Danielle Curcio
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
Papers in
- Surgery 10
- Lipoproteins and Cardiovascular Health 9
- Cholesterol and Lipid Metabolism 2
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- Computational Drug Discovery Methods 3
- Co-authors
- John J.P. KasteleinDavid KallendMark JarosTraci TurnerR. Scott WrightLawrence A. LeiterPeter WijngaardFrederick J. Raal
- Journals
- Journal of the American College of Cardiology (2 papers)Journal of clinical lipidology (2 papers)Nature Medicine (1 paper)The Journal of Prevention of Alzheimer s Disease (1 paper)Lipids in Health and Disease (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Danielle Curcio
13 papers receiving 907 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 257
- Surgery 628
- Cancer Research 158
- Cardiology and Cardiovascular Medicine 204
- Nutrition and Dietetics 136
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-authorship network
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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 53 | |
| 6 | Lipid lowering effects of the CETP inhibitor obicetrapib in combination with high-intensity statins: a randomized phase 2 trial Hit paper breakdown → | 2022 | 113 |
| 7 | 2022 | 4 | |
| 8 | Inclisiran for the Treatment of Heterozygous Familial Hypercholesterolemia Hit paper breakdown → | 2020 | 562 |
| 9 | 2020 | 1 | |
| 10 | 2015 | 45 | |
| 11 | 2013 | 71 | |
| 12 | 2013 | 83 | |
| 13 | 2013 | 1 |
About Danielle Curcio
Danielle Curcio is a scholar working on Surgery, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Biochemistry, having authored 13 papers that have together received 939 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Pharmaceutical Economics and Policy (4 papers), Lipid metabolism and disorders (3 papers), Computational Drug Discovery Methods (3 papers), Cholesterol and Lipid Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (257 citations), Surgery (628 citations), Cancer Research (158 citations), Cardiology and Cardiovascular Medicine (204 citations) and Nutrition and Dietetics (136 citations). Danielle Curcio has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include John J.P. Kastelein, David Kallend, Mark Jaros, Traci Turner, R. Scott Wright, Lawrence A. Leiter, Peter Wijngaard, Frederick J. Raal, Kausik K. Ray and Wolfgang Köenig. Their work appears in journals such as Journal of the American College of Cardiology, Journal of clinical lipidology, Nature Medicine, The Journal of Prevention of Alzheimer s Disease 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.