A Torri

795 citations
16 papers · 568 · h-index 10

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 4
    • MicroRNA in disease regulation 4
    • Cancer, Lipids, and Metabolism 2

A Torri

14 papers receiving 552 citations

Peers

A Torri
Comparison fields: 5 of 89
  • Cancer Research 268
  • Immunology 93
  • Molecular Biology 287
  • Nutrition and Dietetics 53
  • Endocrinology, Diabetes and Metabolism 49
Replace Marise Andréani with:
Marise Andréani France
Di Cheng China
Modjtaba Emadi‐Baygi Iran
Leila Kohan Iran
Sandra Winning Germany
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Minh Nam Nguyen Vietnam
Han Guo China
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Citations per field
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Citations per year

Countries citing papers authored by A Torri

Since Specialization
Citations

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

Fields of papers citing papers by A Torri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015209
2 201368
3 198468
4 201454
5 199939
6 201035
7 200930
8 201617
9 199714
10 201510
11 20198
12
Atorvastatin increases HDL cholesterol in hypercholesterolemic patients. Evidence of a relationship with baseline HDL cholesterol.
20028
13 20105
14 20002
15 19971
16
[Radio-hormonal study (radioimmunoassay) in young women with functional hyperprolactinemia. 1) Analysis in basal states].
19850

About A Torri

A Torri is a scholar working on Surgery, Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 16 papers that have together received 568 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Extracellular vesicles in disease (2 papers), Cancer, Lipids, and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (268 citations), Immunology (93 citations), Molecular Biology (287 citations), Nutrition and Dietetics (53 citations) and Endocrinology, Diabetes and Metabolism (49 citations). A Torri has collaborated with scholars based in Italy, Singapore and Switzerland. Frequent co-authors include Sergio Abrignani, Paola de Candia, Francesco Marabita, Riccardo L. Rossi, Jesper Tegnér, Massimiliano Pagani, Elena Gatti, Cesare R. Sirtori, Maria Foti and A. Rovellini. Their work appears in journals such as PLoS ONE, Atherosclerosis, Liver International, Annals of Nutrition and Metabolism and Scientific Reports.

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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