Sharon Portnoy

1.1k total citations
28 papers, 820 citations indexed

About

Sharon Portnoy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Sharon Portnoy has authored 28 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pediatrics, Perinatology and Child Health and 7 papers in Epidemiology. Recurrent topics in Sharon Portnoy's work include Advanced MRI Techniques and Applications (11 papers), Congenital Heart Disease Studies (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Sharon Portnoy is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Congenital Heart Disease Studies (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Sharon Portnoy collaborates with scholars based in Canada, United States and Australia. Sharon Portnoy's co-authors include Greg J. Stanisz, John G. Sled, Christopher K. Macgowan, Mike Seed, Armin Eilaghi, Inka Tertinegg, Richard Norman, John‏ Kingdom, C. Ross Ethier and Sophie Rausch and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Sharon Portnoy

26 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon Portnoy Canada 16 437 311 200 157 148 28 820
Dongfeng Lu United States 13 599 1.4× 132 0.4× 9 0.0× 157 1.0× 51 0.3× 19 974
Jong Sul Han United States 15 160 0.4× 39 0.1× 63 0.3× 73 0.5× 23 0.2× 25 650
Steven Falcone United States 14 100 0.2× 46 0.1× 49 0.2× 115 0.7× 54 0.4× 23 730
L E Hendrix United States 14 189 0.4× 31 0.1× 30 0.1× 120 0.8× 159 1.1× 21 702
Yuriko Suzuki Japan 19 862 2.0× 92 0.3× 33 0.2× 112 0.7× 3 0.0× 68 1.3k
TH Newton United States 15 202 0.5× 38 0.1× 16 0.1× 172 1.1× 18 0.1× 19 815
Bhaskar Gupta United Kingdom 21 707 1.6× 30 0.1× 10 0.1× 121 0.8× 1.1k 7.7× 54 1.4k
J. Damien Grattan‐Smith United States 23 541 1.2× 991 3.2× 49 0.2× 78 0.5× 5 0.0× 45 1.3k
Carolin Reischauer Switzerland 15 548 1.3× 57 0.2× 11 0.1× 33 0.2× 13 0.1× 44 759
W P Dillon United States 14 345 0.8× 99 0.3× 6 0.0× 137 0.9× 14 0.1× 21 1.0k

Countries citing papers authored by Sharon Portnoy

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Portnoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon Portnoy

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Portnoy. A scholar is included among the top collaborators of Sharon Portnoy 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 Sharon Portnoy. Sharon Portnoy 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.
2.
Portnoy, Sharon, et al.. (2025). Rapid slice-to-volume four-dimensional flow in pediatric congenital heart disease: a feasibility study. Journal of Cardiovascular Magnetic Resonance. 27(1). 101887–101887.
3.
Sun, Liqun, Joshua van Amerom, Sharon Portnoy, et al.. (2024). Fetal Hemodynamics, Early Survival, and Neurodevelopment in Patients With Cyanotic Congenital Heart Disease. Journal of the American College of Cardiology. 83(13). 1225–1239. 5 indexed citations
4.
Saini, Brahmdeep S., Jack R. T. Darby, Davide Marini, et al.. (2021). An MRI approach to assess placental function in healthy humans and sheep. The Journal of Physiology. 599(10). 2573–2602. 23 indexed citations
5.
Sun, Liqun, Joshua van Amerom, Davide Marini, et al.. (2021). MRI characterization of hemodynamic patterns of human fetuses with cyanotic congenital heart disease. Ultrasound in Obstetrics and Gynecology. 58(6). 824–836. 34 indexed citations
6.
Saini, Brahmdeep S., Jack R. T. Darby, Sharon Portnoy, et al.. (2020). Normal human and sheep fetal vessel oxygen saturations by T2 magnetic resonance imaging. The Journal of Physiology. 598(15). 3259–3281. 50 indexed citations
7.
Marini, Davide, Jessie Mei Lim, Johannes Keunen, et al.. (2019). The utility of MRI for measuring hematocrit in fetal anemia. American Journal of Obstetrics and Gynecology. 222(1). 81.e1–81.e13. 22 indexed citations
8.
Vejlstrup, Niels, Line Rode, C. K. Ekelund, et al.. (2019). Magnetic Resonance Imaging: A New Tool to Optimize the Prediction of Fetal Anemia?. Fetal Diagnosis and Therapy. 46(4). 257–265. 2 indexed citations
9.
Portnoy, Sharon, Natasha Milligan, Mike Seed, John G. Sled, & Christopher K. Macgowan. (2017). Human umbilical cord blood relaxation times and susceptibility at 3 T. Magnetic Resonance in Medicine. 79(6). 3194–3206. 26 indexed citations
10.
11.
Portnoy, Sharon, Mike Seed, John G. Sled, & Christopher K. Macgowan. (2017). Non‐invasive evaluation of blood oxygen saturation and hematocrit from T1 and T2 relaxation times: In‐vitro validation in fetal blood. Magnetic Resonance in Medicine. 78(6). 2352–2359. 47 indexed citations
12.
Flint, Jeremy J., Brian Hansen, Sharon Portnoy, et al.. (2012). Magnetic resonance microscopy of human and porcine neurons and cellular processes. NeuroImage. 60(2). 1404–1411. 26 indexed citations
13.
Ye, Wenxing, Sharon Portnoy, Alireza Entezari, Stephen J. Blackband, & Baba C. Vemuri. (2012). An Efficient Interlaced Multi-Shell Sampling Scheme for Reconstruction of Diffusion Propagators. IEEE Transactions on Medical Imaging. 31(5). 1043–1050. 15 indexed citations
14.
Ye, Wenxing, Sharon Portnoy, Alireza Entezari, Baba C. Vemuri, & Stephen J. Blackband. (2011). Box spline based 3D tomographic reconstruction of diffusion propagators from MRI data. PubMed. 2011. 397–400. 2 indexed citations
15.
Zhang, Xiaoli, Jürgen E. Schneider, Sharon Portnoy, Shoumo Bhattacharya, & R. Mark Henkelman. (2010). Comparative SNR for high‐throughput mouse embryo MR microscopy. Magnetic Resonance in Medicine. 63(6). 1703–1707. 15 indexed citations
16.
Portnoy, Sharon, et al.. (2009). Information content of SNR/resolution trade‐offs in three‐dimensional magnetic resonance imaging. Medical Physics. 36(4). 1442–1451. 5 indexed citations
17.
Norman, Richard, John G. Flanagan, Sophie Rausch, et al.. (2009). Dimensions of the human sclera: Thickness measurement and regional changes with axial length. Experimental Eye Research. 90(2). 277–284. 175 indexed citations
18.
Rausch, Sophie, Richard Norman, Christian Gammelgaard Olesen, et al.. (2007). Measurement of Scleral Thickness Distribution in Human Eyes Using Micro-MRI. Investigative Ophthalmology & Visual Science. 48(13). 3306–3306. 1 indexed citations
19.
Portnoy, Sharon & Greg J. Stanisz. (2007). Modeling pulsed magnetization transfer. Magnetic Resonance in Medicine. 58(1). 144–155. 84 indexed citations
20.
Branden, Karlien Vanden, et al.. (2004). Robust regression quantiles for censored data. 887–893. 2 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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