William R. Masch

969 total citations
29 papers, 515 citations indexed

About

William R. Masch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, William R. Masch has authored 29 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Hepatology. Recurrent topics in William R. Masch's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). William R. Masch is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). William R. Masch collaborates with scholars based in United States, United Kingdom and Sweden. William R. Masch's co-authors include Matthew S. Davenport, Mishal Mendiratta‐Lala, Katherine E. Maturen, Jonathan M. Rubin, Anum Aslam, Victoria Chernyak, Dawn Owen, Robert M. Marks, Kyle C. Cuneo and Theodore S. Lawrence and has published in prestigious journals such as New England Journal of Medicine, Radiology and Journal of Clinical Microbiology.

In The Last Decade

William R. Masch

27 papers receiving 505 citations

Peers

William R. Masch

RNMI

HEPAT

PRM

EPIDE

SURGE

Federica Fiocchi Italy

Lejla Aganović United States

Nayna Patel United Kingdom

Anmol Bhatia India

Seung Joon Choi South Korea

Francisco Cigarroa United States

Veronica Delaney United States

Ute Kettritz Germany

Jennifer Zook United States

Carmen Rubio Spain

Federica Fiocchi Italy

William R. Masch

96 ×0.5

RNMI

136 ×0.7

HEPAT

45 ×0.4

PRM

189 ×1.8

EPIDE

115 ×1.6

SURGE

Citations per year, relative to William R. Masch William R. Masch (= 1×) peers Federica Fiocchi

Countries citing papers authored by William R. Masch

Since Specialization

Citations

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

Fields of papers citing papers by William R. Masch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Masch. 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 William R. Masch. The network helps show where William R. Masch may publish in the future.

Co-authorship network of co-authors of William R. Masch

This figure shows the co-authorship network connecting the top 25 collaborators of William R. Masch. A scholar is included among the top collaborators of William R. Masch 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 William R. Masch. William R. Masch 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

Ali, Redha, Hailong Li, Wen‐Chi Pan, et al.. (2025). Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI. European Radiology. 35(7). 4362–4373. 1 indexed citations

Jia, Wei, Hailong Li, Redha Ali, et al.. (2024). Investigation of ComBat Harmonization on Radiomic and Deep Features from Multi-Center Abdominal MRI Data. Journal of Imaging Informatics in Medicine. 38(2). 1016–1027. 2 indexed citations

Lee, Elizabeth, et al.. (2022). Understanding Lymphatic Anatomy and Abnormalities at Imaging. Radiographics. 42(2). 487–505. 26 indexed citations

Consul, Nikita, Claude B. Sirlin, Victoria Chernyak, et al.. (2021). Imaging Features at the Periphery: Hemodynamics, Pathophysiology, and Effect on LI-RADS Categorization. Radiographics. 41(6). 1657–1675. 11 indexed citations

Masch, William R., et al.. (2021). Imaging of treatment response during systemic therapy for hepatocellular carcinoma. Abdominal Radiology. 46(8). 3625–3633. 6 indexed citations

Shampain, Kimberly L., Anum Aslam, William R. Masch, et al.. (2021). SBRT for HCC: Overview of technique and treatment response assessment. Abdominal Radiology. 46(8). 3615–3624. 22 indexed citations

Gupta, Rajan T., Melanie P. Caserta, Kirti Magudia, et al.. (2021). Past, present, and future of abdominal radiology fellowship recruitment. Abdominal Radiology. 46(12). 5462–5465. 1 indexed citations

Sakala, Michelle D., Nicole E. Curci, William R. Masch, et al.. (2020). Radiologic-Histopathologic Correlation of Transvaginal US and Risk-reducing Salpingo-oophorectomy for Women at High Risk for Tubo-ovarian Carcinoma. Radiology Imaging Cancer. 2(6). e190086–e190086. 1 indexed citations

Mendiratta‐Lala, Mishal, William R. Masch, Kimberly L. Shampain, et al.. (2020). MRI Assessment of Hepatocellular Carcinoma after Local-Regional Therapy: A Comprehensive Review. Radiology Imaging Cancer. 2(1). e190024–e190024. 42 indexed citations

10.

Mendiratta‐Lala, Mishal, William R. Masch, Dawn Owen, et al.. (2020). Natural history of hepatocellular carcinoma after stereotactic body radiation therapy. Abdominal Radiology. 45(11). 3698–3708. 29 indexed citations

11.

Marks, Robert M., William R. Masch, & Victoria Chernyak. (2020). LI-RADS: Past, Present, and Future, From the AJR Special Series on Radiology Reporting and Data Systems. American Journal of Roentgenology. 216(2). 295–304. 26 indexed citations

12.

Masch, William R., et al.. (2018). Radiologist Quality Assurance by Nonradiologists at Tumor Board. Journal of the American College of Radiology. 15(9). 1259–1265. 12 indexed citations

13.

Masch, William R., Dania Daye, & Susanna I. Lee. (2017). MR Imaging for Incidental Adnexal Mass Characterization. Magnetic Resonance Imaging Clinics of North America. 25(3). 521–543. 15 indexed citations

14.

Masch, William R., Carolyn L. Wang, & Matthew S. Davenport. (2016). Severe allergic-like contrast reactions: epidemiology and appropriate treatment. Abdominal Radiology. 41(8). 1632–1639. 11 indexed citations

15.

Masch, William R., Aya Kamaya, Ashish P. Wasnik, & Katherine E. Maturen. (2016). Ovarian cancer mimics: how to avoid being fooled by extraovarian pelvic masses. Abdominal Radiology. 41(4). 783–793. 4 indexed citations

16.

Catalano, Onofrio A., William R. Masch, Ciprian Catana, et al.. (2016). An overview of PET/MR, focused on clinical applications. Abdominal Radiology. 42(2). 631–644. 18 indexed citations

17.

Ray, Alaka, et al.. (2016). Case 18-2016. New England Journal of Medicine. 374(24). 2378–2387.

18.

Masch, William R., James H. Ellis, Carolyn L. Wang, Richard H. Cohan, & Matthew S. Davenport. (2016). Effect of available intravenous access on accuracy and timeliness of epinephrine administration. Abdominal Radiology. 41(6). 1133–1141. 8 indexed citations

19.

Masch, William R., Page I. Wang, Thomas L. Chenevert, et al.. (2016). Comparison of Diffusion Tensor Imaging and Magnetic Resonance Perfusion Imaging in Differentiating Recurrent Brain Neoplasm From Radiation Necrosis. Academic Radiology. 23(5). 569–576. 22 indexed citations

20.

Masch, William R., Richard H. Cohan, James H. Ellis, et al.. (2016). Clinical Effectiveness of Prospectively Reported Sonographic Twinkling Artifact for the Diagnosis of Renal Calculus in Patients Without Known Urolithiasis. American Journal of Roentgenology. 206(2). 326–331. 39 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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