Jesper Madsen
- Endocrinology, Diabetes and Metabolism top 1%
- Pharmacology top 2%
- Molecular Biology
- Surgery top 10%
- Physiology top 10%
- Co-authors
- Stephan RössnerArne AstrupAila RissanenLeo NiskanenLuc Van GaalMads Frederik RasmussenMichael EJ LeanJens Faber
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Thyroid Disorders and Treatments (6 papers)Statistical Methods in Clinical Trials (5 papers)
- Partner nations
- DenmarkUnited KingdomBelgium
In The Last Decade
Jesper Madsen
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 1.3k
- Pharmacology 455
- Molecular Biology 437
- Surgery 346
- Physiology 333
Countries citing papers authored by Jesper Madsen
This map shows the geographic impact of Jesper Madsen'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 Jesper Madsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Madsen more than expected).
Fields of papers citing papers by Jesper Madsen
This network shows the impact of papers produced by Jesper Madsen. 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 Jesper Madsen. The network helps show where Jesper Madsen may publish in the future.
Co-authorship network of co-authors of Jesper Madsen
This figure shows the co-authorship network connecting the top 25 collaborators of Jesper Madsen. A scholar is included among the top collaborators of Jesper Madsen 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 Jesper Madsen. Jesper Madsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 40 | |
| 3 | 28 | |
| 4 | 53 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 207 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 197 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | Effects of liraglutide in the treatment of obesity: a randomised, double-blind, placebo-controlled studybreakdown → | 872 |
| 15 | 8 | |
| 16 | 115 | |
| 17 | 90 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 1 |
About Jesper Madsen
Jesper Madsen is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Management Science and Operations Research, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Thyroid Disorders and Treatments (6 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Pharmacology (455 citations) and Endocrine and Autonomic Systems (163 citations). Jesper Madsen has collaborated with scholars based in Denmark, United Kingdom and Belgium. Frequent co-authors include Stephan Rössner, Arne Astrup, Aila Rissanen, Leo Niskanen, Luc Van Gaal, Mads Frederik Rasmussen, Michael EJ Lean, Jens Faber, Christian Selmer and Gunnar Gislason. Their work appears in journals such as The Lancet, Journal of the American College of Cardiology and PLoS ONE.
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.