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

M Scarpelli
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 219
  • Radiation 110
  • Radiology, Nuclear Medicine and Imaging 108
  • Materials Chemistry 43
  • Oncology 36
Linxin Guo Australia
Chin‐Cheng Chen United States
Tarcísio Passos Ribeiro de Campos Brazil
Albert Mesa United States
Matthias Röthke Germany
Haleem G. Khan Switzerland
Thomas Auberger Austria
Takuya Kaminuma Japan
Frank S. Harrington United States
Peng Qi United States
Linxin Guo Australia View profile →
Citations per field, relative to M Scarpelli
M Scarpelli · 1×
Citations per year, relative to M Scarpelli
M Scarpelli · 1×

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
# Work Indexed citations
1 1
2 1
3 4
4 2
5 2
6 6
7 6
8 9
9 3
10 11
11 18
12 6
13 10
14 1
15 9
16 4
17 152
18 5
19
Discrimination between follicular adenoma and follicular carcinoma of the thyroid: preoperative validity of cytometry on aspiration smears.
13
20
Diabetic glomerulosclerosis: computer-aided quantitative microscopy.
1

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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