John J. Lee

2.2k total citations · 1 hit paper
57 papers, 1.7k citations indexed

About

John J. Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Immunology. According to data from OpenAlex, John J. Lee has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Cognitive Neuroscience and 7 papers in Immunology. Recurrent topics in John J. Lee's work include Advanced MRI Techniques and Applications (19 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). John J. Lee is often cited by papers focused on Advanced MRI Techniques and Applications (19 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). John J. Lee collaborates with scholars based in United States, Italy and Belarus. John J. Lee's co-authors include S. H. Hutner, Eugene C. Bovee, Joshua S. Shimony, Raif S. Geha, H. A. Rubin, Ingrid Rauter, Eric C. Leuthardt, Colin P. Derdeyn, Abraham Z. Snyder and Esra Özcan and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

John J. Lee

53 papers receiving 1.6k citations

Hit Papers

An illustrated guide to the protozoa 1985 2026 1998 2012 1985 250 500 750

Peers

John J. Lee
Simon Ward Australia
Keijo Viiri Finland
Sophie Dennison United States
Sergey I. Nikolaev Switzerland
Niklas Zar Sweden
I. Friedmann United Kingdom
John J. Lee
Citations per year, relative to John J. Lee John J. Lee (= 1×) peers Kenji Takai

Countries citing papers authored by John J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by John J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Lee. A scholar is included among the top collaborators of John J. Lee 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 John J. Lee. John J. Lee 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.
Blazey, Tyler, John J. Lee, Abraham Z. Snyder, et al.. (2025). Hyperglycemia selectively increases cerebral non-oxidative glucose consumption without affecting blood flow. Journal of Cerebral Blood Flow & Metabolism. 45(12). 2342–2359.
2.
Snyder, Abraham Z., Manu S. Goyal, Timothy O. Laumann, et al.. (2025). Aging and the Spectral Properties of Brain Hemodynamics. Advanced Science. 12(37). e17644–e17644.
3.
Volpi, Tommaso, John J. Lee, Andrei G. Vlassenko, et al.. (2024). Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard. European Journal of Nuclear Medicine and Molecular Imaging. 52(3). 836–850. 1 indexed citations
4.
Luckett, Patrick H., Bidhan Lamichhane, Donna Dierker, et al.. (2024). Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning. Journal of Neuro-Oncology. 169(1). 175–185. 3 indexed citations
5.
Volpi, Tommaso, Tony J. Durbin, Maurizio Corbetta, et al.. (2023). A new framework for metabolic connectivity mapping using bolus [ 18 F]FDG PET and kinetic modeling. Journal of Cerebral Blood Flow & Metabolism. 43(11). 1905–1918. 9 indexed citations
6.
Luckett, Patrick H., John J. Lee, Ryan V. Raut, et al.. (2023). Resting state network mapping in individuals using deep learning. Frontiers in Neurology. 13. 1055437–1055437. 6 indexed citations
7.
Luckett, Patrick H., John J. Lee, Eric J. Lenze, et al.. (2023). Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning. Journal of neurosurgery. 139(5). 1258–1269. 10 indexed citations
8.
Snyder, Abraham Z., Patrick H. Luckett, Bidhan Lamichhane, et al.. (2023). Glioblastoma induces whole-brain spectral change in resting state fMRI: Associations with clinical comorbidities and overall survival. NeuroImage Clinical. 39. 103476–103476. 11 indexed citations
9.
Lamichhane, Bidhan, et al.. (2021). Machine Learning Analytics of Resting-State Functional Connectivity Predicts Survival Outcomes of Glioblastoma Multiforme Patients. Frontiers in Neurology. 12. 642241–642241. 17 indexed citations
10.
Daniel, Andy, Carl D. Hacker, John J. Lee, et al.. (2021). Homotopic functional connectivity disruptions in glioma patients are associated with tumor malignancy and overall survival. Neuro-Oncology Advances. 3(1). vdab176–vdab176. 10 indexed citations
11.
Lee, John J., Donna Dierker, Carl D. Hacker, et al.. (2020). Mapping language function with task-based vs. resting-state functional MRI. PLoS ONE. 15(7). e0236423–e0236423. 35 indexed citations
12.
Luckett, Patrick H., John J. Lee, Donna Dierker, et al.. (2020). Mapping of the Language Network With Deep Learning. Frontiers in Neurology. 11. 819–819. 9 indexed citations
14.
Lee, John J., et al.. (2018). Hemodynamic Impairment Measured by Positron-Emission Tomography Is Regionally Associated with Decreased Cortical Thickness in Moyamoya Phenomenon. American Journal of Neuroradiology. 39(11). 2037–2044. 6 indexed citations
15.
Lee, John J., et al.. (2012). The Kety-Schmidt Technique for Quantitative Perfusion and Oxygen Metabolism Measurements in the MR Imaging Environment. American Journal of Neuroradiology. 34(9). E100–E102. 1 indexed citations
16.
Lee, John J., G. Larry Bretthorst, Colin P. Derdeyn, et al.. (2010). Dynamic susceptibility contrast MRI with localized arterial input functions. Magnetic Resonance in Medicine. 63(5). 1305–1314. 16 indexed citations
17.
Lee, John J., Haifa H. Jabara, Lilit Garibyan, et al.. (2010). The C104R mutant impairs the function of transmembrane activator and calcium modulator and cyclophilin ligand interactor (TACI) through haploinsufficiency. Journal of Allergy and Clinical Immunology. 126(6). 1234–1241.e2. 38 indexed citations
18.
Lee, John J., et al.. (2009). Cervical Carotid and Circle of Willis Arterial Anatomy of Macaque Monkeys: A Comparative Anatomy Study. The Anatomical Record. 292(7). 976–984. 7 indexed citations
19.
Lee, John J., Esra Özcan, Ingrid Rauter, & Raif S. Geha. (2008). Transmembrane activator and calcium-modulator and cyclophilin ligand interactor mutations in common variable immunodeficiency. Current Opinion in Allergy and Clinical Immunology. 8(6). 520–526. 23 indexed citations
20.
Hwang, Changmo, et al.. (2006). Assessment of Hemodynamic Properties of Trileaflet Polymer Heart Valve Manufactured By Vacuum Forming Process. Journal of Biomedical Engineering Research. 27(6). 418–426. 1 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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