Sara Toftegaard Hjuler
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- M.A. KarsdalKim HenriksenKim Vietz AndreassenLars HellgrenMichael FeighClaus ChristiansenPatrick M. SextonArthur Christopoulos
- Topics
- Neuropeptides and Animal Physiology (8 papers)Adipose Tissue and Metabolism (6 papers)Pancreatic function and diabetes (5 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Journals
- PLoS ONEJournal of Pharmacology and Experimental TherapeuticsBritish Journal of Pharmacology
- Partner nations
- DenmarkUnited StatesAustralia
In The Last Decade
Sara Toftegaard Hjuler
18 papers receiving 475 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 209
- Molecular Biology 176
- Cellular and Molecular Neuroscience 175
- Physiology 129
- Endocrine and Autonomic Systems 99
Countries citing papers authored by Sara Toftegaard Hjuler
This map shows the geographic impact of Sara Toftegaard Hjuler'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 Sara Toftegaard Hjuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Toftegaard Hjuler more than expected).
Fields of papers citing papers by Sara Toftegaard Hjuler
This network shows the impact of papers produced by Sara Toftegaard Hjuler. 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 Sara Toftegaard Hjuler. The network helps show where Sara Toftegaard Hjuler may publish in the future.
Co-authorship network of co-authors of Sara Toftegaard Hjuler
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Toftegaard Hjuler. A scholar is included among the top collaborators of Sara Toftegaard Hjuler 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 Sara Toftegaard Hjuler. Sara Toftegaard Hjuler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 42 | |
| 6 | 25 | |
| 7 | 31 | |
| 8 | 52 | |
| 9 | 1 | |
| 10 | 50 | |
| 11 | 37 | |
| 12 | 32 | |
| 13 | 15 | |
| 14 | 74 | |
| 15 | 1 | |
| 16 | 62 | |
| 17 | 19 | |
| 18 | 17 |
About Sara Toftegaard Hjuler
Sara Toftegaard Hjuler is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 18 papers that have together received 482 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Adipose Tissue and Metabolism (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (99 citations), Endocrinology, Diabetes and Metabolism (209 citations) and Cellular and Molecular Neuroscience (175 citations). Sara Toftegaard Hjuler has collaborated with scholars based in Denmark, United States and Australia. Frequent co-authors include M.A. Karsdal, Kim Henriksen, Kim Vietz Andreassen, Lars Hellgren, Michael Feigh, Claus Christiansen, Patrick M. Sexton, Arthur Christopoulos, Sebastian G. B. Furness and Olivier Nosjean. Their work appears in journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.
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.