Steinunn Bækkeskov
- Genetics top 0.2%
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Shera KashHenk‐Jan AanstootÅke LernmarkDouglas HanahanJamil KanaaniMarília CascalhoMichele SolimenaFranco Folli
- Topics
- Pancreatic function and diabetes (55 papers)Diabetes and associated disorders (54 papers)Diabetes Management and Research (23 papers)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Steinunn Bækkeskov
78 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 3.8k
- Surgery 3.4k
- Endocrinology, Diabetes and Metabolism 2.3k
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 1.6k
Countries citing papers authored by Steinunn Bækkeskov
This map shows the geographic impact of Steinunn Bækkeskov'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 Steinunn Bækkeskov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steinunn Bækkeskov more than expected).
Fields of papers citing papers by Steinunn Bækkeskov
This network shows the impact of papers produced by Steinunn Bækkeskov. 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 Steinunn Bækkeskov. The network helps show where Steinunn Bækkeskov may publish in the future.
Co-authorship network of co-authors of Steinunn Bækkeskov
This figure shows the co-authorship network connecting the top 25 collaborators of Steinunn Bækkeskov. A scholar is included among the top collaborators of Steinunn Bækkeskov 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 Steinunn Bækkeskov. Steinunn Bækkeskov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 18 | |
| 3 | 33 | |
| 4 | 35 | |
| 5 | 88 | |
| 6 | 12 | |
| 7 | 90 | |
| 8 | 63 | |
| 9 | 40 | |
| 10 | 34 | |
| 11 | 6 | |
| 12 | 148 | |
| 13 | 4 | |
| 14 | Human diabetes : genetic, environmental and autoimmune etiology | 12 |
| 15 | Identification of the 64K autoantigen in insulin-dependent diabetes as the GABA-synthesizing enzyme glutamic acid decarboxylasebreakdown → | 1304 |
| 16 | 27 | |
| 17 | 21 | |
| 18 | 64 | |
| 19 | 262 | |
| 20 | 18 |
About Steinunn Bækkeskov
Steinunn Bækkeskov is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Biological Psychiatry, having authored 78 papers that have together received 7.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (55 papers), Diabetes and associated disorders (54 papers) and Diabetes Management and Research (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Genetics (3.8k citations) and Biological Psychiatry (230 citations). Steinunn Bækkeskov has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Shera Kash, Henk‐Jan Aanstoot, Åke Lernmark, Douglas Hanahan, Jamil Kanaani, Marília Cascalho, Michele Solimena, Franco Folli, Nobuko Mataga and Michela Fagiolini. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.