Danielle Curcio
Impact in
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 8
- Lipoproteins and Cardiovascular Health 7
- Cholesterol and Lipid Metabolism 2
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- Computational Drug Discovery Methods 2
- Co-authors
- John J.P. Kastelein (9 shared papers)Kausik K. Ray (4 shared papers)R. Scott Wright (1 shared paper)Lawrence A. Leiter (1 shared paper)Peter Wijngaard (1 shared paper)Mark Jaros (2 shared papers)Wolfgang Köenig (2 shared papers)Frederick J. Raal (2 shared papers)
- Journals
- Journal of clinical lipidology (2 papers)Journal of the American College of Cardiology (2 papers)Circulation (1 paper)Nature Medicine (1 paper)Lipids in Health and Disease (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Danielle Curcio
13 papers receiving 952 citations
Danielle Curcio's Hit Papers
Peers
Comparison fields: 5 of 65
- Surgery 558
- Endocrinology, Diabetes and Metabolism 178
- Cancer Research 134
- Nutrition and Dietetics 135
- Cardiology and Cardiovascular Medicine 158
Countries citing papers authored by Danielle Curcio
This map shows the geographic impact of Danielle Curcio'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 Danielle Curcio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Curcio more than expected).
Fields of papers citing papers by Danielle Curcio
This network shows the impact of papers produced by Danielle Curcio. 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 Danielle Curcio. The network helps show where Danielle Curcio may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Curcio, 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 | Inclisiran for the Treatment of Heterozygous Familial Hypercholesterolemia Hit paper breakdown → | 2020 | 585 |
| 2 | Lipid lowering effects of the CETP inhibitor obicetrapib in combination with high-intensity statins: a randomized phase 2 trial Hit paper breakdown → | 2022 | 119 |
| 3 | 2013 | 83 | |
| 4 | 2013 | 72 | |
| 5 | 2023 | 60 | |
| 6 | 2015 | 45 | |
| 7 | 2024 | 7 | |
| 8 | 2022 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2020 | 1 |
About Danielle Curcio
Danielle Curcio is a scholar working on Surgery, Computational Theory and Mathematics, Nutrition and Dietetics, Economics and Econometrics and Organic Chemistry, having authored 13 papers that have together received 982 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Computational Drug Discovery Methods (2 papers), Cholesterol and Lipid Metabolism (2 papers), Pharmaceutical Economics and Policy (2 papers), Fatty Acid Research and Health (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Nanomaterials for catalytic reactions (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Surgery (558 citations), Endocrinology, Diabetes and Metabolism (178 citations), Cancer Research (134 citations), Nutrition and Dietetics (135 citations) and Cardiology and Cardiovascular Medicine (158 citations). Danielle Curcio has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include John J.P. Kastelein, Kausik K. Ray, R. Scott Wright, Lawrence A. Leiter, Peter Wijngaard, Mark Jaros, Wolfgang Köenig, Frederick J. Raal, David Kallend and Traci Turner. Their work appears in journals such as Journal of clinical lipidology, Journal of the American College of Cardiology, Circulation, Nature Medicine and Lipids in Health and Disease.
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.