Fredrik Öhrn

469 total citations · 1 hit paper
8 papers, 281 citations indexed

About

Fredrik Öhrn is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Fredrik Öhrn has authored 8 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 2 papers in Management Science and Operations Research and 1 paper in Molecular Biology. Recurrent topics in Fredrik Öhrn's work include Statistical Methods in Clinical Trials (5 papers), Advanced Causal Inference Techniques (2 papers) and Optimal Experimental Design Methods (2 papers). Fredrik Öhrn is often cited by papers focused on Statistical Methods in Clinical Trials (5 papers), Advanced Causal Inference Techniques (2 papers) and Optimal Experimental Design Methods (2 papers). Fredrik Öhrn collaborates with scholars based in Sweden, United Kingdom and United States. Fredrik Öhrn's co-authors include Silvio E. Inzucchi, Magnus Petersson, Scott D. Solomon, Adrian F. Hernandez, Rudolf A. de Boer, Anna Maria Langkilde, Daniel Lindholm, Brian Claggett, Carolyn S.P. Lam and Sanjiv J. Shah and has published in prestigious journals such as Journal of the American College of Cardiology, Statistics in Medicine and European Journal of Heart Failure.

In The Last Decade

Fredrik Öhrn

7 papers receiving 279 citations

Hit Papers

Dapagliflozin in heart failure with preserved and mildly ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fredrik Öhrn Sweden 5 139 137 68 44 41 8 281
В. А. Куценко Russia 9 90 0.6× 51 0.4× 59 0.9× 11 0.3× 13 0.3× 101 292
Kévin Duarte France 8 83 0.6× 33 0.2× 19 0.3× 26 0.6× 26 0.6× 15 191
Lisa Pennells United Kingdom 8 65 0.5× 41 0.3× 48 0.7× 23 0.5× 9 0.2× 25 243
Ana Denise Zazula Brazil 9 156 1.1× 37 0.3× 49 0.7× 29 0.7× 13 0.3× 15 353
Kenneth Quinto United States 5 36 0.3× 38 0.3× 22 0.3× 39 0.9× 81 2.0× 10 250
Lieselotte Lennartz Germany 9 166 1.2× 16 0.1× 71 1.0× 12 0.3× 16 0.4× 14 354
Swarup A.V. Shah India 9 35 0.3× 83 0.6× 49 0.7× 6 0.1× 11 0.3× 20 325
María José García‐Zattera Chile 7 22 0.2× 58 0.4× 113 1.7× 107 2.4× 46 1.1× 10 329
Lotte Kaasenbrood Netherlands 7 154 1.1× 63 0.5× 146 2.1× 29 0.7× 4 0.1× 9 320

Countries citing papers authored by Fredrik Öhrn

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Öhrn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Öhrn

This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Öhrn. A scholar is included among the top collaborators of Fredrik Öhrn 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 Fredrik Öhrn. Fredrik Öhrn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Magirr, Dominic & Fredrik Öhrn. (2025). Robust Modestly Weighted Log‐Rank Tests. Pharmaceutical Statistics. 25(1). e70066–e70066.
2.
Solomon, Scott D., Rudolf A. de Boer, David L. DeMets, et al.. (2021). Dapagliflozin in heart failure with preserved and mildly reduced ejection fraction: rationale and design of the DELIVER trial. European Journal of Heart Failure. 23(7). 1217–1225. 182 indexed citations breakdown →
3.
Öhrn, Fredrik, et al.. (2021). Improved group sequential Holm procedures for testing multiple correlated hypotheses over time. Journal of Biopharmaceutical Statistics. 32(2). 230–246. 1 indexed citations
4.
Mukhopadhyay, Pralay, et al.. (2020). Statistical and practical considerations in designing of immuno-oncology trials. Journal of Biopharmaceutical Statistics. 30(6). 1130–1146. 10 indexed citations
5.
Gregson, John, Linda Sharples, Gregg W. Stone, et al.. (2019). Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials. Journal of the American College of Cardiology. 74(16). 2102–2112. 51 indexed citations
6.
Westman, Gabriel, Karin Lindahl, Fredrik Öhrn, et al.. (2019). Prevalence of Viremic hepatitis C, hepatitis B, and HIV infection, and vaccination status among prisoners in Stockholm County. BMC Infectious Diseases. 19(1). 955–955. 21 indexed citations
7.
Boström, Emma, et al.. (2014). Exposure vs. response of blood pressure in patients with rheumatoid arthritis following treatment with fostamatinib. The Journal of Clinical Pharmacology. 54(12). 1337–1346. 2 indexed citations
8.
Öhrn, Fredrik & Christopher Jennison. (2009). Optimal group‐sequential designs for simultaneous testing of superiority and non‐inferiority. Statistics in Medicine. 29(7-8). 743–759. 14 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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