Svend Havelund
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Inge JonassenUlla RibelJan MarkussenPeter KurtzhalsJens BrangeThomas Høeg-JensenAage VølundDorte B. Steensgaard
- Topics
- Diabetes Management and Research (14 papers)Pancreatic function and diabetes (12 papers)Protein Structure and Dynamics (10 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Svend Havelund
42 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.8k
- Endocrinology, Diabetes and Metabolism 1.4k
- Surgery 1.1k
- Genetics 393
- Radiology, Nuclear Medicine and Imaging 305
Countries citing papers authored by Svend Havelund
This map shows the geographic impact of Svend Havelund'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 Svend Havelund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svend Havelund more than expected).
Fields of papers citing papers by Svend Havelund
This network shows the impact of papers produced by Svend Havelund. 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 Svend Havelund. The network helps show where Svend Havelund may publish in the future.
Co-authorship network of co-authors of Svend Havelund
This figure shows the co-authorship network connecting the top 25 collaborators of Svend Havelund. A scholar is included among the top collaborators of Svend Havelund 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 Svend Havelund. Svend Havelund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 351 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 32 | |
| 6 | 42 | |
| 7 | 34 | |
| 8 | 336 | |
| 9 | 29 | |
| 10 | 18 | |
| 11 | 180 | |
| 12 | 108 | |
| 13 | 66 | |
| 14 | 191 | |
| 15 | 75 | |
| 16 | 108 | |
| 17 | 118 | |
| 18 | 42 | |
| 19 | 27 | |
| 20 | Monomeric insulins obtained by protein engineering and their medical implicationsbreakdown → | 397 |
About Svend Havelund
Svend Havelund is a scholar working on Endocrinology, Diabetes and Metabolism, Spectroscopy and Molecular Biology, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (14 papers), Pancreatic function and diabetes (12 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Pharmaceutical Science (257 citations) and Molecular Biology (1.8k citations). Svend Havelund has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Inge Jonassen, Ulla Ribel, Jan Markussen, Peter Kurtzhals, Jens Brange, Thomas Høeg-Jensen, Aage Vølund, Dorte B. Steensgaard, Per‐Olof Wahlund and Marco van de Weert. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological 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.