P Cecchetti

970 citations
46 papers · 668 · h-index 16

Impact in

Papers in

P Cecchetti

43 papers receiving 620 citations

Peers

P Cecchetti
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 243
  • Physiology 50
  • Endocrine and Autonomic Systems 51
  • Physiology 149
  • Clinical Biochemistry 37
Replace Maria Helena Catelli de Carvalho with:
Maria Helena Catelli de Carvalho Brazil
Jun Song China
Curtis K. Kost United States
Audrey Ayer France
Zaiming Luo United States
Sang Yong Ji United States
N. Wiernsperger France
H. Meyer-Lehnert Germany
Alessio Metere Italy
Yuichi Hamada Japan
P Cecchetti relative to Maria Helena Catelli de Carvalho Brazil Maria Helena Catelli de Carvalho's profile →
Citations per field
00.5×3.6×
Maria Helena Catelli de Carvalho · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197871
2 200055
3 198637
4 198637
5 197537
6 200535
7 199034
8 199833
9 198632
10 198727
11 199419
12 197518
13 200218
14 198717
15 197915
16
Diurnal pattern of plasma metformin concentrations and its relation to metabolic effects in type 2 (non-insulin-dependent) diabetic patients.
199015
17 198614
18 198814
19
Effects of metformin therapy on plasma amino acid pattern in patients with maturity-onset diabetes.
198913
20 199412

About P Cecchetti

P Cecchetti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Surgery and Epidemiology, having authored 46 papers that have together received 668 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Diabetes Management and Research (9 papers), Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adenosine and Purinergic Signaling (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (243 citations), Physiology (50 citations), Endocrine and Autonomic Systems (51 citations), Physiology (149 citations) and Clinical Biochemistry (37 citations). P Cecchetti has collaborated with scholars based in Italy, United States and China. 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, Diabetes Research and Clinical Practice 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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