Federico Oldoni
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
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- Lipid metabolism and disorders
Papers in
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- Lipid metabolism and disorders 6
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Co-authors
- Avash Das (3 shared papers)Fei Luo (2 shared papers)Jan Albert Kuivenhoven (6 shared papers)Richard J. Sinke (2 shared papers)Helen H. Hobbs (3 shared papers)Viktoria Gusarova (2 shared papers)Jonathan C. Cohen (3 shared papers)Serena Banfi (1 shared paper)
- Journals
- Atherosclerosis (2 papers)Circulation (1 paper)Lipids in Health and Disease (1 paper)Hepatology Communications (1 paper)Current Opinion in Lipidology (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Federico Oldoni
14 papers receiving 373 citations
Peers
Comparison fields: 5 of 52
- Endocrinology, Diabetes and Metabolism 116
- Cardiology and Cardiovascular Medicine 121
- Cancer Research 52
- Epidemiology 96
- Biochemistry 19
Countries citing papers authored by Federico Oldoni
This map shows the geographic impact of Federico Oldoni'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 Federico Oldoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Oldoni more than expected).
Fields of papers citing papers by Federico Oldoni
This network shows the impact of papers produced by Federico Oldoni. 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 Federico Oldoni. The network helps show where Federico Oldoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Oldoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2020 | 62 | |
| 3 | 2018 | 60 | |
| 4 | 2014 | 37 | |
| 5 | 2023 | 35 | |
| 6 | 2024 | 22 | |
| 7 | 2015 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2019 | 4 | |
| 13 | 2025 | 1 | |
| 14 | 2021 | 1 |
About Federico Oldoni
Federico Oldoni is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Molecular Biology, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (6 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cholesterol and Lipid Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (116 citations), Cardiology and Cardiovascular Medicine (121 citations), Cancer Research (52 citations), Epidemiology (96 citations) and Biochemistry (19 citations). Federico Oldoni has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Avash Das, Fei Luo, Jan Albert Kuivenhoven, Richard J. Sinke, Helen H. Hobbs, Viktoria Gusarova, Jonathan C. Cohen, Serena Banfi, Haili Cheng and Zhenfei Fang. Their work appears in journals such as Atherosclerosis, Circulation, Lipids in Health and Disease, Hepatology Communications and Current Opinion in Lipidology.
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.