Leo P. Sugrue

7.4k total citations · 2 hit papers
48 papers, 2.4k citations indexed

About

Leo P. Sugrue is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Leo P. Sugrue has authored 48 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Neurology and 11 papers in Cognitive Neuroscience. Recurrent topics in Leo P. Sugrue's work include Advanced Neuroimaging Techniques and Applications (9 papers), Neurological disorders and treatments (7 papers) and Functional Brain Connectivity Studies (6 papers). Leo P. Sugrue is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (9 papers), Neurological disorders and treatments (7 papers) and Functional Brain Connectivity Studies (6 papers). Leo P. Sugrue collaborates with scholars based in United States, United Kingdom and Canada. Leo P. Sugrue's co-authors include William T. Newsome, Greg S. Corrado, Rahul S. Desikan, Edward F. Chang, Katherine W. Scangos, Andrew D. Krystal, Ghassan S. Makhoul, H. Sebastian Seung, Christopher P. Hess and Philip A. Starr and has published in prestigious journals such as Science, JAMA and Nature Medicine.

In The Last Decade

Leo P. Sugrue

44 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Matching Behavior and the Representation of Value in the Parietal Cortex

2004 747 citations Leo P. Sugrue et al. profile →
Closed-loop neuromodulation in an individual with treatment-resistant depression

2021 272 citations Katherine W. Scangos, Ankit N. Khambhati et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leo P. Sugrue United States	17	1.4k	392	365	247	198	48	2.4k
Peter Smittenaar United Kingdom	20	893 0.6×	178 0.5×	104 0.3×	83 0.3×	207 1.0×	26	1.8k
Wael F. Asaad United States	28	2.5k 1.8×	754 1.9×	958 2.6×	188 0.8×	283 1.4×	94	4.4k
Ulrike M. Krämer Germany	34	2.0k 1.4×	330 0.8×	296 0.8×	394 1.6×	229 1.2×	102	3.3k
Eliza Congdon United States	30	1.5k 1.1×	414 1.1×	76 0.2×	110 0.4×	234 1.2×	60	3.2k
Chad Carlson United States	34	2.1k 1.5×	729 1.9×	489 1.3×	599 2.4×	339 1.7×	101	3.8k
Max C. Keuken Netherlands	28	968 0.7×	288 0.7×	626 1.7×	122 0.5×	746 3.8×	47	1.9k
Michele A. Basso United States	34	2.5k 1.8×	780 2.0×	606 1.7×	538 2.2×	107 0.5×	96	4.2k
Gianpaolo Basso Italy	23	1.9k 1.4×	181 0.5×	219 0.6×	130 0.5×	559 2.8×	62	2.8k
Seiki Konishi Japan	32	3.6k 2.6×	327 0.8×	181 0.5×	376 1.5×	426 2.2×	80	4.4k
Tor Endestad Norway	29	1.7k 1.2×	163 0.4×	87 0.2×	161 0.7×	143 0.7×	105	2.6k

Countries citing papers authored by Leo P. Sugrue

Since Specialization

Citations

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

Fields of papers citing papers by Leo P. Sugrue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo P. Sugrue. 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 Leo P. Sugrue. The network helps show where Leo P. Sugrue may publish in the future.

Co-authorship network of co-authors of Leo P. Sugrue

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rauschecker, Andreas M., Simon Pan, Clare E. Palmer, et al.. (2025). Neurocognitive and brain structure correlates of reading and television habits in early adolescence. Scientific Reports. 15(1). 6235–6235. 2 indexed citations

Nagata, Jason M., Ricardo M. Richardson, Sashikant Nayak, et al.. (2025). Social Media Use Trajectories and Cognitive Performance in Adolescents. JAMA. 334(21). 1948–1948.

Frank, Adam C., Melanie A. Morrison, Leo P. Sugrue, et al.. (2024). Tractography-based DBS lead repositioning improves outcome in refractory OCD and depression. Frontiers in Human Neuroscience. 17. 1339340–1339340. 2 indexed citations

Rinsveld, Amandine Van, Adam Richie-Halford, Andreas M. Rauschecker, et al.. (2024). Differences in educational opportunity predict white matter development. Developmental Cognitive Neuroscience. 67. 101386–101386. 6 indexed citations

Rudie, Jeffrey D., David Weiß, Evan Calabrese, et al.. (2024). The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology Artificial Intelligence. 6(2). e230126–e230126. 10 indexed citations

Reid, Lee B., Adam C. Frank, Andrew D. Krystal, et al.. (2024). Therapeutic DBS for OCD Suppresses the Default Mode Network. Human Brain Mapping. 45(18). e70106–e70106. 1 indexed citations

Weiß, David, et al.. (2023). 3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies. Frontiers in Neuroscience. 17. 1188336–1188336. 4 indexed citations

Broce, Iris, Eduardo Caverzasi, Simone Sacco, et al.. (2023). PRNP expression predicts imaging findings in sporadic Creutzfeldt‐Jakob disease. Annals of Clinical and Translational Neurology. 10(4). 536–552. 1 indexed citations

Rudie, Jeffrey D., Evan Calabrese, David Weiß, et al.. (2022). Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks. Radiology Artificial Intelligence. 4(5). e210243–e210243. 14 indexed citations

10.

Rudie, Jeffrey D., et al.. (2022). Development of Gestational Age–Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning. American Journal of Neuroradiology. 44(1). 82–90. 4 indexed citations

11.

Scangos, Katherine W., Ghassan S. Makhoul, Leo P. Sugrue, Edward F. Chang, & Andrew D. Krystal. (2021). State-dependent responses to intracranial brain stimulation in a patient with depression. Nature Medicine. 27(2). 229–231. 137 indexed citations

12.

Rauschecker, Andreas M., Michael Tran Duong, David Weiß, et al.. (2021). Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm. Radiology Artificial Intelligence. 4(1). e200152–e200152. 16 indexed citations

13.

Scangos, Katherine W., Ankit N. Khambhati, Patrick M. Daly, et al.. (2021). Closed-loop neuromodulation in an individual with treatment-resistant depression. Nature Medicine. 27(10). 1696–1700. 272 indexed citations breakdown →

14.

Broce, Iris, Nilika S. Singhal, Christine M. Glastonbury, et al.. (2021). Longitudinal analysis of regional brain changes in anti-NMDAR encephalitis: a case report. BMC Neurology. 21(1). 412–412. 1 indexed citations

15.

Weiß, David, Long Xie, James C. Gee, et al.. (2021). Automated multiclass tissue segmentation of clinical brain MRIs with lesions. NeuroImage Clinical. 31. 102769–102769. 14 indexed citations

16.

Callen, Andrew L., Daniel Chow, Michelle Bardis, et al.. (2020). Predictive Value of Noncontrast Head CT with Negative Findings in the Emergency Department Setting. American Journal of Neuroradiology. 41(2). 213–218. 2 indexed citations

17.

Connolly, Colm G., Eva Henje, Leo P. Sugrue, et al.. (2020). Gray Matter Changes in Adolescents Participating in a Meditation Training. Frontiers in Human Neuroscience. 14. 319–319. 16 indexed citations

18.

Bonham, Luke W., Daniel W. Sirkis, Christopher P. Hess, Leo P. Sugrue, & Jennifer S. Yokoyama. (2019). The Radiogenomics of Late-onset Alzheimer Disease. Topics in Magnetic Resonance Imaging. 28(6). 325–334. 2 indexed citations

19.

Barkovich, Matthew J., Chin Hong Tan, Yi Li, et al.. (2018). Abnormal Morphology of Select Cortical and Subcortical Regions in Neurofibromatosis Type 1. Radiology. 289(2). 499–508. 11 indexed citations

20.

Yu, John‐Paul J., et al.. (2013). Heterogeneous 18F-FDG Uptake in Recurrent Respiratory Papillomatosis. Clinical Nuclear Medicine. 38(5). 387–389. 8 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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