D Pometta

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

Impact in

Papers in

D Pometta

76 papers receiving 1.8k citations

Peers

D Pometta
Comparison fields: 5 of 94
  • Clinical Biochemistry 452
  • Endocrinology, Diabetes and Metabolism 668
  • Biochemistry 133
  • Cancer Research 181
  • Cardiology and Cardiovascular Medicine 260
Replace Tadashi Suehiro with:
Tadashi Suehiro Japan
Elisabet Vilella Spain
M. Navab United States
D. J. Betteridge United Kingdom
Aino Soro‐Paavonen Finland
H. Bar‐On Israel
D. Owens Ireland
Daisuke Kukidome Japan
I. Serés Hungary
Shlomo Keidar Israel
D Pometta relative to Tadashi Suehiro Japan Tadashi Suehiro's profile →
Citations per field
00.5×3.1×
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-authors

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

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993303
2 1995141
3 1994117
4 1988103
5 198893
6 198191
7 199090
8 198970
9 199467
10 199164
11 199157
12 197851
13 196750
14 198946
15 199343
16 198340
17 199532
18 197926
19 198022
20 199021

About D Pometta

D Pometta is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Cardiology and Cardiovascular Medicine and Epidemiology, 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 (24 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), Diabetes Management and Research (3 papers) and Clusterin in disease pathology (3 papers). The work is most often cited by research in Clinical Biochemistry (452 citations), Endocrinology, Diabetes and Metabolism (668 citations), Biochemistry (133 citations), Cancer Research (181 citations) and Cardiology and Cardiovascular Medicine (260 citations). D Pometta has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Richard W. James, Francisco Barja, D Hochstrasser, P. Fumelli, Massimo Boemi, Paul N. Durrington, Caroline A. Abbott, M. Mackness, 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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