Per Winkel

168 papers receiving 6.3k citations

Per Winkel's Hit Papers

When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts 2017 · 1.6k citations
1.6k0+4+8Years since publication50010001.5k

Peers

Per Winkel
Comparison fields: 5 of 196
  • Critical Care and Intensive Care Medicine 333
  • Cardiology and Cardiovascular Medicine 942
  • Nephrology 274
  • Orthodontics 158
  • Statistics, Probability and Uncertainty 247
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Mark Helfand United States
Emmanuel Lesaffre Belgium
Chris Cameron Canada
Romina Brignardello‐Petersen Canada
Ferrán Catalá-López Spain
Jeroen P. Jansen United States
David M. Rind United States
Iztok Hozo United States
Howard Balshem United States
J. Lau United States
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Countries citing papers authored by Per Winkel

Since Specialization
Citations

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

Fields of papers citing papers by Per Winkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Per Winkel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Per Winkel Line = papers co-authored together Per Winkel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1
When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts
Hit paper breakdown →
20171634
2
Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods
Hit paper breakdown →
2014508
3 2010264
4 2016230
5 2009139
6 2014125
7 2008124
8 2013105
9 2009100
10 201293
11 201093
12 198291
13 197881
14 197475
15 197369
16 197365
17 197462
18 201561
19 201660
20 198160

About Per Winkel

Per Winkel is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 174 papers that have together received 6.6k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (11 papers), Statistical Methods in Clinical Trials (10 papers), Hormonal and reproductive studies (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Cardiac Health and Mental Health (8 papers), Meta-analysis and systematic reviews (7 papers) and Mental Health Research Topics (7 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (333 citations), Cardiology and Cardiovascular Medicine (942 citations), Nephrology (274 citations), Orthodontics (158 citations) and Statistics, Probability and Uncertainty (247 citations). Per Winkel has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Christian Gluud, Jørn Wetterslev, Janus Christian Jakobsen, Bernard E. Statland, Theis Lange, Henning Bokelund, Jane Lindschou, Jens Kastrup, Erik Kjøller and Gorm Boje Jensen. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Clinical and Laboratory Investigation, American Journal of Clinical Pathology, Trials and BMJ Open.

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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