D Pometta

2.2k citations
77 papers · 1.9k indexed · h-index 21

D Pometta

76 papers receiving 1.8k citations

Peers

D Pometta
Comparison fields: 5 of 97
  • Clinical Biochemistry 460
  • Endocrinology, Diabetes and Metabolism 738
  • Biochemistry 164
  • Pharmacology 241
  • Cancer Research 201
Replace Tadashi Suehiro with:
Tadashi Suehiro Japan
Daisuke Kukidome Japan
D. J. Betteridge United Kingdom
H. Bar‐On Israel
Kazuhiro Sonoda Japan
D. Owens Ireland
Anna Montali Italy
Jay C. Jha Australia
Agata Maria Rabuazzo Italy
Bhalchandra J. Kudchodkar United States
D Pometta relative to Tadashi Suehiro Japan Tadashi Suehiro's profile →
Citations per field
00.5×1.5×2.5×
Tadashi Suehiro · 1×
Citations per year

Countries citing papers authored by D Pometta

Since Specialization
Citations

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

Fields of papers citing papers by D Pometta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D Pometta, 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 D Pometta Line = papers co-authored together D Pometta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199532
2 1995141
3 199468
4 19948
5 1993302
6 19938
7 199317
8 199120
9 199021
10 19903
11 198970
12 19889
13 19884
14
Treatment of hyperlipoproteinemia (HLP) type II A with a new phenoxy-isobuturic acid derivative, procetofen.
197910
15 19791
16
[Low HDL cholesterol in close relatives and patients with myocardial infarct].
19781
17
HDL-cholestérol abaissé chez les proches parents et les malades victimes d'infarctus du myocarde.
19781
18
[Influence of hormonal contraception on serum lipoproteins].
19781
19 196420
20
[Study of the mode of action of the biguanides].
19631

About D Pometta

D Pometta is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine, Surgery and Biochemistry, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Lipoproteins and Cardiovascular Health (25 papers), Cancer, Lipids, and Metabolism (18 papers), Lipid metabolism and disorders (11 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Cardiovascular Function and Risk Factors (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Clinical Biochemistry (460 citations), Endocrinology, Diabetes and Metabolism (738 citations), Biochemistry (164 citations), Pharmacology (241 citations) and Cancer Research (201 citations). D Pometta has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Richard W. James, Francisco Barja, D Hochstrasser, P. Fumelli, Massimo Boemi, Caroline A. Abbott, M. Mackness, Paul N. Durrington, Amanda Proudfoot and E. H. Kass. Their work appears in journals such as Atherosclerosis, Diabetologia, Journal of Lipid Research, European Journal of Clinical Investigation and The Lancet.

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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