Davide Masi

995 citations
37 papers · 534 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

Davide Masi

33 papers receiving 529 citations

Peers

Davide Masi
Comparison fields: 5 of 92
  • Infectious Diseases 172
  • Physiology 103
  • Endocrinology, Diabetes and Metabolism 65
  • Health 24
  • Geriatrics and Gerontology 9
Replace Elena Gangitano with:
Elena Gangitano Italy
Angela Balena Italy
Renata Risi Italy
Lara Sánchez‐Trujillo Spain
Alessandra Caputi Italy
Shu‐Jung Liu Taiwan
Д. А. Каштанова Russia
Abhinav Vepa United Kingdom
Ilias Attaye Netherlands
Leslie Copstein Canada
Davide Masi relative to Elena Gangitano Italy Elena Gangitano's profile →
Citations per field
00.5×2.9×
Elena Gangitano · 1×
Citations per year

Countries citing papers authored by Davide Masi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021192
2 202064
3 202233
4 202232
5 202229
6 202228
7 202023
8 202317
9 202314
10 202413
11 202012
12 202212
13 202211
14 20238
15 20227
16 20255
17 20244
18 20224
19 20253
20 20233

About Davide Masi

Davide Masi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Infectious Diseases, having authored 37 papers that have together received 534 indexed citations. Recurring topics across this work include Diet and metabolism studies (13 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Gut microbiota and health (4 papers), Bariatric Surgery and Outcomes (4 papers), Diabetes and associated disorders (3 papers), Diabetes Treatment and Management (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (172 citations), Physiology (103 citations), Endocrinology, Diabetes and Metabolism (65 citations), Health (24 citations) and Geriatrics and Gerontology (9 citations). Davide Masi has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Mikiko Watanabe, Lucio Gnessi, Carla Lubrano, Stefania Mariani, Renata Risi, Angela Balena, Rossella Tozzi, Alessandra Caputi, Silvia Manfrini and Rebecca Rossetti. Their work appears in journals such as Nutrients, Diabetes/Metabolism Research and Reviews, Cardiovascular Diabetology, Journal of Clinical Medicine and Diabetes Obesity and Metabolism.

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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