Matteo Salgarello

1.5k citations
67 papers · 1.0k indexed · h-index 20
Topics
Neuroendocrine Tumor Research Advances (13 papers)Medical Imaging Techniques and Applications (11 papers)Prostate Cancer Treatment and Research (9 papers)

In The Last Decade

Matteo Salgarello

62 papers receiving 989 citations

Peers

Matteo Salgarello
Comparison fields: 5 of 81
  • Oncology 413
  • Pulmonary and Respiratory Medicine 291
  • Epidemiology 275
  • Radiology, Nuclear Medicine and Imaging 267
  • Neurology 182
Replace Chun‐Chieh Wang with:
Chun‐Chieh Wang Taiwan
Giovanna Pepe Italy
Carl W. Langberg Norway
Jergin Chen United States
Thankamma Ajithkumar United Kingdom
Jae Myoung Noh South Korea
Alexander J. Lin United States
Federico Caobelli Switzerland
Mark A. Nathan United States
P.N. Plowman United Kingdom
Matteo Salgarello relative to Chun‐Chieh Wang Taiwan Chun‐Chieh Wang's profile →
Citations per field
00.5×1.7×
Chun‐Chieh Wang · 1×
Citations per year

Countries citing papers authored by Matteo Salgarello

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Salgarello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Salgarello

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Salgarello. A scholar is included among the top collaborators of Matteo Salgarello 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 Matteo Salgarello. Matteo Salgarello 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
#WorkIndexed citations
1 0
2 3
3 0
4 2
5 11
6 26
7 6
8 7
9 14
10 7
11 17
12 15
13 32
14 1
15 1
16 45
17 12
18
[Doctors-nurses integration in paediatric onco-hematology: a cornerstone for quality of care. Report on a three years experience].
4
19 15
20 12

About Matteo Salgarello

Matteo Salgarello is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Neurology, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (13 papers), Medical Imaging Techniques and Applications (11 papers) and Prostate Cancer Treatment and Research (9 papers). The work is most often cited by research in Oncology (413 citations), Neurology (182 citations) and Radiology, Nuclear Medicine and Imaging (267 citations). Matteo Salgarello has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Filippo Alongi, Stefania Gori, Rosario Mazzola, Giuseppe Zamboni, Stefano Partelli, Andrea Lupi, Massimo Falconi, P. Zanco, Alessandro Inno and Giuseppe Bogina. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Arteriosclerosis Thrombosis and Vascular Biology.

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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