Matthew B. Schabath

20.9k total citations · 5 hit papers
213 papers, 11.0k citations indexed

About

Matthew B. Schabath is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Matthew B. Schabath has authored 213 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Pulmonary and Respiratory Medicine, 74 papers in Radiology, Nuclear Medicine and Imaging and 49 papers in Oncology. Recurrent topics in Matthew B. Schabath's work include Radiomics and Machine Learning in Medical Imaging (66 papers), Lung Cancer Diagnosis and Treatment (61 papers) and LGBTQ Health, Identity, and Policy (38 papers). Matthew B. Schabath is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (66 papers), Lung Cancer Diagnosis and Treatment (61 papers) and LGBTQ Health, Identity, and Policy (38 papers). Matthew B. Schabath collaborates with scholars based in United States, China and Türkiye. Matthew B. Schabath's co-authors include Robert J. Gillies, Michele L. Coté, Yoganand Balagurunathan, Lawrence Hall, Hugo J.W.L. Aerts, Gwendolyn P. Quinn, Dmitry B. Goldgof, Margaret R. Spitz, Steven A. Eschrich and Xifeng Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.

In The Last Decade

Matthew B. Schabath

200 papers receiving 10.8k citations

Hit Papers

Radiomics: the process and the challenges 2012 2026 2016 2021 2012 2019 2019 2017 2015 500 1000 1.5k
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.

  1. Radiomics: the process and the challenges
    2012 1.7k citations Steven A. Eschrich, Matthew B. Schabath et al. profile →
  2. Artificial intelligence in cancer imaging: Clinical challenges and applications
    2019 1.2k citations Matthew B. Schabath, Robert J. Gillies et al. profile →
  3. Cancer Progress and Priorities: Lung Cancer
    2019 710 citations Matthew B. Schabath et al. Cancer Epidemiology Biomarkers & Prevention profile →
  4. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
    2017 444 citations Yoganand Balagurunathan, Matthew B. Schabath et al. profile →
  5. Cancer and lesbian, gay, bisexual, transgender/transsexual, and queer/questioning (LGBTQ) populations
    2015 325 citations Gwendolyn P. Quinn, Susan T. Vadaparampil et al. profile →

Peers

Matthew B. Schabath
Peter A. Fasching Germany
Weimin Li China
Chuansheng Zheng China
Kimberly Andrews United States
Gina Lockwood Canada
Tina Hernandez‐Boussard United States
Julie R. Gralow United States
Kent A. Griffith United States
S. Larry Goldenberg Canada
Daniel F. Heitjan United States
Peter A. Fasching Germany
Matthew B. Schabath
Citations per year, relative to Matthew B. Schabath Matthew B. Schabath (= 1×) peers Peter A. Fasching

Countries citing papers authored by Matthew B. Schabath

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Schabath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew B. Schabath

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew B. Schabath. A scholar is included among the top collaborators of Matthew B. Schabath 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 B. Schabath. Matthew B. Schabath 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
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Tripathi, Aakash, Hamza Farooq, Joseph Johnson, et al.. (2025). Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication. International Journal of Molecular Sciences. 26(15). 7358–7358. 2 indexed citations
3.
Domogauer, Jason, Marina Stasenko, Gwendolyn P. Quinn, & Matthew B. Schabath. (2024). RE: Prevalence of cancer survivors in the United States. JNCI Journal of the National Cancer Institute. 116(11). 1867–1868.
4.
Schabath, Matthew B., et al.. (2024). Medical student clinical cultural awareness in cancer care of sexual gender minority patients. Patient Education and Counseling. 129. 108395–108395. 1 indexed citations
5.
Maingi, Shail, et al.. (2024). Disparities uncovered: LGBTQ+ patients report on their cancer care journey.. Journal of Clinical Oncology. 42(16_suppl). 1516–1516. 1 indexed citations
6.
Schabath, Matthew B., Jonathan P. Thompson, Jyoti Malhotra, et al.. (2024). Clinical characteristics and treatment patterns of patients with NTRK fusion–positive solid tumors: A multisite cohort study at US academic cancer centers. Journal of Managed Care & Specialty Pharmacy. 30(7). 672–683. 1 indexed citations
7.
Rosenberger, Albert, Heike Bickeböller, David C. Christiani, et al.. (2024). On the informative value of community‐based indoor radon values in relation to lung cancer. Cancer Medicine. 13(16). e70126–e70126. 2 indexed citations
8.
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Quinn, Gwendolyn P., et al.. (2023). Psychosocial characteristics and quality of life among sexual and gender minority patients with cancer. JNCI Cancer Spectrum. 7(5). 5 indexed citations
10.
Boehmer, Ulrike, Shine Chang, Nelson F. Sánchez, Bill M. Jesdale, & Matthew B. Schabath. (2023). Cancer survivors’ health behaviors and outcomes: a population-based study of sexual and gender minorities. JNCI Journal of the National Cancer Institute. 115(10). 1164–1170. 9 indexed citations
11.
Rollison, Dana E., Brian D. Gonzalez, Kea Turner, et al.. (2023). Examining disparities in large‐scale patient‐reported data capture using digital tools among cancer patients at clinical intake. Cancer Medicine. 12(18). 19033–19046. 7 indexed citations
12.
Amorrortu, Rossybelle P., Issam El Naqa, Yoganand Balagurunathan, et al.. (2023). Overview of approaches to estimate real-world disease progression in lung cancer. JNCI Cancer Spectrum. 7(6). 3 indexed citations
13.
Schabath, Matthew B., Alan G. Nyitray, Timothy Wilkin, et al.. (2022). The Association between Smoking and Anal Human Papillomavirus in the HPV Infection in Men Study. Cancer Epidemiology Biomarkers & Prevention. 31(8). 1546–1553. 8 indexed citations
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Tunali, Ilke, Yan Tan, Jhanelle E. Gray, et al.. (2021). Hypoxia-Related Radiomics and Immunotherapy Response: A Multicohort Study of Non-Small Cell Lung Cancer. JNCI Cancer Spectrum. 5(4). 31 indexed citations
16.
Mu, Wei, Lei Jiang, Yu Shi, et al.. (2021). Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images. Journal for ImmunoTherapy of Cancer. 9(6). e002118–e002118. 148 indexed citations
17.
Schabath, Matthew B., Tapashi Dalvi, Hongyue Dai, et al.. (2019). <p>A Molecular Epidemiological Analysis Of Programmed Cell Death Ligand-1 (PD-L1) Protein Expression, Mutations And Survival In Non-Small Cell Lung Cancer</p>. Cancer Management and Research. Volume 11. 9469–9481. 1 indexed citations
18.
Cherezov, Dmitry, Dmitry B. Goldgof, Lawrence Hall, et al.. (2019). Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness. Scientific Reports. 9(1). 4500–4500. 34 indexed citations
19.
Seay, Julia, Amanda Hicks, Merry Jennifer Markham, et al.. (2019). Developing a web-based LGBT cultural competency training for oncologists: The COLORS training. Patient Education and Counseling. 102(5). 984–989. 27 indexed citations
20.
Schabath, Matthew B., Luisa L. Villa, Hui‐Yi Lin, et al.. (2013). Racial Differences in the Incidence and Clearance of Human Papilloma Virus (HPV): The HPV in Men (HIM) Study. Cancer Epidemiology Biomarkers & Prevention. 22(10). 1762–1770. 15 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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