Arianna Mazzoli

1.5k citations
46 papers · 1.2k indexed · h-index 23
Topics
Diet, Metabolism, and Disease (26 papers)Diet and metabolism studies (23 papers)Liver Disease Diagnosis and Treatment (19 papers)
Partner nations
ItalySwedenSwitzerland

In The Last Decade

Arianna Mazzoli

43 papers receiving 1.2k citations

Peers

Arianna Mazzoli
Comparison fields: 5 of 110
  • Physiology 538
  • Endocrinology, Diabetes and Metabolism 486
  • Molecular Biology 425
  • Epidemiology 385
  • Nutrition and Dietetics 119
Replace Cheng Jun Jin with:
Cheng Jun Jin Germany
Kelly Korzeniewski United States
Aycha Bleeker Netherlands
Medha Priyadarshini United States
Laura A. Velázquez‐Villegas Mexico
Giridhar Kanuri Germany
Raffaella Crescenzo Italy
Mercedes Clemente‐Postigo Spain
Eric M. Desjardins Canada
Jane Fearnside United Kingdom
Arianna Mazzoli relative to Cheng Jun Jin Germany Cheng Jun Jin's profile →
Citations per field
00.5×1.5×1.9×
Cheng Jun Jin · 1×
Citations per year

Countries citing papers authored by Arianna Mazzoli

Since Specialization
Citations

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

Fields of papers citing papers by Arianna Mazzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arianna Mazzoli

This figure shows the co-authorship network connecting the top 25 collaborators of Arianna Mazzoli. A scholar is included among the top collaborators of Arianna Mazzoli 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 Arianna Mazzoli. Arianna Mazzoli 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 0
2 0
3 1
4 1
5 2
6 12
7 11
8 0
9 4
10 13
11 10
12 9
13 27
14 6
15 5
16 30
17 70
18 66
19 46
20 41

About Arianna Mazzoli

Arianna Mazzoli is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Biological Psychiatry, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (26 papers), Diet and metabolism studies (23 papers) and Liver Disease Diagnosis and Treatment (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (486 citations), Physiology (538 citations) and Biological Psychiatry (37 citations). Arianna Mazzoli has collaborated with scholars based in Italy, Sweden and Switzerland. Frequent co-authors include Susanna Iossa, Raffaella Crescenzo, Giovanna Liverini, Luisa Cigliano, Francesca Bianco, Rosa Cancelliere, Antonia Giacco, Maria Stefania Spagnuolo, Loredana Baccigalupi and Paola Coppola. Their work appears in journals such as PLoS ONE, Cell Metabolism and Scientific Reports.

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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