Kjeld Madsen
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Co-authors
- Lotte Bjerre KnudsenHenning ThøgersenNils L. JohansenJesper LauMichael WilkenPer F. NielsenS. RungeHenrik Agersø
- Topics
- Neuropeptides and Animal Physiology (12 papers)Diabetes Treatment and Management (9 papers)Receptor Mechanisms and Signaling (8 papers)
In The Last Decade
Kjeld Madsen
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 1.5k
- Surgery 737
- Cellular and Molecular Neuroscience 619
- Oncology 270
Countries citing papers authored by Kjeld Madsen
This map shows the geographic impact of Kjeld 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 Kjeld Madsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kjeld Madsen more than expected).
Fields of papers citing papers by Kjeld Madsen
This network shows the impact of papers produced by Kjeld 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 Kjeld Madsen. The network helps show where Kjeld Madsen may publish in the future.
Co-authorship network of co-authors of Kjeld Madsen
This figure shows the co-authorship network connecting the top 25 collaborators of Kjeld Madsen. A scholar is included among the top collaborators of Kjeld 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 Kjeld Madsen. Kjeld 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 | Discovery of the Once-Weekly Glucagon-Like Peptide-1 (GLP-1) Analogue Semaglutidebreakdown → | 736 |
| 2 | 21 | |
| 3 | 244 | |
| 4 | 22 | |
| 5 | 198 | |
| 6 | 101 | |
| 7 | 60 | |
| 8 | 19 | |
| 9 | Potent Derivatives of Glucagon-like Peptide-1 with Pharmacokinetic Properties Suitable for Once Daily Administrationbreakdown → | 579 |
| 10 | 247 | |
| 11 | 27 | |
| 12 | 30 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 1 |
About Kjeld Madsen
Kjeld Madsen is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Diabetes Treatment and Management (9 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Cellular and Molecular Neuroscience (619 citations) and Molecular Biology (1.5k citations). Kjeld Madsen has collaborated with scholars based in Denmark, Spain and Germany. Frequent co-authors include Lotte Bjerre Knudsen, Henning Thøgersen, Nils L. Johansen, Jesper Lau, Michael Wilken, Per F. Nielsen, S. Runge, Henrik Agersø, Per Olaf Huusfeldt and Rainer Rudolph. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Journal of Medicinal Chemistry.
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.