Björn Holzhauer

1.1k total citations
33 papers, 767 citations indexed

About

Björn Holzhauer is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Björn Holzhauer has authored 33 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 9 papers in Statistics and Probability and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Björn Holzhauer's work include Blood Pressure and Hypertension Studies (9 papers), Statistical Methods in Clinical Trials (9 papers) and Asthma and respiratory diseases (6 papers). Björn Holzhauer is often cited by papers focused on Blood Pressure and Hypertension Studies (9 papers), Statistical Methods in Clinical Trials (9 papers) and Asthma and respiratory diseases (6 papers). Björn Holzhauer collaborates with scholars based in Switzerland, United States and United Kingdom. Björn Holzhauer's co-authors include Richard Kay, Stevo Julius, Tsushung A. Hua, Sverre E. Kjeldsen, Michael A. Weber, Alberto Zanchetti, Dion Zappe, Giuseppe Mancia, Gerald Bacher and Ruth Hartley and has published in prestigious journals such as Circulation, American Journal of Respiratory and Critical Care Medicine and European Heart Journal.

In The Last Decade

Björn Holzhauer

33 papers receiving 758 citations

Peers

Björn Holzhauer
Pamela F. Schwartz United States
Jeremy Puthumana United States
Steven Bird United States
Diogo Mendes Portugal
Jessica Bon United States
Jetty A. Overbeek Netherlands
Pamela F. Schwartz United States
Björn Holzhauer
Citations per year, relative to Björn Holzhauer Björn Holzhauer (= 1×) peers Pamela F. Schwartz

Countries citing papers authored by Björn Holzhauer

Since Specialization
Citations

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

Fields of papers citing papers by Björn Holzhauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Holzhauer

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Holzhauer. A scholar is included among the top collaborators of Björn Holzhauer 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 Björn Holzhauer. Björn Holzhauer 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.
Holzhauer, Björn, et al.. (2023). “Super‐covariates”: Using predicted control group outcome as a covariate in randomized clinical trials. Pharmaceutical Statistics. 22(6). 1062–1075. 5 indexed citations
2.
Holzhauer, Björn, Lisa V. Hampson, John Paul Gosling, et al.. (2022). Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study. Pharmaceutical Statistics. 21(5). 1005–1021. 5 indexed citations
4.
Hampson, Lisa V., Björn Bornkamp, Björn Holzhauer, et al.. (2021). Improving the assessment of the probability of success in late stage drug development. Pharmaceutical Statistics. 21(2). 439–459. 12 indexed citations
5.
Holzhauer, Björn, Stevo Julius, Sverre E. Kjeldsen, et al.. (2021). Cardiovascular outcomes at recommended blood pressure targets in middle-aged and elderly patients with type 2 diabetes mellitus and hypertension. Blood Pressure. 30(2). 82–89. 3 indexed citations
7.
Ställberg, Björn, Karin Lisspers, Kjell Larsson, et al.. (2021). Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning – Based on the ARCTIC Study. International Journal of COPD. Volume 16. 677–688. 16 indexed citations
8.
Lisspers, Karin, Björn Ställberg, Kjell Larsson, et al.. (2021). Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients’ data using machine learning - Based on the ARCTIC study. Respiratory Medicine. 185. 106483–106483. 18 indexed citations
9.
Siah, Kien Wei, Nicholas Kelley, Björn Holzhauer, et al.. (2021). Predicting drug approvals: The Novartis data science and artificial intelligence challenge. Patterns. 2(8). 100312–100312. 25 indexed citations
10.
Bateman, Eric D., Florian Brockhaus, Björn Holzhauer, et al.. (2017). Fevipiprant, an oral prostaglandin DP2receptor (CRTh2) antagonist, in allergic asthma uncontrolled on low-dose inhaled corticosteroids. European Respiratory Journal. 50(2). 1700670–1700670. 85 indexed citations
11.
Holzhauer, Björn, et al.. (2017). Evidence synthesis from aggregate recurrent event data for clinical trial design and analysis. Statistics in Medicine. 37(6). 867–882. 9 indexed citations
12.
Aksnes, Tonje A., Sverre E. Kjeldsen, Morten Rostrup, et al.. (2016). Predictors of cardiac morbidity in diabetic, new-onset diabetic and non-diabetic high-risk hypertensive patients: The Valsartan Antihypertensive Long-term Use Evaluation (VALUE) trial. Blood Pressure. 25(4). 235–240. 2 indexed citations
13.
Holzhauer, Björn. (2016). Meta-analysis of aggregate data on medical events. Statistics in Medicine. 36(5). 723–737. 5 indexed citations
14.
Gonem, Sherif, Rachid Berair, Amisha Singapuri, et al.. (2016). Fevipiprant, a prostaglandin D 2 receptor 2 antagonist, in patients with persistent eosinophilic asthma: a single-centre, randomised, double-blind, parallel-group, placebo-controlled trial. The Lancet Respiratory Medicine. 4(9). 699–707. 184 indexed citations
15.
Berair, Rachid, Sherif Gonem, Amisha Singapuri, et al.. (2015). Effect Of Qaw039, An Oral Prostaglandin D2 Receptor (dp2/crth2) Antagonist, Upon Sputum And Bronchial Eosinophilic Inflammation And Clinical Outcomes In Treatment-Resistant Asthma: A Phase 2a Randomized Placebo-Controlled Trial. American Journal of Respiratory and Critical Care Medicine. 191. 6 indexed citations
16.
Kjeldsen, Sverre E., Sripal Bangalore, Franz H. Messerli, et al.. (2015). Abstract 10123: Evidence Against the J-shaped Curve in Treated Hypertensive Patients With Increased Cardiovascular Risk: The VALUE Trial. Circulation. 132(suppl_3). 1 indexed citations
17.
Kjeldsen, Sverre E., Eivind Berge, Sripal Bangalore, et al.. (2015). No evidence for a J-shaped curve in treated hypertensive patients with increased cardiovascular risk: The VALUE trial. Blood Pressure. 25(2). 83–92. 44 indexed citations
18.
Howard, Campbell P., Adele Noè, Andrej Skerjanec, et al.. (2014). Safety and tolerability of canakinumab, an IL-1β inhibitor, in type 2 diabetes mellitus patients: a pooled analysis of three randomised double-blind studies. Cardiovascular Diabetology. 13(1). 94–94. 44 indexed citations
19.
Julius, Stevo, Paolo Palatini, Sverre E. Kjeldsen, et al.. (2011). Usefulness of Heart Rate to Predict Cardiac Events in Treated Patients With High-Risk Systemic Hypertension. The American Journal of Cardiology. 109(5). 685–692. 122 indexed citations
20.
Krum, Henry, John J.V. McMurray, Edward S. Horton, et al.. (2010). Baseline Characteristics of the Nateglinide and Valsartan Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) Trial Population: Comparison with Other Diabetes Prevention Trials. Cardiovascular Therapeutics. 28(2). 124–132. 9 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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