jonathan Bishop

29 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Bishop Canada 17 1.1k 678 222 166 140 30 1.8k
Sebastian Papazoglou Germany 20 1.4k 1.3× 1.3k 1.9× 288 1.3× 73 0.4× 64 0.5× 35 2.1k
Georg Schmitz Germany 26 1.5k 1.4× 2.0k 2.9× 411 1.9× 120 0.7× 78 0.6× 179 2.7k
Yuan‐Chuan Tai United States 34 2.1k 1.9× 1.2k 1.8× 60 0.3× 302 1.8× 99 0.7× 157 4.1k
Soo Yeol Lee South Korea 26 869 0.8× 978 1.4× 189 0.9× 117 0.7× 106 0.8× 102 2.0k
Charlie Demené France 24 1.8k 1.6× 1.8k 2.6× 322 1.5× 86 0.5× 108 0.8× 42 2.7k
Jeffrey J. L. Carson Canada 20 438 0.4× 811 1.2× 138 0.6× 161 1.0× 77 0.6× 114 1.4k
Émilie Macé France 19 1.2k 1.1× 1.2k 1.8× 268 1.2× 447 2.7× 93 0.7× 29 2.4k
Weibao Qiu China 26 887 0.8× 1.9k 2.8× 382 1.7× 228 1.4× 112 0.8× 118 2.6k
Jin U. Kang United States 34 1.1k 1.0× 2.1k 3.1× 156 0.7× 141 0.8× 229 1.6× 220 3.9k
Nobuyuki Shiraga Japan 15 635 0.6× 244 0.4× 68 0.3× 99 0.6× 205 1.5× 46 1.7k

Countries citing papers authored by Jonathan Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Bishop

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Bishop. A scholar is included among the top collaborators of Jonathan Bishop 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 Jonathan Bishop. Jonathan Bishop 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.
Bishop, Jonathan, et al.. (2021). Prevasculitic Eosinophilic Granulomatosis With Polyangiitis. Cureus. 13(4). e14649–e14649.
2.
Cahill, Lindsay S., Jonathan Bishop, Lisa M. Gazdzinski, et al.. (2017). Altered cerebral blood flow and cerebrovascular function after voluntary exercise in adult mice. Brain Structure and Function. 222(8). 3395–3405. 9 indexed citations
3.
Heyn, Chris, Jonathan Bishop, Wayne Lee, et al.. (2017). Magnetic resonance thermometry of flowing blood. NMR in Biomedicine. 30(11). 6 indexed citations
4.
Chugh, Brige, Jonathan Bishop, Yuqing Zhou, et al.. (2011). Robust method for 3D arterial spin labeling in mice. Magnetic Resonance in Medicine. 68(1). 98–106. 14 indexed citations
5.
Bishop, Jonathan, et al.. (2008). Oxygen‐enhanced MR imaging of mice lungs. Magnetic Resonance in Medicine. 59(6). 1412–1421. 9 indexed citations
6.
Nieman, Brian J., Jonathan Bishop, Jun Dazai, et al.. (2007). MR technology for biological studies in mice. NMR in Biomedicine. 20(3). 291–303. 32 indexed citations
7.
Feintuch, Akiva, Yonghong Zhu, Jonathan Bishop, et al.. (2007). 4D cardiac MRI in the mouse. NMR in Biomedicine. 20(3). 360–365. 24 indexed citations
8.
Zhou, Yuqing, Yonghong Zhu, Jonathan Bishop, et al.. (2005). Abnormal cardiac inflow patterns during postnatal development in a mouse model of Holt-Oram syndrome. American Journal of Physiology-Heart and Circulatory Physiology. 289(3). H992–H1001. 42 indexed citations
9.
Kovačević, Nataša Žunić, et al.. (2004). A Three-dimensional MRI Atlas of the Mouse Brain with Estimates of the Average and Variability. Cerebral Cortex. 15(5). 639–645. 278 indexed citations
10.
Samani, Abbas, Jonathan Bishop, C. Luginbuhl, & Donald B. Plewes. (2003). Measuring the elastic modulus ofex vivosmall tissue samples. Physics in Medicine and Biology. 48(14). 2183–2198. 235 indexed citations
11.
Samani, Abbas, Jonathan Bishop, & Donald B. Plewes. (2001). A constrained modulus reconstruction technique for breast cancer assessment. IEEE Transactions on Medical Imaging. 20(9). 877–885. 76 indexed citations
12.
Samani, Abbas, et al.. (2001). MR validation of soft tissue mimicing phantom deformation as modeled by nonlinear finite element analysis. Medical Physics. 29(1). 65–72. 7 indexed citations
13.
Plewes, Donald B., et al.. (2000). Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography. Physics in Medicine and Biology. 45(6). 1591–1610. 254 indexed citations
14.
Bishop, Jonathan, et al.. (2000). Two-dimensional MR elastography with linear inversion reconstruction: methodology and noise analysis. Physics in Medicine and Biology. 45(8). 2081–2091. 61 indexed citations
15.
Bishop, Jonathan, Giles Santyr, Frederick Kelcz, & Donald B. Plewes. (1997). Limitations of the keyhole technique for quantitative dynamic contrast‐enhanced breast MRI. Journal of Magnetic Resonance Imaging. 7(4). 716–723. 38 indexed citations
16.
Plewes, Donald B., et al.. (1995). Errors in quantitative dynamic three‐dimensional keyhole MR imaging of the breast. Journal of Magnetic Resonance Imaging. 5(3). 361–364. 16 indexed citations
17.
Bishop, Jonathan, R. Mark Henkelman, & Donald B. Plewes. (1994). Dynamic spin‐echo imaging: Theoretical assessment and implementation. Journal of Magnetic Resonance Imaging. 4(6). 843–852. 5 indexed citations
18.
Kucharczyk, Walter, Jonathan Bishop, Donald B. Plewes, Marc Keller, & Susan R. George. (1994). Detection of pituitary microadenomas: comparison of dynamic keyhole fast spin-echo, unenhanced, and conventional contrast-enhanced MR imaging.. American Journal of Roentgenology. 163(3). 671–679. 54 indexed citations
19.
Hardy, Peter, et al.. (1992). Why fat is bright in rare and fast spin‐echo imaging. Journal of Magnetic Resonance Imaging. 2(5). 533–540. 166 indexed citations
20.
Bishop, Jonathan & Donald B. Plewes. (1991). TE interleaving: New multisection imaging technique. Journal of Magnetic Resonance Imaging. 1(5). 531–538. 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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