Jan Oscarsson
- Endocrinology, Diabetes and Metabolism top 0.2%
- Molecular Biology top 5%
- Physiology top 1%
- Epidemiology top 2%
- Surgery top 2%
- Co-authors
- N. David ÅbergMaria ÅbergPeter S. ErikssonDaniel LindénMohammad Bohlooly‐YS EdénMikael BjursellEva Hurt‐Camejo
- Topics
- Growth Hormone and Insulin-like Growth Factors (46 papers)Lipid metabolism and disorders (31 papers)Liver Disease Diagnosis and Treatment (26 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Journals
- Journal of Biological ChemistryJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Jan Oscarsson
156 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Endocrinology, Diabetes and Metabolism 2.8k
- Molecular Biology 2.4k
- Physiology 1.9k
- Epidemiology 1.5k
- Surgery 1.1k
Countries citing papers authored by Jan Oscarsson
This map shows the geographic impact of Jan Oscarsson'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 Jan Oscarsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Oscarsson more than expected).
Fields of papers citing papers by Jan Oscarsson
This network shows the impact of papers produced by Jan Oscarsson. 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 Jan Oscarsson. The network helps show where Jan Oscarsson may publish in the future.
Co-authorship network of co-authors of Jan Oscarsson
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Oscarsson. A scholar is included among the top collaborators of Jan Oscarsson 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 Jan Oscarsson. Jan Oscarsson 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 | 28 | |
| 4 | 27 | |
| 5 | 13 | |
| 6 | Assessing reproducibility and utility of clustering of patients with type 2 diabetes and established CV disease (SAVOR -TIMI 53 trial) | 1 |
| 7 | 17 | |
| 8 | 36 | |
| 9 | 47 | |
| 10 | 2 | |
| 11 | 26 | |
| 12 | 183 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 44 |
About Jan Oscarsson
Jan Oscarsson is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 157 papers that have together received 6.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (46 papers), Lipid metabolism and disorders (31 papers) and Liver Disease Diagnosis and Treatment (26 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Developmental Neuroscience (500 citations) and Endocrine and Autonomic Systems (497 citations). Jan Oscarsson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include N. David Åberg, Maria Åberg, Peter S. Eriksson, Daniel Lindén, Mohammad Bohlooly‐Y, S Edén, Mikael Bjursell, Eva Hurt‐Camejo, Anna Ljungberg and Staffan Edén. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.