Deborah L. Mortensen
- Molecular Biology
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology
- Co-authors
- Ross ClarkPaul J. FielderSaileta PrabhuSuhasini IyerRong DengFrank‐Peter TheilLena CarlssonPaula Jardieu
- Topics
- Growth Hormone and Insulin-like Growth Factors (13 papers)Alzheimer's disease research and treatments (7 papers)Lipid metabolism and disorders (6 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Deborah L. Mortensen
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 610
- Physiology 503
- Endocrinology, Diabetes and Metabolism 430
- Radiology, Nuclear Medicine and Imaging 331
- Immunology 206
Countries citing papers authored by Deborah L. Mortensen
This map shows the geographic impact of Deborah L. Mortensen'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 Deborah L. Mortensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah L. Mortensen more than expected).
Fields of papers citing papers by Deborah L. Mortensen
This network shows the impact of papers produced by Deborah L. Mortensen. 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 Deborah L. Mortensen. The network helps show where Deborah L. Mortensen may publish in the future.
Co-authorship network of co-authors of Deborah L. Mortensen
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah L. Mortensen. A scholar is included among the top collaborators of Deborah L. Mortensen 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 Deborah L. Mortensen. Deborah L. Mortensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 124 | |
| 2 | 182 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | A Therapeutic Antibody Targeting Bace1 Inhibits Amyloid-beta Production in Vivo | 45 |
| 6 | 26 | |
| 7 | 203 | |
| 8 | 214 | |
| 9 | 1 | |
| 10 | 47 | |
| 11 | 74 | |
| 12 | 42 | |
| 13 | 12 | |
| 14 | 22 | |
| 15 | 34 | |
| 16 | 56 | |
| 17 | 201 | |
| 18 | 13 | |
| 19 | 25 | |
| 20 | Recombinant human insulin-like growth factor binding protein-3 (rhIGFBP-3): effects on the glycemic and growth promoting activities of rhIGF-1 in the rat. | 32 |
About Deborah L. Mortensen
Deborah L. Mortensen is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Alzheimer's disease research and treatments (7 papers) and Lipid metabolism and disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (430 citations), Biological Psychiatry (53 citations) and Physiology (503 citations). Deborah L. Mortensen has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Ross Clark, Paul J. Fielder, Saileta Prabhu, Suhasini Iyer, Rong Deng, Frank‐Peter Theil, Lena Carlsson, Paula Jardieu, Kenneth Dorshkind and David Clayton. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Neurology.
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.