F. Saccomanno

29 papers receiving 1.3k citations

Peers

F. Saccomanno
Comparison fields: 5 of 99
  • Physiology 567
  • Endocrinology, Diabetes and Metabolism 553
  • Molecular Biology 327
  • Public Health, Environmental and Occupational Health 299
  • Surgery 193
Replace L. Patti with:
L. Patti Italy
G M Reaven United States
Yasuko Hori Japan
Jessica Cronin United States
C.J. Packard United Kingdom
JP Després Canada
Ginger Hook United States
Tsutomu Kazumi Japan
Virginia Fernández Chile
Annamaria Prioletta Italy
F. Saccomanno relative to L. Patti Italy L. Patti's profile →
Citations per field
00.5×1.5×
L. Patti · 1×
Citations per year

Countries citing papers authored by F. Saccomanno

Since Specialization
Citations

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

Fields of papers citing papers by F. Saccomanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Saccomanno

This figure shows the co-authorship network connecting the top 25 collaborators of F. Saccomanno. A scholar is included among the top collaborators of F. Saccomanno 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 F. Saccomanno. F. Saccomanno 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 58
2 106
3 47
4 313
5 135
6 57
7 81
8 71
9 7
10 27
11
Lisinopril administration improves insulin action in aged patients with hypertension.
19
12 124
13 110
14
Is a family history of diabetes associated with an increased level of cardiovascular risk factors? Studies in healthy people and in subjects with different degree of glucose intolerance.
5
15 9
16
[Clinical efficacy of nimesulide compared to diclofenac sodium in the prevention and treatment of postoperative pain-inflammation symptomatology].
9
17 1
18
Glycosaminoglycans in human diabetes.
15
19 37
20
Bumetanide and glucose tolerance in man.
10

About F. Saccomanno

F. Saccomanno is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Pharmacology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Pharmacology and Obesity Treatment (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (553 citations), Physiology (567 citations) and Biochemistry (89 citations). F. Saccomanno has collaborated with scholars based in Italy, United Kingdom and Czechia. Frequent co-authors include Dario Giugliano, Antonio Ceriello, Katherine Esposito, Miryam Ciotola, Giuseppe Paolisso, Maria Ida Maiorino, Michela Petrizzo, Carmen Di Palo, Maurizio Gicchino and Paola Scognamiglio. Their work appears in journals such as Annals of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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