Maja Jensen

563 citations
18 papers · 394 · h-index 8

Impact in

Papers in

Maja Jensen

14 papers receiving 383 citations

Peers

Maja Jensen
Comparison fields: 5 of 97
  • Human-Computer Interaction 27
  • Endocrinology, Diabetes and Metabolism 73
  • Molecular Biology 216
  • Physiology 64
  • Cancer Research 29
Replace Kati Kemppainen with:
Kati Kemppainen Finland
Louise Howard United Kingdom
Tie Chen China
Yongbin Chen China
Yuki Hirano Japan
Edward Zhou United States
M. E. Morton United States
Yu-Fei Zhang China
Alexis Hall United States
Maja Jensen relative to Kati Kemppainen Finland Kati Kemppainen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maja Jensen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Maja Jensen Line = papers co-authored together Maja Jensen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200986
2 201870
3 200769
4 200955
5 201334
6 200829
7 200820
8 201710
9 20245
10 20225
11 20223
12 20202
13 20232
14
European pilot study on the regulatory review of the safety case for geological disposal of radioactive waste
20082
15 20211
16
Stubbrytningens klimatpåverkan : en studie av stubbrytningens kortsiktiga effekter på koldioxidbalansen i boreal barrskog
20141
17
Hydrology and surface water chemistry in a small forested catchment : which factors influence surface water acidity?
20170
18 20210

About Maja Jensen

Maja Jensen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Computational Mechanics and Physical and Theoretical Chemistry, having authored 18 papers that have together received 394 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Heat shock proteins research (2 papers), Field-Flow Fractionation Techniques (2 papers), Enzyme Structure and Function (2 papers), Genomics and Chromatin Dynamics (2 papers), Pancreatic function and diabetes (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 (73 citations), Molecular Biology (216 citations), Physiology (64 citations) and Cancer Research (29 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, Jane Palsgaard, Rehannah Borup, Lauge Schäffer, Bente Langvad Hansen, Birgitte Ursø, Heidi Storgaard and Helena Domínguez. Their work appears in journals such as iScience, Cell Reports, PLoS ONE, Journal of Synchrotron Radiation and Vitamins and hormones.

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.

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