Matthew Lee

3.0k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

Matthew Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Psychiatry and Mental health. According to data from OpenAlex, Matthew Lee has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Genetics and 5 papers in Psychiatry and Mental health. Recurrent topics in Matthew Lee's work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (3 papers). Matthew Lee is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (3 papers). Matthew Lee collaborates with scholars based in United States, Australia and United Kingdom. Matthew Lee's co-authors include Sarah Parisot, Enzo Ferrante, Daniel Rueckert, Sofia Ira Ktena, Ben Glocker, Ricardo Guerrero, Martin Rajchl, Barry H. Schneider, Sébastien Normand and Marie-France Maisonneuve and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthew Lee

34 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

2018 432 citations Sarah Parisot, Sofia Ira Ktena et al. profile →

Peers

Countries citing papers authored by Matthew Lee

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Lee

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning 2025 ·Neuro-Oncology Advances ·Chandan Ganesh Bangalore Yogananda, (unknown), Benjamin Wagner, Yin Xi, (unknown), (unknown), (unknown), (unknown), Kimmo J. Hatanpaa, Toral Patel, Baowei Fei, Matthew Lee, Rajan Jain, Richard J. Bruce, Ananth J. Madhuranthakam, Marco C. Pinho, Joseph A. Maldjian	1
2	Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma 2024 ·Radiology Artificial Intelligence ·(unknown), (unknown), Benjamin Wagner, (unknown), (unknown), (unknown), Kimmo J. Hatanpaa, Toral Patel, (unknown), Matthew Lee, (unknown), Richard J. Bruce, Marco C. Pinho, Ananth J. Madhuranthakam, Joseph A. Maldjian	6
3	T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH -Mutant Astrocytomas 2024 ·Clinical Cancer Research ·Matthew Lee, Rajan Jain, Kristyn Galbraith, (unknown), (unknown), Sohil H. Patel, Dimitris G. Placantonakis, David Zagzag, (unknown), (unknown), John G. Golfinos, Daniel A. Orringer, Matija Snuderl	2
4	Strategies to improve delivery of equitable and evidence-informed care for pregnant and birthing people with a substance use disorder in acute care settings: A scoping review protocol 2024 ·PLoS ONE ·(unknown), Gregory Laynor, Jennifer McNeely, (unknown), Matthew Lee, Mishka Terplan, Sugy Choi	0
5	Synthesizing 3D multi-contrast brain tumor MRIs using tumor mask conditioning 2024 ·PubMed ·(unknown), Chandan Ganesh Bangalore Yogananda, Benjamin Wagner, (unknown), (unknown), (unknown), Kimmo J. Hatanpaa, Toral Patel, Baowei Fei, Matthew Lee, Rajan Jain, Richard J. Bruce, Marco C. Pinho, Ananth J. Madhuranthakam, Joseph A. Maldjian	0
6	MRI-Based Deep Learning Method for Classification of IDH Mutation Status 2023 ·Bioengineering ·Chandan Ganesh Bangalore Yogananda, Benjamin Wagner, (unknown), (unknown), (unknown), (unknown), Kimmo J. Hatanpaa, Toral Patel, Baowei Fei, Matthew Lee, Rajan Jain, Richard J. Bruce, Marco C. Pinho, Ananth J. Madhuranthakam, Joseph A. Maldjian	14
7	Deep multi-task learning and random forest for series classification by pulse sequence type and orientation 2022 ·Neuroradiology ·(unknown), Matthew Lee, Narges Razavian, Yvonne W. Lui	2
8	Applying Theory to Explain the Influence of Factors External to an Organization on the Implementation of an Evidence-Based Intervention 2022 ·Frontiers in Health Services ·Jennifer Leeman, Mary Wangen, Michelle C. Kegler, Matthew Lee, Meghan C. O’Leary, Linda K. Ko, María E. Fernández, Sarah A. Birken	4
9	Under viral attack: An orthopaedic response to challenges faced by regional referral centres during a national cyber-attack 2021 ·The Surgeon ·(unknown), Matthew Lee, (unknown), Iain Feeley, (unknown), (unknown), (unknown), Eoin Sheehan, (unknown)	6
10	“The Pituitary within GRASP” – Golden-Angle Radial Sparse Parallel Dynamic MRI Technique and Applications to the Pituitary Gland 2021 ·Seminars in Ultrasound CT and MRI ·Matthew Lee, Matthew Young, Girish Fatterpekar	4
11	Aligning implementation science with improvement practice: a call to action 2021 ·SHILAP Revista de lepidopterología ·Jennifer Leeman, Catherine L. Rohweder, Matthew Lee, Alison T. Brenner, Andrea Dwyer, Linda K. Ko, Meghan C. O’Leary, Grace Ryan, Thuy Vu, Shoba Ramanadhan	54
12	Tumor volume improves preoperative differentiation of prolactinomas and nonfunctioning pituitary adenomas 2021 ·Endocrine ·(unknown), Matthew Lee, (unknown), Donato Pacione, Matthew Young, Girish Fatterpekar, Nidhi Agrawal	13
13	Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma 2019 ·American Journal of Neuroradiology ·Matthew Lee, Grayson L. Baird, Laura C. Bell, C. Chad Quarles, Jerrold L. Boxerman	37
14	Spectral Graph Convolutions on Population Graphs for Disease Prediction 2017 ·arXiv (Cornell University) ·Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, (unknown), Ben Glocker, Daniel Rueckert	2
15	Metric learning with spectral graph convolutions on brain connectivity networks 2017 ·NeuroImage ·Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew Lee, Ben Glocker, Daniel Rueckert	252
16	A Population-Based Cohort Study on the Drug-Specific Effect of Statins on Sepsis Outcome 2017 ·CHEST Journal ·Chien‐Chang Lee, Meng-tse Gabriel Lee, Tzu‐Chun Hsu, (unknown), Shy-Shin Chang, Chia‐Hung Yo, (unknown), Matthew Lee	46
17	Behaviors associated with negative affect in the friendships of children with ADHD: An exploratory study 2016 ·Psychiatry Research ·Sébastien Normand, James Ambrosoli, Joanna Guiet, (unknown), Barry H. Schneider, Marie-France Maisonneuve, Matthew Lee, Fulvio Tassi	6
18	Video Tracking System for Unmanned Aerial Vehicle 2012 ·UA Campus Repository (The University of Arizona) ·Matthew Lee, (unknown), (unknown)	1
19	Modelling real-time simultaneous saccharification and fermentation of lignocellulosic biomass and organic acid accumulation using dielectric spectroscopy 2011 ·Bioresource Technology ·David Bryant, Stephen Morris, D. K. Leemans, S. Fish, Stephen Taylor, John Carvell, Robert W. Todd, (unknown), Matthew Lee, (unknown), (unknown), Joe Gallagher	18
20	A process for the purification of organochlorine contaminated activated carbon: Sequential solvent purging and reductive dechlorination 2009 ·Water Research ·Matthew Lee, R. Cord‐Ruwisch, Mike Manefield	6

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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