Mario Maioli

2.1k citations
34 papers · 1.6k indexed · h-index 17
Topics
Diabetes and associated disorders (7 papers)Lipoproteins and Cardiovascular Health (6 papers)Diabetes Management and Research (5 papers)
Partner nations
ItalyUnited StatesSweden

In The Last Decade

Mario Maioli

33 papers receiving 1.5k citations

Peers

Mario Maioli
Comparison fields: 5 of 94
  • Surgery 658
  • Endocrinology, Diabetes and Metabolism 429
  • Cardiology and Cardiovascular Medicine 333
  • Molecular Biology 299
  • Cancer Research 223
Replace Silvia Pinach with:
Silvia Pinach Italy
Martin Kömhoff Germany
Francesca Pizzolo Italy
Dulcenombre Gómez‐Garré Spain
Joep H.M. van Esch Netherlands
Giulio R. Romeo United States
Christiane Viedt Germany
Sumant S. Chugh United States
Livia Pisciotta Italy
Joseph Zimpelmann Canada
Mario Maioli relative to Silvia Pinach Italy Silvia Pinach's profile →
Citations per field
00.5×1.5×1.9×
Silvia Pinach · 1×
Citations per year

Countries citing papers authored by Mario Maioli

Since Specialization
Citations

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

Fields of papers citing papers by Mario Maioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Maioli

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Maioli. A scholar is included among the top collaborators of Mario Maioli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Maioli. Mario Maioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 56
3 10
4 7
5 14
6 47
7 4
8 118
9 8
10 33
11 54
12 29
13 179
14 20
15 5
16 46
17 7
18 125
19 21
20 61

About Mario Maioli

Mario Maioli is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Biochemistry, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (429 citations), Nephrology (147 citations) and Obstetrics and Gynecology (145 citations). Mario Maioli has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Giancarlo Tonolo, P. Brizzi, R. Fellin, Helen H. Hobbs, S. Calandra, Kenneth R. Wilund, Fausto Cossu, Marcello Arca, Stefano Bertolini and Jonathan C. Cohen. Their work appears in journals such as Science, The Lancet and The Journal of Clinical Endocrinology & 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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