M Scarpelli

457 total citations
29 papers, 350 citations indexed

About

M Scarpelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, M Scarpelli has authored 29 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiation. Recurrent topics in M Scarpelli's work include Medical Imaging Techniques and Applications (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Prostate Cancer Treatment and Research (5 papers). M Scarpelli is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Prostate Cancer Treatment and Research (5 papers). M Scarpelli collaborates with scholars based in United States, Italy and Australia. M Scarpelli's co-authors include Harald Paganetti, Jan Schuemann, Yu-Ting Lin, Stephen J. McMahon, Rodolfo Montironi, Robert Jeraj, Scott B. Perlman, S. Sisti, Glenn Liu and Shwetal Mehta and has published in prestigious journals such as Scientific Reports, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

M Scarpelli

29 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Scarpelli United States 10 219 110 108 43 36 29 350
Linxin Guo Australia 12 276 1.3× 110 1.0× 139 1.3× 18 0.4× 73 2.0× 30 477
Chin‐Cheng Chen United States 14 272 1.2× 325 3.0× 152 1.4× 30 0.7× 39 1.1× 37 589
Tarcísio Passos Ribeiro de Campos Brazil 12 120 0.5× 179 1.6× 133 1.2× 70 1.6× 18 0.5× 79 452
Albert Mesa United States 10 306 1.4× 296 2.7× 147 1.4× 21 0.5× 21 0.6× 20 439
Matthias Röthke Germany 11 400 1.8× 62 0.6× 428 4.0× 19 0.4× 42 1.2× 20 605
Haleem G. Khan Switzerland 13 521 2.4× 160 1.5× 340 3.1× 23 0.5× 26 0.7× 24 682
Thomas Auberger Austria 12 250 1.1× 245 2.2× 143 1.3× 22 0.5× 80 2.2× 28 560
Takuya Kaminuma Japan 12 224 1.0× 96 0.9× 101 0.9× 8 0.2× 91 2.5× 36 382
Frank S. Harrington United States 12 263 1.2× 101 0.9× 102 0.9× 35 0.8× 30 0.8× 23 449
Peng Qi United States 12 241 1.1× 244 2.2× 154 1.4× 9 0.2× 33 0.9× 48 410

Countries citing papers authored by M Scarpelli

Since Specialization
Citations

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

Fields of papers citing papers by M Scarpelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Scarpelli

This figure shows the co-authorship network connecting the top 25 collaborators of M Scarpelli. A scholar is included among the top collaborators of M Scarpelli 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 M Scarpelli. M Scarpelli 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.
Scarpelli, M, et al.. (2025). Evaluating the theranostic potential of ferumoxytol when combined with radiotherapy in a mammary dual tumor mouse model. Medical Physics. 52(7). e17888–e17888. 1 indexed citations
2.
Lyle, L. Tiffany, et al.. (2024). Single institution study of the immune landscape for canine oral melanoma based on transcriptome analysis of the primary tumor. Frontiers in Veterinary Science. 10. 1285909–1285909. 1 indexed citations
3.
Scarpelli, M, et al.. (2023). Companion Animals as a Key to Success for Translating Radiation Therapy Research into the Clinic. Cancers. 15(13). 3377–3377. 4 indexed citations
4.
Chen, Peng, et al.. (2023). MRI and amino acid PET detection of whole-brain tumor burden. Frontiers in Oncology. 13. 1248249–1248249. 2 indexed citations
5.
Bergamino, Maurizio, et al.. (2023). Assessment of complementary white matter microstructural changes and grey matter atrophy in a preclinical model of Alzheimer's disease. Magnetic Resonance Imaging. 101. 57–66. 2 indexed citations
6.
Whelan, Brendan, Julianne Pollard‐Larkin, Kelly C. Paradis, et al.. (2022). Diversity and Professional Advancement in Medical Physics. Advances in Radiation Oncology. 8(1). 101057–101057. 6 indexed citations
7.
Scarpelli, M, et al.. (2022). Imaging Glioblastoma With 18F-Fluciclovine Amino Acid Positron Emission Tomography. Frontiers in Oncology. 12. 829050–829050. 6 indexed citations
8.
Scarpelli, M, et al.. (2021). Development and validation of a longitudinal soft-tissue metastatic lesion matching algorithm. Physics in Medicine and Biology. 66(15). 155017–155017. 9 indexed citations
9.
10.
Scarpelli, M, et al.. (2020). A practical method for multimodal registration and assessment of whole-brain disease burden using PET, MRI, and optical imaging. Scientific Reports. 10(1). 17324–17324. 11 indexed citations
11.
Scarpelli, M, Christopher D. Zahm, Scott B. Perlman, et al.. (2019). FLT PET/CT imaging of metastatic prostate cancer patients treated with pTVG-HP DNA vaccine and pembrolizumab. Journal for ImmunoTherapy of Cancer. 7(1). 23–23. 18 indexed citations
12.
Scarpelli, M, Murtuza Rampurwala, Jens C. Eickhoff, et al.. (2018). Pharmacodynamic study using FLT PET/CT in advanced solid malignancies treated with a sequential combination of X-82 and docetaxel. Cancer Chemotherapy and Pharmacology. 82(2). 211–219. 6 indexed citations
13.
Scarpelli, M, Urban Simončič, Scott B. Perlman, Glenn Liu, & Robert Jeraj. (2018). Dynamic 18F-FLT PET imaging of spatiotemporal changes in tumor cell proliferation and vasculature reveals the mechanistic actions of anti-angiogenic therapy. Physics in Medicine and Biology. 63(15). 155008–155008. 10 indexed citations
14.
Pintér, S., Jie Yuan, M Scarpelli, et al.. (2017). Temperature imaging with ultrasonic transmission tomography for treatment control. AIP conference proceedings. 1822. 50003–50003. 1 indexed citations
15.
Scarpelli, M, et al.. (2017). Optimal transformations leading to normal distributions of positron emission tomography standardized uptake values. Physics in Medicine and Biology. 63(3). 35021–35021. 9 indexed citations
16.
Scarpelli, M, Justine Y. Bruce, Lakeesha Carmichael, et al.. (2016). 18F-FLT PET/CT imaging in patients with advanced solid malignancies treated with axitinib on an intermittent dosing regimen. Cancer Chemotherapy and Pharmacology. 78(6). 1245–1252. 4 indexed citations
17.
Lin, Yu-Ting, Stephen J. McMahon, M Scarpelli, Harald Paganetti, & Jan Schuemann. (2014). Comparing gold nano-particle enhanced radiotherapy with protons, megavoltage photons and kilovoltage photons: a Monte Carlo simulation. Physics in Medicine and Biology. 59(24). 7675–7689. 152 indexed citations
18.
Montironi, Rodolfo, et al.. (1992). Cytologic diagnosis of non-oxyphil follicular neoplasias of the thyroid. Pathology - Research and Practice. 188(4-5). 504–509. 5 indexed citations
19.
Montironi, Rodolfo, et al.. (1989). Discrimination between follicular adenoma and follicular carcinoma of the thyroid: preoperative validity of cytometry on aspiration smears.. PubMed. 7(6). 367–74. 13 indexed citations
20.
Montironi, Rodolfo, et al.. (1987). Diabetic glomerulosclerosis: computer-aided quantitative microscopy.. PubMed. 78(1054). 219–26. 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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