M Scanarini

633 citations
14 papers · 505 · h-index 10

Impact in

Papers in

M Scanarini

14 papers receiving 491 citations

Peers

M Scanarini
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 341
  • Genetics 80
  • Neurology 76
  • Epidemiology 141
  • Cancer Research 44
Replace Inês Donangelo with:
Inês Donangelo United States
Hanna Pisarek Poland
N Sanno Japan
G. Viennet France
María A. Gálvez Spain
Laurie A. Kane United States
Susana Igreja United Kingdom
Mari C. Vázquez‐Borrego Spain
Patricia Vergani United Kingdom
G. Penz Canada
M Scanarini relative to Inês Donangelo United States Inês Donangelo's profile →
Citations per field
00.5×1.5×2.4×
Inês Donangelo · 1×
Citations per year

Countries citing papers authored by M Scanarini

Since Specialization
Citations

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

Fields of papers citing papers by M Scanarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Scanarini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Scanarini Line = papers co-authored together M Scanarini links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1994151
2 1993116
3 200543
4 200742
5 201039
6 201136
7 199126
8 200715
9 199513
10
An electron microscope study of human arachnoid villi.
198012
11
Clinical, histological and ultrastructural observations upon the oncocytoma of the human pituitary gland.
19768
12
[Oligodendrogliomas: anatomo-clinical study (author's transl)].
19782
13 19791
14
Partial complex seizures: a corticographic and ultrastructural study.
19801

About M Scanarini

M Scanarini is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Pediatrics, Perinatology and Child Health and Surgery, having authored 14 papers that have together received 505 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Neuroendocrine Tumor Research Advances (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Vitamin K Research Studies (1 paper), Toxoplasma gondii Research Studies (1 paper), Epilepsy research and treatment (1 paper) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (341 citations), Genetics (80 citations), Neurology (76 citations), Epidemiology (141 citations) and Cancer Research (44 citations). M Scanarini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Richard N. Clayton, Marco Boscaro, Rajesh V. Thakker, Mark A. Pook, C Wooding, Matteo Pistorello, Philip G. McTernan, S Jenkinson, C. W. Perrett and M. Boggild. Their work appears in journals such as Journal of Neuroendocrinology, Carcinogenesis, Neurosurgery, European Psychiatry and Journal of Clinical Investigation.

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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