Fredrik Öhrn
Impact in
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- Diabetes Treatment and Management
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- Heart Failure Treatment and Management
- Cardiovascular Function and Risk Factors
Papers in
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- Statistical Methods in Clinical Trials 5
- Advanced Causal Inference Techniques 2
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- Optimal Experimental Design Methods 2
- Co-authors
- Ulrica Wilderäng (1 shared paper)Rudolf A. de Boer (1 shared paper)Carolyn S.P. Lam (1 shared paper)Adrian F. Hernandez (1 shared paper)Scott D. Solomon (1 shared paper)Mikhail Kosiborod (1 shared paper)Felipe A. Martínez (1 shared paper)Magnus Petersson (1 shared paper)
- Journals
- Journal of Biopharmaceutical Statistics (2 papers)Journal of the American College of Cardiology (1 paper)Statistics in Medicine (1 paper)The Journal of Clinical Pharmacology (1 paper)European Journal of Heart Failure (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Fredrik Öhrn
7 papers receiving 298 citations
Fredrik Öhrn's Hit Papers
Peers
Comparison fields: 5 of 51
- Endocrinology, Diabetes and Metabolism 130
- Cardiology and Cardiovascular Medicine 108
- Statistics and Probability 36
- Hepatology 11
- Surgery 49
Countries citing papers authored by Fredrik Öhrn
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
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-authors
The 25 scholars most cited alongside Fredrik Öhrn, 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 | Dapagliflozin in heart failure with preserved and mildly reduced ejection fraction: rationale and design of the Hit paper breakdown → | 2021 | 191 |
| 2 | 2019 | 60 | |
| 3 | 2019 | 22 | |
| 4 | 2009 | 14 | |
| 5 | 2020 | 10 | |
| 6 | 2014 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2025 | 0 |
About Fredrik Öhrn
Fredrik Öhrn is a scholar working on Statistics and Probability, Management Science and Operations Research, Molecular Biology, Genetics and Hematology, having authored 8 papers that have together received 300 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Advanced Causal Inference Techniques (2 papers), Optimal Experimental Design Methods (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Cardiology and Cardiovascular Medicine (108 citations), Statistics and Probability (36 citations), Hepatology (11 citations) and Surgery (49 citations). Fredrik Öhrn has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Ulrica Wilderäng, Rudolf A. de Boer, Carolyn S.P. Lam, Adrian F. Hernandez, Scott D. Solomon, Mikhail Kosiborod, Felipe A. Martínez, Magnus Petersson, Daniel Lindholm and Silvio E. Inzucchi. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Journal of the American College of Cardiology, Statistics in Medicine, The Journal of Clinical Pharmacology and European Journal of Heart Failure.
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.