Denise D’Andrea

1.1k citations
29 papers · 862 indexed · h-index 14

Denise D’Andrea

26 papers receiving 841 citations

Peers

Denise D’Andrea
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 309
  • Nephrology 71
  • Cancer Research 147
  • Surgery 385
  • Cardiology and Cardiovascular Medicine 166
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Joel Thompson United States
Fleur M. van der Valk Netherlands
Jun Morinaga Japan
Yan Xue China
Rachel T. McGrath Australia
Simone L. Verweij Netherlands
Esmeralda Castelblanco Spain
Randolph Hutter United States
Hiroyuki Kaneto Japan
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Citations per year

Countries citing papers authored by Denise D’Andrea

Since Specialization
Citations

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

Fields of papers citing papers by Denise D’Andrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise D’Andrea. 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 Denise D’Andrea. The network helps show where Denise D’Andrea may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20202
5 201813
6
Abstract 16500: CSL112 Restores Cholesterol Efflux in Patients Immediately After Acute Myocardial Infarction
20173
7 201625
8 2016144
9 201595
10
Abstract 15780: CSL112, A Novel Formulation of Human Apolipoprotein A-I, Dramatically Increases Cholesterol Efflux Capacity in Patients With Stable Atherothrombotic Disease: A Multicenter, Randomized, Double-Blind, Placebo-Controlled, Ascending-Dose Study
20133
11 201374
12 201327
13 20120
14 20111
15 201022
16 201047
17 200923
18 199715
19 199675
20 199383

About Denise D’Andrea

Denise D’Andrea is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 29 papers that have together received 862 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Cancer, Lipids, and Metabolism (3 papers), Renal Diseases and Glomerulopathies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Prostate Cancer Treatment and Research (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (309 citations), Nephrology (71 citations) and Cancer Research (147 citations). Denise D’Andrea has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Samuel D. Wright, Andreas Gille, Charles L. Shear, Rachael Easton, Thomas R. Kleyman, Brigitte Coupaye-Gerard, Michael P. Madaio, Mary H. Foster, Mona Darwish and John H. Alexander. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

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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