Simone Bini
Impact in
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- Lipid metabolism and disorders
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
Papers in
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- Lipid metabolism and disorders 13
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- Marcello Arca (19 shared papers)Laura D’Erasmo (20 shared papers)Alessia Di Costanzo (12 shared papers)Ilenia Minicocci (15 shared papers)Valeria Pecce (9 shared papers)L. Frattola (1 shared paper)Michèle Tedeschi (1 shared paper)N. Colombo (1 shared paper)
- Journals
- Atherosclerosis (5 papers)Current Atherosclerosis Reports (2 papers)Journal of clinical lipidology (2 papers)Cancers (2 papers)Frontiers in Genetics (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Simone Bini
27 papers receiving 246 citations
Peers
Comparison fields: 5 of 55
- Cardiology and Cardiovascular Medicine 70
- Endocrinology, Diabetes and Metabolism 53
- Hepatology 19
- Cancer Research 27
- Oncology 43
Countries citing papers authored by Simone Bini
This map shows the geographic impact of Simone Bini'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 Simone Bini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Bini more than expected).
Fields of papers citing papers by Simone Bini
This network shows the impact of papers produced by Simone Bini. 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 Simone Bini. The network helps show where Simone Bini may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Bini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 42 | |
| 2 | 2021 | 25 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2023 | 3 |
About Simone Bini
Simone Bini is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Cancer Research, having authored 30 papers that have together received 250 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (13 papers), Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease and Transplantation (2 papers) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (70 citations), Endocrinology, Diabetes and Metabolism (53 citations), Hepatology (19 citations), Cancer Research (27 citations) and Oncology (43 citations). Simone Bini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Marcello Arca, Laura D’Erasmo, Alessia Di Costanzo, Ilenia Minicocci, Valeria Pecce, L. Frattola, Michèle Tedeschi, N. Colombo, Antonella Verrienti and Paola Venturino. Their work appears in journals such as Atherosclerosis, Current Atherosclerosis Reports, Journal of clinical lipidology, Cancers and Frontiers in Genetics.
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.