Mark Muzi

6.7k total citations
116 papers, 4.3k citations indexed

About

Mark Muzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Genetics. According to data from OpenAlex, Mark Muzi has authored 116 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Cancer Research and 31 papers in Genetics. Recurrent topics in Mark Muzi's work include Medical Imaging Techniques and Applications (87 papers), Cancer, Hypoxia, and Metabolism (37 papers) and Glioma Diagnosis and Treatment (31 papers). Mark Muzi is often cited by papers focused on Medical Imaging Techniques and Applications (87 papers), Cancer, Hypoxia, and Metabolism (37 papers) and Glioma Diagnosis and Treatment (31 papers). Mark Muzi collaborates with scholars based in United States, Ireland and Czechia. Mark Muzi's co-authors include David A. Mankoff, Kenneth A. Krohn, Alexander M. Spence, Jeanne M. Link, Finbarr O’Sullivan, Lanell M. Peterson, John R. Grierson, Michael M. Graham, Joseph G. Rajendran and Hubert Vesselle and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Mark Muzi

112 papers receiving 4.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark Muzi 2.9k 1.3k 1.0k 760 753 116 4.3k
Alexander M. Spence 2.1k 0.7× 1.1k 0.9× 1.6k 1.5× 593 0.8× 721 1.0× 117 4.8k
James P.B. O’Connor 3.3k 1.1× 799 0.6× 336 0.3× 577 0.8× 979 1.3× 117 4.8k
Susan Short 1.5k 0.5× 661 0.5× 1.0k 1.0× 708 0.9× 1.2k 1.6× 159 4.2k
Janet S. Rasey 2.8k 1.0× 1.9k 1.6× 460 0.5× 445 0.6× 1.2k 1.6× 97 4.3k
Heikki Minn 4.2k 1.4× 1.7k 1.4× 606 0.6× 1.7k 2.2× 2.6k 3.5× 207 8.2k
Anthony J. Chalmers 794 0.3× 974 0.8× 1.3k 1.3× 1.8k 2.4× 998 1.3× 131 4.9k
Gabriele Stoffels 3.4k 1.2× 605 0.5× 3.5k 3.4× 211 0.3× 957 1.3× 125 4.8k
Phioanh L. Nghiemphu 2.8k 1.0× 1.1k 0.9× 4.0k 3.9× 535 0.7× 1.0k 1.4× 150 5.7k
Friedrich W. Kreth 1.8k 0.6× 777 0.6× 3.8k 3.7× 537 0.7× 1.8k 2.3× 61 5.1k
Sara Erridge 652 0.2× 485 0.4× 1.7k 1.6× 515 0.7× 990 1.3× 67 3.0k

Countries citing papers authored by Mark Muzi

Since Specialization
Citations

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

Fields of papers citing papers by Mark Muzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Muzi

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Muzi. A scholar is included among the top collaborators of Mark Muzi 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 Mark Muzi. Mark Muzi 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.
Peterson, Lanell M., Jennifer M. Specht, David A. Mankoff, et al.. (2025). Fluoroestradiol (FES) and Fluorodeoxyglucose (FDG) PET imaging in patients with ER+, HER2-positive or HER2-negative metastatic breast cancer. Breast Cancer Research. 27(1). 23–23. 1 indexed citations
2.
Chvetsov, Alexei V. & Mark Muzi. (2024). Equivalent uniform aerobic dose in radiotherapy for hypoxic tumors. Physics in Medicine and Biology. 69(8). 85011–85011. 1 indexed citations
3.
Muzi, Mark, Lanell M. Peterson, Jennifer M. Specht, et al.. (2024). Repeatability of 18F-FDG uptake in metastatic bone lesions of breast cancer patients and implications for accrual to clinical trials. EJNMMI Research. 14(1). 32–32.
5.
Malyarenko, Dariya, Stephen Pickup, Rong Zhou, et al.. (2023). Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom. Tomography. 9(1). 375–386. 4 indexed citations
6.
Muzi, Mark, et al.. (2022). Patient-Adaptive Population-Based Modeling of Arterial Input Functions. IEEE Transactions on Medical Imaging. 42(1). 132–147. 4 indexed citations
7.
Pantel, Austin R., Varsha Viswanath, Mark Muzi, Robert K. Doot, & David A. Mankoff. (2022). Principles of Tracer Kinetic Analysis in Oncology, Part II: Examples and Future Directions. Journal of Nuclear Medicine. 63(4). 514–521. 7 indexed citations
9.
Viswanath, Varsha, Austin R. Pantel, Margaret E. Daube-Witherspoon, et al.. (2020). Quantifying Bias and Precision of Kinetic Parameter Estimation on the PennPET Explorer, a Long Axial Field-of-View Scanner. IEEE Transactions on Radiation and Plasma Medical Sciences. 4(6). 735–749. 18 indexed citations
11.
Billington, Sarah, Steven C. Shoner, Scott D. Lee, et al.. (2019). Positron Emission Tomography Imaging of [11C]Rosuvastatin Hepatic Concentrations and Hepatobiliary Transport in Humans in the Absence and Presence of Cyclosporin A. Clinical Pharmacology & Therapeutics. 106(5). 1056–1066. 50 indexed citations
12.
Ratai, Eva‐Maria, Zheng Zhang, James R. Fink, et al.. (2018). ACRIN 6684: Multicenter, phase II assessment of tumor hypoxia in newly diagnosed glioblastoma using magnetic resonance spectroscopy. PLoS ONE. 13(6). e0198548–e0198548. 20 indexed citations
13.
Kurland, Brenda F., Lanell M. Peterson, Andrew Shields, et al.. (2018). Test–Retest Reproducibility of 18F-FDG PET/CT Uptake in Cancer Patients Within a Qualified and Calibrated Local Network. Journal of Nuclear Medicine. 60(5). 608–614. 22 indexed citations
14.
Muzi, Mark, Lanell M. Peterson, Hannah M. Linden, et al.. (2017). A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy. Physics in Medicine and Biology. 62(9). 3639–3655. 15 indexed citations
15.
Gerstner, Elizabeth R., Zheng Zhang, James R. Fink, et al.. (2016). ACRIN 6684: Assessment of Tumor Hypoxia in Newly Diagnosed Glioblastoma Using 18F-FMISO PET and MRI. Clinical Cancer Research. 22(20). 5079–5086. 85 indexed citations
16.
Muzi, Mark, Lanell M. Peterson, Hannah M. Linden, et al.. (2015). Effect of 18F-FDG Uptake Time on Lesion Detectability in PET Imaging of Early-Stage Breast Cancer. Tomography. 1(1). 53–60. 1 indexed citations
18.
Yu, Evan Y., Mark Muzi, Jeanne M. Link, et al.. (2011). C11-Acetate and F-18 FDG PET for Men With Prostate Cancer Bone Metastases. Clinical Nuclear Medicine. 36(3). 192–198. 58 indexed citations
19.
Szeto, Mindy D, Jennifer Hadley, Russell C. Rockne, et al.. (2009). Quantitative Metrics of Net Proliferation and Invasion Link Biological Aggressiveness Assessed by MRI with Hypoxia Assessed by FMISO-PET in Newly Diagnosed Glioblastomas. Cancer Research. 69(10). 4502–4509. 121 indexed citations
20.
Spence, Alexander M., Mark Muzi, Maciej Mrugala, et al.. (2007). [F-18]-fluoromisonidazole (FMISO) PET demonstrates reduced hypoxia in recurrent malignant gliomas that respond to bevacizumab and irinotecan. Molecular Cancer Therapeutics. 6. 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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