S. Martini

27 papers receiving 877 citations

Peers

S. Martini
Comparison fields: 5 of 83
  • Aging 37
  • Endocrinology, Diabetes and Metabolism 297
  • Surgery 449
  • Biochemistry 60
  • Cancer Research 146
Replace Kumi Satoh with:
Kumi Satoh Japan
Takuya Kitada Japan
Miek C. Jong Netherlands
Sandra Bacon United States
Chantal Doucet France
Claudia Anzivino Italy
Taichi Sugizaki Japan
Yaxi Chen China
Weiping Zhang China
Meihui Pan United States
S. Martini relative to Kumi Satoh Japan Kumi Satoh's profile →
Citations per field
00.5×6.2×
Kumi Satoh · 1×
Citations per year

Countries citing papers authored by S. Martini

Since Specialization
Citations

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

Fields of papers citing papers by S. Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998147
2 2000123
3 198692
4 198889
5 200468
6 200961
7 198860
8 201244
9 198039
10 198733
11 198332
12 200822
13 199621
14 199117
15 199310
16 198410
17 20089
18
[Acute pelvic inflammatory disease: comparison of therapeutic protocols].
19967
19 19926
20 19995

About S. Martini

S. Martini is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Epidemiology, having authored 27 papers that have together received 912 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipoproteins and Cardiovascular Health (14 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and disorders (6 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Aging (37 citations), Endocrinology, Diabetes and Metabolism (297 citations), Surgery (449 citations), Biochemistry (60 citations) and Cancer Research (146 citations). S. Martini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gaetano Crepaldi, Carlo Gabelli, Giovannella Baggio, R. Fellin, Enzo Manzato, S. Calandra, Maurizio Averna, Livia Pisciotta, Stefano Bertolini and Alfredo Cantàfora. Their work appears in journals such as Atherosclerosis, European Journal of Clinical Investigation, Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Pediatrics and Molecular Genetics 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.

Explore authors with similar magnitude of impact