M Scafuro

652 citations
15 papers · 547 indexed · h-index 10
Topics
Pain Mechanisms and Treatments (4 papers)Neuroscience and Neuropharmacology Research (4 papers)Cannabis and Cannabinoid Research (3 papers)

In The Last Decade

M Scafuro

14 papers receiving 533 citations

Peers

M Scafuro
Comparison fields: 5 of 77
  • Physiology 231
  • Cellular and Molecular Neuroscience 206
  • Pharmacology 198
  • Molecular Biology 120
  • Surgery 54
Replace Woong Mo Kim with:
Woong Mo Kim South Korea
Cosimo Massafra Italy
Flavia Ricciardi Italy
Patrizia Blardi Italy
Roger Negrete Spain
Chihiro Kaneko Japan
Nazdar Ghafouri Sweden
Ana Elisa Böhmer Brazil
Serafim Guimarães Portugal
Stephen Butler Sweden
M Scafuro relative to Woong Mo Kim South Korea Woong Mo Kim's profile →
Citations per field
00.5×1.6×
Woong Mo Kim · 1×
Citations per year

Countries citing papers authored by M Scafuro

Since Specialization
Citations

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

Fields of papers citing papers by M Scafuro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Scafuro

This figure shows the co-authorship network connecting the top 25 collaborators of M Scafuro. A scholar is included among the top collaborators of M Scafuro 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 Scafuro. M Scafuro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 46
2 56
3 39
4 9
5 100
6 68
7
Sufentanil-propofol vs remifentanil-propofol during total intravenous anesthesia for neurosurgery. A multicentre study.
21
8 51
9 62
10 4
11 29
12 59
13
Derivatives of 4,5,6,7-tetrahydro-7,8,8-trimethyl-3-phenylamino-4,7-methano-2H-ind azo le with hypotensive and hypoglycemic activities. II.
0
14 2
15 1

About M Scafuro

M Scafuro is a scholar working on Applied Microbiology and Biotechnology, Anesthesiology and Pain Medicine and Toxicology, having authored 15 papers that have together received 547 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Pharmacology (198 citations), Cellular and Molecular Neuroscience (206 citations) and Complementary and Manual Therapy (20 citations). M Scafuro has collaborated with scholars based in Italy, United Kingdom and Czechia. Frequent co-authors include Sabatino Maione, Vito de Novellis, Enza Palazzo, Francesca Rossi, Ida Marabese, Livio Luongo, C Luongo, Daniela De Vita, Serena Boccella and Francesco Rossi. Their work appears in journals such as Pain, Neuroscience and Critical Care Medicine.

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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