Silvia Iannello

620 citations
20 papers · 486 indexed · h-index 10

Silvia Iannello

20 papers receiving 463 citations

Peers

Silvia Iannello
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 212
  • Molecular Biology 148
  • Physiology 108
  • Epidemiology 106
  • Surgery 91
Replace M. Querena with:
M. Querena Italy
Elisabeth Hjøllund Denmark
C. Seifarth Germany
Małgorzata Gietka‐Czernel Poland
Marleen Daris Canada
A. E. Pontiroli Italy
Chih‐Tsueng He Taiwan
Morten Beck Sørensen Denmark
Asuka Hino Japan
B.L. Wajchenberg Brazil
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Citations per field
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M. Querena · 1×
Citations per year

Countries citing papers authored by Silvia Iannello

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Iannello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Iannello

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Iannello. A scholar is included among the top collaborators of Silvia Iannello 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 Silvia Iannello. Silvia Iannello 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 35
2
Effect of in vitro glucose and diabetic hyperglycemia on mouse kidney protein synthesis: relevance to diabetic microangiopathy.
5
3 11
4
Low fasting serum triglyceride level as a precocious marker of autoimmune disorders.
21
5
A clinical variant of familial Hermansky-Pudlak syndrome.
4
6
Low fasting serum triglyceride and high free fatty acid levels in pulmonary fibrosis: a previously unreported finding.
10
7 39
8 1
9 6
10 19
11 216
12 65
13 6
14 4
15 4
16 19
17 4
18 12
19 3
20 2

About Silvia Iannello

Silvia Iannello is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 20 papers that have together received 486 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (212 citations), Endocrine and Autonomic Systems (33 citations) and Physiology (108 citations). Silvia Iannello has collaborated with scholars based in Italy. Frequent co-authors include Francesco Belfiore, Francesco Romeo, Agata Maria Rabuazzo, Paolo Bosco, Vito Borzı̀, Sergio Castorina, Giuseppe Maria Andreozzi and Romeo Martini. Their work appears in journals such as Metabolism, The American Journal of the Medical Sciences and European Journal of Clinical Investigation.

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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