Maja Jensen
Impact in
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Metabolism, Diabetes, and Cancer 6
- Genomics and Chromatin Dynamics 2
- Heat shock proteins research 2
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Pierre De Meyts (6 shared papers)Gergely Katona (9 shared papers)María-José García-Bonete (7 shared papers)Rehannah Borup (4 shared papers)Jane Palsgaard (4 shared papers)Lauge Schäffer (2 shared papers)Birgitte Ursø (1 shared paper)Bente Langvad Hansen (1 shared paper)
- Journals
- iScience (1 paper)Scientific Reports (1 paper)Annals of the Rheumatic Diseases (1 paper)Cell Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- SwedenDenmarkUnited States
In The Last Decade
Maja Jensen
13 papers receiving 376 citations
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 27
- Endocrinology, Diabetes and Metabolism 82
- Molecular Biology 237
- Physiology 77
- Cancer Research 30
Countries citing papers authored by Maja Jensen
This map shows the geographic impact of Maja Jensen'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 Jensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Jensen more than expected).
Fields of papers citing papers by Maja Jensen
This network shows the impact of papers produced by Maja Jensen. 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 Jensen. The network helps show where Maja Jensen may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Jensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 84 | |
| 2 | 2018 | 69 | |
| 3 | 2007 | 68 | |
| 4 | 2009 | 55 | |
| 5 | 2013 | 34 | |
| 6 | 2008 | 29 | |
| 7 | 2008 | 20 | |
| 8 | 2017 | 10 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | European pilot study on the regulatory review of the safety case for geological disposal of radioactive waste | 2008 | 2 |
| 15 | Stubbrytningens klimatpåverkan : en studie av stubbrytningens kortsiktiga effekter på koldioxidbalansen i boreal barrskog | 2014 | 1 |
| 16 | Hydrology and surface water chemistry in a small forested catchment : which factors influence surface water acidity? | 2017 | 0 |
| 17 | 2025 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2021 | 0 |
About Maja Jensen
Maja Jensen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Computational Mechanics, having authored 19 papers that have together received 387 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pancreatic function and diabetes (2 papers), Genomics and Chromatin Dynamics (2 papers), Adipose Tissue and Metabolism (2 papers), Heat shock proteins research (2 papers), Field-Flow Fractionation Techniques (2 papers) and thermodynamics and calorimetric analyses (2 papers). The work is most often cited by research in Human-Computer Interaction (27 citations), Endocrinology, Diabetes and Metabolism (82 citations), Molecular Biology (237 citations), Physiology (77 citations) and Cancer Research (30 citations). Maja Jensen has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Pierre De Meyts, Gergely Katona, María-José García-Bonete, Rehannah Borup, Jane Palsgaard, Lauge Schäffer, Birgitte Ursø, Bente Langvad Hansen, Heidi Storgaard and Camilla Spohr. Their work appears in journals such as iScience, Scientific Reports, Annals of the Rheumatic Diseases, Cell Reports and Frontiers in Immunology.
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.