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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Lee United States	11	520	221	201	196	110	39	1.1k
Alessia Sarica Italy	17	252 0.5×	264 1.2×	227 1.1×	149 0.8×	123 1.1×	60	1.2k
Gilles Cohen Switzerland	15	353 0.7×	262 1.2×	193 1.0×	299 1.5×	41 0.4×	29	1.3k
Pieter Kubben Netherlands	23	785 1.5×	290 1.3×	221 1.1×	156 0.8×	143 1.3×	81	2.1k
Manuel Gómez-Río Spain	19	181 0.3×	264 1.2×	221 1.1×	137 0.7×	247 2.2×	56	1.2k
Qingyu Zhao United States	15	239 0.5×	220 1.0×	65 0.3×	187 1.0×	67 0.6×	64	779
Kerstin Ritter Germany	16	271 0.5×	166 0.8×	125 0.6×	197 1.0×	121 1.1×	41	943
Bilwaj Gaonkar United States	19	223 0.4×	290 1.3×	98 0.5×	139 0.7×	114 1.0×	55	1.0k
Baek Hwan Cho South Korea	18	229 0.4×	247 1.1×	122 0.6×	171 0.9×	45 0.4×	50	1.1k
Hui Wen Loh Singapore	17	485 0.9×	179 0.8×	111 0.6×	304 1.6×	81 0.7×	21	1.4k
Daniel Schwarz Czechia	17	272 0.5×	204 0.9×	128 0.6×	84 0.4×	27 0.2×	99	887

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

Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Yin Xi, et al.. (2025). Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning. Neuro-Oncology Advances. 7(1). vdaf142–vdaf142. 1 indexed citations

Wagner, Benjamin, Kimmo J. Hatanpaa, Toral Patel, et al.. (2024). Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma. Radiology Artificial Intelligence. 6(4). e230218–e230218. 6 indexed citations

Lee, Matthew, Rajan Jain, Kristyn Galbraith, et al.. (2024). T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH -Mutant Astrocytomas. Clinical Cancer Research. 30(16). 3512–3519. 2 indexed citations

Laynor, Gregory, et al.. (2024). 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. PLoS ONE. 19(3). e0300183–e0300183.

Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Kimmo J. Hatanpaa, et al.. (2024). Synthesizing 3D multi-contrast brain tumor MRIs using tumor mask conditioning. PubMed. 12931. 22–22.

Yogananda, Chandan Ganesh Bangalore, Benjamin Wagner, Kimmo J. Hatanpaa, et al.. (2023). MRI-Based Deep Learning Method for Classification of IDH Mutation Status. Bioengineering. 10(9). 1045–1045. 14 indexed citations

Lee, Matthew, et al.. (2022). Deep multi-task learning and random forest for series classification by pulse sequence type and orientation. Neuroradiology. 65(1). 77–87. 2 indexed citations

Leeman, Jennifer, Mary Wangen, Michelle C. Kegler, et al.. (2022). Applying Theory to Explain the Influence of Factors External to an Organization on the Implementation of an Evidence-Based Intervention. Frontiers in Health Services. 2. 889786–889786. 4 indexed citations

Lee, Matthew, et al.. (2021). Under viral attack: An orthopaedic response to challenges faced by regional referral centres during a national cyber-attack. The Surgeon. 20(5). 334–338. 6 indexed citations

10.

Lee, Matthew, Matthew Young, & Girish Fatterpekar. (2021). “The Pituitary within GRASP” – Golden-Angle Radial Sparse Parallel Dynamic MRI Technique and Applications to the Pituitary Gland. Seminars in Ultrasound CT and MRI. 42(3). 307–315. 4 indexed citations

11.

Leeman, Jennifer, Catherine L. Rohweder, Matthew Lee, et al.. (2021). Aligning implementation science with improvement practice: a call to action. SHILAP Revista de lepidopterología. 2(1). 99–99. 54 indexed citations

12.

Lee, Matthew, et al.. (2021). Tumor volume improves preoperative differentiation of prolactinomas and nonfunctioning pituitary adenomas. Endocrine. 74(1). 138–145. 13 indexed citations

13.

Lee, Matthew, Grayson L. Baird, Laura C. Bell, C. Chad Quarles, & Jerrold L. Boxerman. (2019). Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma. American Journal of Neuroradiology. 40(9). 1445–1450. 37 indexed citations

14.

Parisot, Sarah, Sofia Ira Ktena, Enzo Ferrante, et al.. (2017). Spectral Graph Convolutions on Population Graphs for Disease Prediction. arXiv (Cornell University). 2 indexed citations

15.

Ktena, Sofia Ira, Sarah Parisot, Enzo Ferrante, et al.. (2017). Metric learning with spectral graph convolutions on brain connectivity networks. NeuroImage. 169. 431–442. 252 indexed citations

16.

Lee, Chien‐Chang, Meng-tse Gabriel Lee, Tzu‐Chun Hsu, et al.. (2017). A Population-Based Cohort Study on the Drug-Specific Effect of Statins on Sepsis Outcome. CHEST Journal. 153(4). 805–815. 46 indexed citations

17.

Normand, Sébastien, James Ambrosoli, Joanna Guiet, et al.. (2016). Behaviors associated with negative affect in the friendships of children with ADHD: An exploratory study. Psychiatry Research. 247. 222–224. 6 indexed citations

18.

Lee, Matthew, et al.. (2012). Video Tracking System for Unmanned Aerial Vehicle. UA Campus Repository (The University of Arizona). 1 indexed citations

19.

Bryant, David, Stephen Morris, D. K. Leemans, et al.. (2011). Modelling real-time simultaneous saccharification and fermentation of lignocellulosic biomass and organic acid accumulation using dielectric spectroscopy. Bioresource Technology. 102(20). 9675–9682. 18 indexed citations

20.

Lee, Matthew, R. Cord‐Ruwisch, & Mike Manefield. (2009). A process for the purification of organochlorine contaminated activated carbon: Sequential solvent purging and reductive dechlorination. Water Research. 44(5). 1580–1590. 6 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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