Elisabetta Iori

2.4k total citations
73 papers, 1.9k citations indexed

About

Elisabetta Iori is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Elisabetta Iori has authored 73 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Physiology and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Elisabetta Iori's work include Pancreatic function and diabetes (13 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diet and metabolism studies (8 papers). Elisabetta Iori is often cited by papers focused on Pancreatic function and diabetes (13 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diet and metabolism studies (8 papers). Elisabetta Iori collaborates with scholars based in Italy, Sweden and United States. Elisabetta Iori's co-authors include Angelo Avogaro, Paolo Tessari, Maria Cristina Marescotti, Gian Paolo Fadini, Antonio Tiengo, Mattia Albiero, E. Gordon Murphy, Giulio Ceolotto, Monica Vedovato and Renato Millioni and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Elisabetta Iori

72 papers receiving 1.9k citations

Peers

Elisabetta Iori
Comparison fields: 5 of 113
  • Molecular Biology 732
  • Endocrinology, Diabetes and Metabolism 609
  • Physiology 490
  • Surgery 297
  • Cell Biology 233
Replace Masato Tawata with:
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Yukichi Okuda Japan
Doina Popov Romania
Francesc González‐Sastre Spain
E. Schleicher Germany
F. Umeda Japan
Kirti Kaul United States
Daisuke Kukidome Japan
Jian‐Kang Chen United States
Vijayakumar Sukumaran Japan
Masato Tawata Japan View profile →
Citations per field, relative to Elisabetta Iori
Elisabetta Iori · 1×
Citations per year, relative to Elisabetta Iori
Elisabetta Iori · 1×

Countries citing papers authored by Elisabetta Iori

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Iori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Iori

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Iori. A scholar is included among the top collaborators of Elisabetta Iori 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 Elisabetta Iori. Elisabetta Iori 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
# Work Indexed citations
1 2
2 0
3 5
4 6
5 19
6 2
7 18
8 12
9 33
10 46
11 12
12 20
13 6
14 19
15 4
16 87
17 9
18 9
19 7
20 46

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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