Victorine V. Muse

1.5k total citations
35 papers, 890 citations indexed

About

Victorine V. Muse is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Victorine V. Muse has authored 35 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Surgery. Recurrent topics in Victorine V. Muse's work include Lung Cancer Diagnosis and Treatment (7 papers), Radiology practices and education (6 papers) and Medical Imaging Techniques and Applications (5 papers). Victorine V. Muse is often cited by papers focused on Lung Cancer Diagnosis and Treatment (7 papers), Radiology practices and education (6 papers) and Medical Imaging Techniques and Applications (5 papers). Victorine V. Muse collaborates with scholars based in United States, Thailand and Norway. Victorine V. Muse's co-authors include Subba R. Digumarthy, Mannudeep K. Kalra, Jo-Anne O. Shepard, Amita Sharma, Ramandeep Singh, Matthew D. Gilman, Michael A. Blake, Yiemeng Hoi, Rachna Madan and Eugene J. Mark and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Victorine V. Muse

33 papers receiving 868 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victorine V. Muse United States 17 500 399 200 81 76 35 890
Kwang Nam Jin South Korea 21 473 0.9× 449 1.1× 186 0.9× 46 0.6× 199 2.6× 80 1.0k
Jeremy R. Burt United States 15 532 1.1× 216 0.5× 169 0.8× 46 0.6× 143 1.9× 69 952
Arlene Sirajuddin United States 21 549 1.1× 338 0.8× 82 0.4× 73 0.9× 167 2.2× 71 1.4k
Elizabeth Le United Kingdom 13 483 1.0× 225 0.6× 199 1.0× 40 0.5× 118 1.6× 24 826
Ramandeep Singh United States 17 844 1.7× 311 0.8× 481 2.4× 41 0.5× 65 0.9× 54 1.1k
Christian Blüthgen Switzerland 15 320 0.6× 180 0.5× 156 0.8× 26 0.3× 55 0.7× 38 565
Katharina Martini Switzerland 22 955 1.9× 393 1.0× 714 3.6× 47 0.6× 91 1.2× 78 1.3k
Joshy Cyriac Switzerland 11 496 1.0× 131 0.3× 271 1.4× 52 0.6× 123 1.6× 22 789
Simone Schiaffino Italy 19 595 1.2× 310 0.8× 85 0.4× 169 2.1× 127 1.7× 76 1.1k
Florian Prayer Austria 11 413 0.8× 240 0.6× 127 0.6× 43 0.5× 51 0.7× 36 646

Countries citing papers authored by Victorine V. Muse

Since Specialization
Citations

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

Fields of papers citing papers by Victorine V. Muse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victorine V. Muse. 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 Victorine V. Muse. The network helps show where Victorine V. Muse may publish in the future.

Co-authorship network of co-authors of Victorine V. Muse

This figure shows the co-authorship network connecting the top 25 collaborators of Victorine V. Muse. A scholar is included among the top collaborators of Victorine V. Muse 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 Victorine V. Muse. Victorine V. Muse 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.
Hillis, James, Sarah Mercaldo, Subba R. Digumarthy, et al.. (2024). The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs. Journal of the American College of Radiology. 22(2). 220–229. 1 indexed citations
2.
Homayounieh, Fatemeh, Andrew N. Primak, Victorine V. Muse, et al.. (2023). Correlation of Radiomics with Treatment Response in Liver Metastases. Academic Radiology. 31(8). 3133–3141. 1 indexed citations
3.
Muse, Victorine V., et al.. (2021). Case 35-2021: A 50-Year-Old Woman with Pain in the Left Upper Quadrant and Hypoxemia. New England Journal of Medicine. 385(21). 1995–2001.
4.
Mattison, Melissa L. P., et al.. (2018). Case 15-2018: An 83-Year-Old Woman with Nausea, Vomiting, and Confusion. New England Journal of Medicine. 378(20). 1931–1938.
5.
Singh, Ramandeep, Mannudeep K. Kalra, Chayanin Nitiwarangkul, et al.. (2018). Deep learning in chest radiography: Detection of findings and presence of change. PLoS ONE. 13(10). e0204155–e0204155. 143 indexed citations
6.
Hochberg, Ephraim P., Michael F. Bierer, Karen M. Winkfield, et al.. (2017). Case 11-2017 — A 61-Year-Old Woman with Leg Swelling, Back Pain, and Hydronephrosis. New England Journal of Medicine. 376(15). 1461–1471. 1 indexed citations
7.
Catana, Ciprian, Jeremy S. Abramson, Grae Arabasz, et al.. (2016). Hybrid FDG-PET/MR compared to FDG-PET/CT in adult lymphoma patients. Abdominal Radiology. 41(7). 1338–1348. 36 indexed citations
8.
Fintelmann, Florian J., Adam Bernheim, Subba R. Digumarthy, et al.. (2015). The 10 Pillars of Lung Cancer Screening: Rationale and Logistics of a Lung Cancer Screening Program. Radiographics. 35(7). 1893–1908. 73 indexed citations
9.
Petranović, Milena, Matthew D. Gilman, Ashok Muniappan, et al.. (2015). Diagnostic Yield of CT-Guided Percutaneous Transthoracic Needle Biopsy for Diagnosis of Anterior Mediastinal Masses. American Journal of Roentgenology. 205(4). 774–779. 47 indexed citations
10.
Hunt, Daniel, Victorine V. Muse, & Martha B. Pitman. (2013). Case 12-2013. New England Journal of Medicine. 368(16). 1537–1545. 11 indexed citations
11.
Ray, Alaka, Victorine V. Muse, & Daniel F. Boyer. (2013). Case 38-2013. New England Journal of Medicine. 369(24). 2333–2343. 6 indexed citations
12.
Muzykewicz, David A., Victorine V. Muse, Adam L. Numis, et al.. (2012). Multifocal Micronodular Pneumocyte Hyperplasia. Journal of Computer Assisted Tomography. 36(5). 518–522. 23 indexed citations
13.
Cronin, Carmel G., Amita Sharma, Subba R. Digumarthy, et al.. (2011). Percutaneous Lung Biopsy After Pneumonectomy: Factors for Improving Success in the Care of Patients at High Risk. American Journal of Roentgenology. 196(4). 929–934. 9 indexed citations
14.
Busse, Paul M., John R. Clark, Victorine V. Muse, & Vincent Liu. (2008). Case 19-2008. New England Journal of Medicine. 358(25). 2717–2723. 18 indexed citations
15.
Wiener, Charles, Victorine V. Muse, & Eugene J. Mark. (2008). Case 33-2008. New England Journal of Medicine. 359(17). 1823–1832. 16 indexed citations
16.
Murali, Mandakolathur R., et al.. (2007). Case 25-2007. New England Journal of Medicine. 357(7). 692–701. 1 indexed citations
17.
Scadden, David T., Victorine V. Muse, & Robert P. Hasserjian. (2006). Case 30-2006. New England Journal of Medicine. 355(13). 1358–1368. 4 indexed citations
18.
Aquino, Suzanne L., et al.. (2006). Accuracy of transmission CT and FDG-PET in the detection of small pulmonary nodules with integrated PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 33(6). 692–696. 39 indexed citations
19.
Malhotra, Atul, Victorine V. Muse, & Eugene J. Mark. (2003). Case 12-2003. New England Journal of Medicine. 348(16). 1574–1585. 30 indexed citations
20.
Gale, D., et al.. (2000). An Automated PACS Workstation Interface. American Journal of Roentgenology. 174(1). 33–36. 22 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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