Jason Su

817 total citations
13 papers, 481 citations indexed

About

Jason Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Jason Su has authored 13 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jason Su's work include Advanced Neuroimaging Techniques and Applications (6 papers), AI in cancer detection (4 papers) and Advanced MRI Techniques and Applications (3 papers). Jason Su is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), AI in cancer detection (4 papers) and Advanced MRI Techniques and Applications (3 papers). Jason Su collaborates with scholars based in United States, France and Indonesia. Jason Su's co-authors include Brian K. Rutt, Thomas Tourdias, Manojkumar Saranathan, Eun Young Choi, Ives R. Levesque, Willard S. Kasoff, Michael Zeineh, Andrew Leung, Sean Deoni and Marcelo Kremenchutzky and has published in prestigious journals such as NeuroImage, Brain and Human Brain Mapping.

In The Last Decade

Jason Su

13 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Su United States 10 304 145 141 83 65 13 481
Francesco Grussu United Kingdom 16 701 2.3× 119 0.8× 106 0.8× 34 0.4× 270 4.2× 48 943
Hugh Pemberton United Kingdom 12 142 0.5× 126 0.9× 109 0.8× 51 0.6× 40 0.6× 22 611
Federico Rocca Italy 16 215 0.7× 291 2.0× 103 0.7× 140 1.7× 73 1.1× 19 615
Maria Eugenia Caligiuri Italy 15 257 0.8× 331 2.3× 119 0.8× 150 1.8× 36 0.6× 45 724
Andrew A. Chen United States 15 197 0.6× 23 0.2× 143 1.0× 61 0.7× 51 0.8× 33 684
Christoff Gössl Germany 9 272 0.9× 144 1.0× 172 1.2× 27 0.3× 15 0.2× 13 566
Holly E. Holmes United States 13 265 0.9× 76 0.5× 84 0.6× 59 0.7× 19 0.3× 28 579
S. Diekmann Germany 12 196 0.6× 85 0.6× 54 0.4× 118 1.4× 18 0.3× 24 541
Luduan Zhang United States 10 244 0.8× 67 0.5× 201 1.4× 25 0.3× 14 0.2× 12 501
Walter M. Palm Netherlands 11 239 0.8× 127 0.9× 82 0.6× 119 1.4× 18 0.3× 17 684

Countries citing papers authored by Jason Su

Since Specialization
Citations

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

Fields of papers citing papers by Jason Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Su

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

All Works

13 of 13 papers shown
1.
Pedemonte, Stefano, et al.. (2024). A Semiautonomous Deep Learning System to Reduce False Positives in Screening Mammography. Radiology Artificial Intelligence. 6(3). e230033–e230033. 6 indexed citations
2.
Choi, Eun Young, Lü Tian, Jason Su, et al.. (2022). Thalamic nuclei atrophy at high and heterogenous rates during cognitively unimpaired human aging. NeuroImage. 262. 119584–119584. 16 indexed citations
4.
Su, Jason, et al.. (2021). An improved mammography malignancy model with self-supervised learning. 29–29. 5 indexed citations
6.
Su, Jason, Eun Young Choi, Thomas Tourdias, et al.. (2020). Improved Vim targeting for focused ultrasound ablation treatment of essential tremor: A probabilistic and patient‐specific approach. Human Brain Mapping. 41(17). 4769–4788. 21 indexed citations
7.
Matthews, Thomas P., Sadanand Singh, Jason Su, et al.. (2020). A Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic Mammography. Radiology Artificial Intelligence. 3(1). e200015–e200015. 28 indexed citations
8.
Su, Jason, Willard S. Kasoff, Thomas Tourdias, et al.. (2019). Thalamus Optimized Multi Atlas Segmentation (THOMAS): fast, fully automated segmentation of thalamic nuclei from structural MRI. NeuroImage. 194. 272–282. 135 indexed citations
9.
Planche, Vincent, Jason Su, Manojkumar Saranathan, et al.. (2019). White-matter-nulled MPRAGE at 7T reveals thalamic lesions and atrophy of specific thalamic nuclei in multiple sclerosis. Multiple Sclerosis Journal. 26(8). 987–992. 19 indexed citations
10.
Kuchcinski, Grégory, Fanny Munsch, Renaud Lopes, et al.. (2017). Thalamic alterations remote to infarct appear as focal iron accumulation and impact clinical outcome. Brain. 140(7). 1932–1946. 50 indexed citations
11.
Zeineh, Michael, Mansi Parekh, Greg Zaharchuk, et al.. (2014). Ultrahigh-Resolution Imaging of the Human Brain with Phase-Cycled Balanced Steady-State Free Precession at 7 T. Investigative Radiology. 49(5). 278–289. 22 indexed citations
12.
Tourdias, Thomas, Manojkumar Saranathan, Ives R. Levesque, Jason Su, & Brian K. Rutt. (2013). Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7T. NeuroImage. 84. 534–545. 97 indexed citations
13.
Kitzler, Hagen H., Jason Su, Michael Zeineh, et al.. (2011). Deficient MWF mapping in multiple sclerosis using 3D whole-brain multi-component relaxation MRI. NeuroImage. 59(3). 2670–2677. 70 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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