Maja S. Engelstoft
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Thue W. SchwartzKristoffer L. EgerodKaare V. GrunddalM. HaugeSteen Seier PoulsenMari L. LundMark K. NøhrBirgitte Holst
- Topics
- Pancreatic function and diabetes (13 papers)Diabetes Treatment and Management (10 papers)Receptor Mechanisms and Signaling (10 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Maja S. Engelstoft
27 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.0k
- Surgery 743
- Endocrinology, Diabetes and Metabolism 727
- Physiology 639
- Endocrine and Autonomic Systems 492
Countries citing papers authored by Maja S. Engelstoft
This map shows the geographic impact of Maja S. Engelstoft'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 Maja S. Engelstoft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja S. Engelstoft more than expected).
Fields of papers citing papers by Maja S. Engelstoft
This network shows the impact of papers produced by Maja S. Engelstoft. 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 Maja S. Engelstoft. The network helps show where Maja S. Engelstoft may publish in the future.
Co-authorship network of co-authors of Maja S. Engelstoft
This figure shows the co-authorship network connecting the top 25 collaborators of Maja S. Engelstoft. A scholar is included among the top collaborators of Maja S. Engelstoft 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 Maja S. Engelstoft. Maja S. Engelstoft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 40 | |
| 4 | 34 | |
| 5 | 13 | |
| 6 | 199 | |
| 7 | 47 | |
| 8 | 88 | |
| 9 | 51 | |
| 10 | 38 | |
| 11 | 25 | |
| 12 | 44 | |
| 13 | 7 | |
| 14 | 52 | |
| 15 | 179 | |
| 16 | 142 | |
| 17 | 78 | |
| 18 | 259 | |
| 19 | 45 | |
| 20 | 121 |
About Maja S. Engelstoft
Maja S. Engelstoft is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Diabetes Treatment and Management (10 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (492 citations), Endocrinology, Diabetes and Metabolism (727 citations) and Gastroenterology (240 citations). Maja S. Engelstoft has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Thue W. Schwartz, Kristoffer L. Egerod, Kaare V. Grunddal, M. Hauge, Steen Seier Poulsen, Mari L. Lund, Mark K. Nøhr, Birgitte Holst, Jens J. Holst and Anna Sofie Husted. Their work appears in journals such as Journal of Biological Chemistry, Development and Cell Metabolism.
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.