M. Masin

723 citations
18 papers · 439 indexed · h-index 12

Impact in

Papers in

M. Masin

16 papers receiving 424 citations

Peers

M. Masin
Comparison fields: 5 of 48
  • Obstetrics and Gynecology 350
  • Endocrinology, Diabetes and Metabolism 155
  • Pediatrics, Perinatology and Child Health 108
  • Surgery 167
  • Genetics 57
Replace Katharine P. Stanley with:
Katharine P. Stanley United Kingdom
Ilaria Cuccuru Italy
Jiying Wen China
M. Sorger Germany
Hilary Roeder United States
Baz Baz France
Raffaella Vero Italy
Alessandra Ghio Italy
P Aula Finland
John Punnose United Arab Emirates
M. Masin relative to Katharine P. Stanley United Kingdom Katharine P. Stanley's profile →
Citations per field
00.5×
Katharine P. Stanley · 1×
Citations per year

Countries citing papers authored by M. Masin

Since Specialization
Citations

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

Fields of papers citing papers by M. Masin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Masin, 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. Masin Line = papers co-authored together M. Masin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20140
2 20131
3 201211
4
Analysis of pregnancies after new IADPSG recommendation
20101
5 201016
6 20102
7 200733
8 200745
9 200634
10 2006113
11 200536
12
La terapia dietetica nella gravidanza diabetica
20051
13 200342
14 200217
15
Antepartum and early postpartum predictors of type 2 diabetes development in women with gestational diabetes mellitus.
200156
16 200011
17
A study on lymphocyte subpopulation in diabetic mothers at delivery and in their newborn.
199920
18
LIPID PATTERNS IN CERVICAL AND VAGINAL CELLS UNDER HORMONAL STIMULUS.
19960

About M. Masin

M. Masin is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Pharmacy and Genetics, having authored 18 papers that have together received 439 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (9 papers), Diabetes Management and Research (5 papers), Diabetes and associated disorders (4 papers), Birth, Development, and Health (4 papers), Pregnancy and preeclampsia studies (3 papers), Bariatric Surgery and Outcomes (3 papers), Pancreatic function and diabetes (3 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Obstetrics and Gynecology (350 citations), Endocrinology, Diabetes and Metabolism (155 citations), Pediatrics, Perinatology and Child Health (108 citations), Surgery (167 citations) and Genetics (57 citations). M. Masin has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Domenico Fedele, Annunziata Lapolla, Maria Grazia Dalfrà, Beatrice Dalla Barba, Mario Plebani, Marco Songini, Andrea Mosca, Renata Paleari, Graziano Di Cianni and M. Castiglioni. Their work appears in journals such as Acta Diabetologica, Clinical Chemistry, Diabetologia, Annals of the New York Academy of Sciences and Cytokine.

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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