Fabrizio Querci

887 citations
20 papers · 615 indexed · h-index 12
Topics
Diabetes Treatment and Management (15 papers)Metabolism, Diabetes, and Cancer (13 papers)Diabetes Management and Research (6 papers)
Partner nations
ItalyAustraliaNepal

In The Last Decade

Fabrizio Querci

20 papers receiving 592 citations

Peers

Fabrizio Querci
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 525
  • Molecular Biology 255
  • Surgery 182
  • Pharmacology 123
  • Epidemiology 76
Replace Ivano Franzetti with:
Ivano Franzetti Italy
Fred Yang United States
Renee Amori United States
Ken Wilhelm United States
Andreas Brønden Denmark
Astrid Breitschaft Denmark
Nor Azmi Kamaruddin Malaysia
Masakazu Takeuchi Japan
Shizuka Kaneko Japan
Trine Saugstrup Denmark
Fabrizio Querci relative to Ivano Franzetti Italy Ivano Franzetti's profile →
Citations per field
00.5×1.6×
Ivano Franzetti · 1×
Citations per year

Countries citing papers authored by Fabrizio Querci

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Querci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Querci

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Querci. A scholar is included among the top collaborators of Fabrizio Querci 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 Fabrizio Querci. Fabrizio Querci 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 21
2 11
3 4
4 7
5 7
6 16
7 29
8 10
9 26
10 22
11 58
12 58
13 21
14 7
15 61
16 44
17 107
18 94
19 8
20
Empty sella syndrome and growth deficiency in childhood.
4

About Fabrizio Querci

Fabrizio Querci is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 615 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Metabolism, Diabetes, and Cancer (13 papers) and Diabetes Management and Research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (525 citations), Pharmacology (123 citations) and Surgery (182 citations). Fabrizio Querci has collaborated with scholars based in Italy, Australia and Nepal. Frequent co-authors include Giuseppe Derosa, Pamela Maffioli, Ivano Franzetti, Angela D’Angelo, Arrigo F.G. Cicero, Elena Fogari, Leonardina Ciccarelli, Mario N. Piccinni, Sibilla Salvadeo and Ilaria Ferrari. Their work appears in journals such as Scientific Reports, European Journal of Pharmacology 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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