M Scanarini

644 citations
13 papers · 561 · h-index 10

Impact in

Papers in

M Scanarini

13 papers receiving 516 citations

Peers

M Scanarini
Comparison fields: 5 of 39
  • Endocrinology, Diabetes and Metabolism 422
  • Epidemiology 86
  • Behavioral Neuroscience 7
  • Neurology 13
  • Cellular and Molecular Neuroscience 14
Replace Alfonso Leal with:
Alfonso Leal Spain
O Zwermann Germany
Nina N’Diaye Canada
Hongdong Zhu Australia
V. Bex-Bachellerie France
DANIELA DALLABONZANA Italy
R. D. G. Leslie United Kingdom
JERZY KOSOWICZ Poland
Heraldo Mendes Garmes Brazil
Mirella Moro Italy
M Scanarini relative to Alfonso Leal Spain Alfonso Leal's profile →
Citations per field
00.5×2×2.8×
Alfonso Leal · 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

13 of 13 papers shown
#Work
1 1994174
2 1993131
3 200745
4 200544
5 201143
6 201041
7 199130
8
An electron microscope study of human arachnoid villi.
198016
9 200714
10 199512
11
Clinical, histological and ultrastructural observations upon the oncocytoma of the human pituitary gland.
19769
12 19791
13
Partial complex seizures: a corticographic and ultrastructural study.
19801

About M Scanarini

M Scanarini is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Pharmacology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 13 papers that have together received 561 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Epilepsy research and treatment (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Electrolyte and hormonal disorders (1 paper), Fungal Infections and Studies (1 paper), Stress Responses and Cortisol (1 paper) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (422 citations), Epidemiology (86 citations), Behavioral Neuroscience (7 citations), Neurology (13 citations) and Cellular and Molecular Neuroscience (14 citations). M Scanarini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Marco Boscaro, Richard N. Clayton, Rajesh V. Thakker, Carol Wooding, Mark A. Pook, C. W. Perrett, Matteo Pistorello, Philip G. McTernan, M. Boggild and Carla Maria Scaroni. Their work appears in journals such as Journal of Neuroendocrinology, Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism, Carcinogenesis and Neurosurgery.

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.

Explore authors with similar magnitude of impact