Sven Karlsson
- Surgery top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- Bo ÅhrénF. SundlerBo AhrénPer VengeA.J.W. ScheurinkErik SimonssonHans TegnerBirgitta Schmekel
- Topics
- Pancreatic function and diabetes (35 papers)Parallel Computing and Optimization Techniques (25 papers)Neuropeptides and Animal Physiology (20 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- SwedenDenmarkUnited States
In The Last Decade
Sven Karlsson
102 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 148
- Surgery 462
- Molecular Biology 433
- Cellular and Molecular Neuroscience 363
- Endocrinology, Diabetes and Metabolism 273
- Physiology 222
Countries citing papers authored by Sven Karlsson
This map shows the geographic impact of Sven Karlsson'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 Sven Karlsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Karlsson more than expected).
Fields of papers citing papers by Sven Karlsson
This network shows the impact of papers produced by Sven Karlsson. 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 Sven Karlsson. The network helps show where Sven Karlsson may publish in the future.
Co-authorship network of co-authors of Sven Karlsson
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Karlsson. A scholar is included among the top collaborators of Sven Karlsson 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 Sven Karlsson. Sven Karlsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | A free openmp compiler and run-time library infrastructure for research on shared memory parallel computing | 2 |
| 4 | 2 | |
| 5 | 91 | |
| 6 | 25 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 6 | |
| 11 | 89 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 105 | |
| 20 | 11 |
About Sven Karlsson
Sven Karlsson is a scholar working on Hardware and Architecture, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (35 papers), Parallel Computing and Optimization Techniques (25 papers) and Neuropeptides and Animal Physiology (20 papers). The work is most often cited by research in Endocrine and Autonomic Systems (193 citations), Cellular and Molecular Neuroscience (363 citations) and Endocrinology, Diabetes and Metabolism (273 citations). Sven Karlsson has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Bo Åhrén, F. Sundler, Bo Ahrén, Per Venge, A.J.W. Scheurink, Erik Simonsson, Hans Tegner, Birgitta Schmekel, M Linden and Hindrik Mulder. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Trends in Biochemical Sciences.
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.