P Cecchetti

968 citations
45 papers · 626 indexed · h-index 15

Impact in

Papers in

P Cecchetti

43 papers receiving 590 citations

Peers

P Cecchetti
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 259
  • Physiology 49
  • Endocrine and Autonomic Systems 55
  • Physiology 160
  • Clinical Biochemistry 40
Replace Naotaka Sekiguchi with:
Naotaka Sekiguchi Japan
A. Buongiorno Italy
Maria Helena Catelli de Carvalho Brazil
Jun Song China
Curtis K. Kost United States
Anna Konior Poland
Ann-Maree Duncan Australia
N. Wiernsperger France
Andrei I. Oprescu Canada
P Cecchetti relative to Naotaka Sekiguchi Japan Naotaka Sekiguchi's profile →
Citations per field
00.5×3.3×
Naotaka Sekiguchi · 1×
Citations per year

Countries citing papers authored by P Cecchetti

Since Specialization
Citations

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

Fields of papers citing papers by P Cecchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P Cecchetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P Cecchetti Line = papers co-authored together P Cecchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197868
2 200053
3 198636
4 198635
5 200534
6 199832
7 199032
8 198631
9 198726
10 197525
11 199419
12 197518
13 200217
14 198717
15 198814
16 198614
17
Diurnal pattern of plasma metformin concentrations and its relation to metabolic effects in type 2 (non-insulin-dependent) diabetic patients.
199014
18 199412
19
Effects of metformin therapy on plasma amino acid pattern in patients with maturity-onset diabetes.
198911
20 197911

About P Cecchetti

P Cecchetti is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Endocrine and Autonomic Systems, Clinical Biochemistry and Nephrology, having authored 45 papers that have together received 626 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Diabetes Management and Research (9 papers), Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (7 papers), Receptor Mechanisms and Signaling (4 papers), Diabetes and associated disorders (4 papers), Diet and metabolism studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Physiology (49 citations), Endocrine and Autonomic Systems (55 citations), Physiology (160 citations) and Clinical Biochemistry (40 citations). P Cecchetti has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Renzo Navalesi, Luca Benzi, Piero Marchetti, A Masoni, A Pilo, Graziano Di Cianni, Eleuterio Ferrannini, R Giannarelli, Riccardo Vigneri and A. M. Ciccarone. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, Acta Diabetologica, Metabolism and Diabetes Research and Clinical Practice.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026