Julia Brandts

922 total citations · 1 hit paper
30 papers, 333 citations indexed

About

Julia Brandts is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Julia Brandts has authored 30 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 12 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Economics and Econometrics. Recurrent topics in Julia Brandts's work include Lipoproteins and Cardiovascular Health (20 papers), Cancer, Lipids, and Metabolism (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Julia Brandts is often cited by papers focused on Lipoproteins and Cardiovascular Health (20 papers), Cancer, Lipids, and Metabolism (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Julia Brandts collaborates with scholars based in Germany, United Kingdom and Netherlands. Julia Brandts's co-authors include Kausik K. Ray, Antonio J. Vallejo‐Vaz, Dirk Müller‐Wieland, Kanika Dharmayat, Rebecca Jones, John J.P. Kastelein, Mansour T. A. Sharabiani, Neil R Poulter, Alberico L. Catapano and Guillermo Villa and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Julia Brandts

27 papers receiving 322 citations

Hit Papers

Early Ezetimibe Initiation After Myocardial Infarction Pr... 2025 2026 2025 4 8 12

Peers

Julia Brandts
Arjen J. Cupido Netherlands
Andrew Friedman United States
Faisal Majeed United States
Armando Lira United States
Yong-Un Kim United States
Yong‐Joon Lee South Korea
Julia Brandts
Citations per year, relative to Julia Brandts Julia Brandts (= 1×) peers Julius L. Katzmann

Countries citing papers authored by Julia Brandts

Since Specialization
Citations

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

Fields of papers citing papers by Julia Brandts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Brandts. 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 Julia Brandts. The network helps show where Julia Brandts may publish in the future.

Co-authorship network of co-authors of Julia Brandts

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Brandts. A scholar is included among the top collaborators of Julia Brandts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Brandts. Julia Brandts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patoulias, Dimitrios, Dirk Müller‐Wieland, Dror Dicker, et al.. (2025). Gaps in Glycaemic Monitoring and Underuse of Cardioprotective Glucose-lowering Agents: Challenges of inpatient diabetes care identified by EFIM’s Diabesity Day Survey 2024. European Journal of Internal Medicine. 144. 106583–106583. 1 indexed citations
2.
Leósdóttir, Margrét, Jessica Schubert, Julia Brandts, et al.. (2025). Early Ezetimibe Initiation After Myocardial Infarction Protects Against Later Cardiovascular Outcomes in the SWEDEHEART Registry. Journal of the American College of Cardiology. 85(15). 1550–1564. 14 indexed citations breakdown →
3.
Brandts, Julia & Kausik K. Ray. (2025). Maturation of Lipid Management in the 2025 ACC/AHA Acute Coronary Syndrome Guideline. Journal of the American College of Cardiology. 85(22). 2107–2110. 1 indexed citations
4.
Brandts, Julia & Dirk Müller‐Wieland. (2025). Debate: Lipid-lowering Therapies and Diabetes Development. Current Atherosclerosis Reports. 27(1). 24–24. 2 indexed citations
5.
Stevens, Christophe, Antonio J. Vallejo‐Vaz, Joana Rita Chora, et al.. (2024). Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?. Journal of the American Heart Association. 13(12). e034434–e034434. 2 indexed citations
6.
Stevens, Cliff R., Antonio J. Vallejo‐Vaz, Mansour Taghavi Azar Sharabiani, et al.. (2024). Impact of addressing modifiable risk factors on the 10-year risk of cardiovascular disease in individuals with familial hypercholesterolemia: a causal analysis utilising UK biobank. European Heart Journal. 45(Supplement_1).
7.
Müller‐Wieland, Dirk, Nikolaus Marx, Katharina Schuett, et al.. (2024). Application of wearables for remote monitoring of oncology patients: A scoping review. Digital Health. 10. 599877710–599877710. 9 indexed citations
8.
Brandts, Julia, Sascha R. Tittel, Peter Bramlage, et al.. (2023). LDL- and non-HDL-cholesterol in type 1 and type 2 diabetes: Lipid goal attainment in a large German diabetes registry. Atherosclerosis. 379. S58–S58. 1 indexed citations
9.
Brandts, Julia, Sascha R. Tittel, Peter Bramlage, et al.. (2023). L ow‐density lipoprotein cholesterol and non‐high‐density lipoprotein cholesterol in type 1 diabetes and type 2 diabetes: Lipid goal attainment in a large German–Austrian diabetes registry. Diabetes Obesity and Metabolism. 25(12). 3700–3708. 11 indexed citations
10.
Dembek, Till A., Julia Brandts, Paul Jäger, et al.. (2023). Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies. npj Digital Medicine. 6(1). 105–105. 7 indexed citations
11.
Brandts, Julia & Kausik K. Ray. (2023). Novel and future lipid-modulating therapies for the prevention of cardiovascular disease. Nature Reviews Cardiology. 20(9). 600–616. 62 indexed citations
12.
Brandts, Julia, Sarah Bray, Guillermo Villa, et al.. (2023). Optimal implementation of the 2019 ESC/EAS dyslipidaemia guidelines in patients with and without atherosclerotic cardiovascular disease across Europe: a simulation based on the DA VINCI study. The Lancet Regional Health - Europe. 31. 100665–100665. 18 indexed citations
13.
Hartmann, Bojan, Paul Balfanz, Niels‐Ulrik Korbinian Hartmann, et al.. (2022). Glycaemic variability is associated with all-cause mortality in COVID-19 patients with ARDS, a retrospective subcohort study. Scientific Reports. 12(1). 9862–9862. 8 indexed citations
14.
Brandts, Julia, Kanika Dharmayat, Antonio J. Vallejo‐Vaz, et al.. (2021). A meta-analysis of medications directed against PCSK9 in familial hypercholesterolemia. Atherosclerosis. 325. 46–56. 20 indexed citations
15.
Zippel‐Schultz, Bettina, Casper Eurlings, Chantal F. Ski, et al.. (2021). Determinants of acceptance of patients with heart failure and their informal caregivers regarding an interactive decision-making system: a qualitative study. BMJ Open. 11(6). e046160–e046160. 17 indexed citations
16.
Müller‐Wieland, Dirk, et al.. (2021). Glycaemic Control in Diabetes. Handbook of experimental pharmacology. 270. 47–71. 1 indexed citations
17.
Brandts, Julia & Kausik K. Ray. (2021). Familial Hypercholesterolemia. Journal of the American College of Cardiology. 78(18). 1831–1843. 39 indexed citations
18.
Müller‐Wieland, Dirk, Katharina Schütt, Julia Brandts, & Nikolaus Marx. (2020). Neue orale Antidiabetika. Herz. 45(5). 493–503. 1 indexed citations
20.
Brandts, Julia & Dirk Müller‐Wieland. (2019). PCSK9 Inhibition: New Treatment Options and Perspectives to Lower Atherogenic Lipoprotein Particles and Cardiovascular Risk. Current Atherosclerosis Reports. 21(10). 40–40. 7 indexed citations

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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