Per Hyltoft Petersen
- Physiology top 0.5%
- Statistics, Probability and Uncertainty top 0.1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Statistics and Probability top 0.5%
- Co-authors
- Callum G. FraserSverre SandbergOle BlaabjergMogens HørderAri LahtiIvan BrandslundCarmen RicósPål Rustad
- Topics
- Clinical Laboratory Practices and Quality Control (81 papers)Meta-analysis and systematic reviews (38 papers)Statistical Methods in Clinical Trials (32 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAnalytical BiochemistryEuropean Heart Journal
- Partner nations
- DenmarkNorwayUnited Kingdom
In The Last Decade
Per Hyltoft Petersen
214 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Physiology 2.2k
- Statistics, Probability and Uncertainty 1.3k
- Endocrinology, Diabetes and Metabolism 984
- Surgery 907
- Statistics and Probability 659
Countries citing papers authored by Per Hyltoft Petersen
This map shows the geographic impact of Per Hyltoft Petersen'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 Per Hyltoft Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Hyltoft Petersen more than expected).
Fields of papers citing papers by Per Hyltoft Petersen
This network shows the impact of papers produced by Per Hyltoft Petersen. 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 Per Hyltoft Petersen. The network helps show where Per Hyltoft Petersen may publish in the future.
Co-authorship network of co-authors of Per Hyltoft Petersen
This figure shows the co-authorship network connecting the top 25 collaborators of Per Hyltoft Petersen. A scholar is included among the top collaborators of Per Hyltoft Petersen 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 Per Hyltoft Petersen. Per Hyltoft Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 40 | |
| 3 | 6 | |
| 4 | 58 | |
| 5 | 24 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 21 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 30 | |
| 19 | 5 | |
| 20 | 10 |
About Per Hyltoft Petersen
Per Hyltoft Petersen is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Physiology, having authored 214 papers that have together received 5.5k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (81 papers), Meta-analysis and systematic reviews (38 papers) and Statistical Methods in Clinical Trials (32 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Physiology (2.2k citations) and Statistics and Probability (659 citations). Per Hyltoft Petersen has collaborated with scholars based in Denmark, Norway and United Kingdom. Frequent co-authors include Callum G. Fraser, Sverre Sandberg, Ole Blaabjerg, Mogens Hørder, Ari Lahti, Ivan Brandslund, Carmen Ricós, Pål Rustad, Thomas Røraas and Jean-Claude Libeer. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Analytical Biochemistry and European Heart Journal.
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.