Matilde Masini

10.8k citations
78 papers · 5.3k · 1 hit paper · h-index 34

Impact in

Papers in

Matilde Masini

76 papers receiving 5.2k citations

Matilde Masini's Hit Papers

Evidence of β-Cell Dedifferentiation in Human Type 2 Diabetes 2015 · 418 citations
4180+3+7Years since publication100200300400

Peers

Matilde Masini
Comparison fields: 5 of 129
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Surgery 3.1k
  • Genetics 1.7k
  • Aging 79
  • Physiology 165
Replace Ilya Gukovsky with:
Ilya Gukovsky United States
S Del Guerra Italy
Raghavendra G. Mirmira United States
Anna S. Gukovskaya United States
Lucia Rohrer Switzerland
Philip J. Bilan Canada
Fiona Oakley United Kingdom
Frederick G. Hamel United States
Akihiro Sekine Japan
Martin Merkel Germany
Matilde Masini relative to Ilya Gukovsky United States Ilya Gukovsky's profile →
Citations per field
00.5×1.5×2.2×
Ilya Gukovsky · 1×
Citations per year

Countries citing papers authored by Matilde Masini

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Masini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002489
2 2007419
3
Evidence of β-Cell Dedifferentiation in Human Type 2 Diabetes
Hit paper breakdown →
2015418
4 2005366
5 2005310
6 2012297
7 2009290
8 2004276
9 2013210
10 2013158
11 2008112
12 2012108
13 2018108
14 2013107
15 2006105
16 201993
17 199993
18 200590
19 200288
20 201586

About Matilde Masini

Matilde Masini is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Epidemiology, having authored 78 papers that have together received 5.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (47 papers), Diabetes and associated disorders (18 papers), Diabetes Management and Research (14 papers), Diet, Metabolism, and Disease (13 papers), Autophagy in Disease and Therapy (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Surgery (3.1k citations), Genetics (1.7k citations), Aging (79 citations) and Physiology (165 citations). Matilde Masini has collaborated with scholars based in Italy, Belgium and France. Frequent co-authors include Piero Marchetti, Lorella Marselli, Ugo Boggi, Marco Bugliani, R Lupi, S Del Guerra, Stefano Del Prato, Franco Mosca, Pellegrino Masiello and M. Pollera. Their work appears in journals such as Diabetes, Diabetologia, Acta Diabetologica, The Journal of Clinical Endocrinology & Metabolism and PLoS ONE.

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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