Mette Guldbrandt
- Molecular Biology
- Pharmaceutical Science top 5%
- Organic Chemistry
- Computational Theory and Mathematics top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Søren Berg PadkjærHanne H. F. RefsgaardMichael ChristensenPer B. BrockhoffUlrik L. RahbekDavid J. BraydenSam MaherHanno Huwer
- Topics
- Diabetes Treatment and Management (2 papers)Neuropeptides and Animal Physiology (2 papers)Pancreatic function and diabetes (2 papers)
- Cited by
- Pharmaceutical ScienceComputational Theory and MathematicsEndocrinology, Diabetes and Metabolism
- Journals
- Scientific ReportsInternational Journal of Molecular SciencesJournal of Medicinal Chemistry
- Partner nations
- DenmarkIrelandUnited States
In The Last Decade
Mette Guldbrandt
9 papers receiving 359 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 159
- Pharmaceutical Science 79
- Organic Chemistry 74
- Computational Theory and Mathematics 68
- Endocrinology, Diabetes and Metabolism 61
Countries citing papers authored by Mette Guldbrandt
This map shows the geographic impact of Mette Guldbrandt'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 Mette Guldbrandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette Guldbrandt more than expected).
Fields of papers citing papers by Mette Guldbrandt
This network shows the impact of papers produced by Mette Guldbrandt. 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 Mette Guldbrandt. The network helps show where Mette Guldbrandt may publish in the future.
Co-authorship network of co-authors of Mette Guldbrandt
This figure shows the co-authorship network connecting the top 25 collaborators of Mette Guldbrandt. A scholar is included among the top collaborators of Mette Guldbrandt 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 Mette Guldbrandt. Mette Guldbrandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 25 | |
| 4 | 56 | |
| 5 | 26 | |
| 6 | 43 | |
| 7 | 41 | |
| 8 | 153 | |
| 9 | 6 |
About Mette Guldbrandt
Mette Guldbrandt is a scholar working on Pharmaceutical Science, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (2 papers), Neuropeptides and Animal Physiology (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Pharmaceutical Science (79 citations), Computational Theory and Mathematics (68 citations) and Endocrinology, Diabetes and Metabolism (61 citations). Mette Guldbrandt has collaborated with scholars based in Denmark, Ireland and United States. Frequent co-authors include Søren Berg Padkjær, Hanne H. F. Refsgaard, Michael Christensen, Per B. Brockhoff, Ulrik L. Rahbek, David J. Brayden, Sam Maher, Hanno Huwer, Nina Hagen and Michael Bur. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences 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.