Maja Jensen

559 total citations
19 papers, 387 citations indexed

About

Maja Jensen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Maja Jensen has authored 19 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Maja Jensen's work include Metabolism, Diabetes, and Cancer (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Genomics and Chromatin Dynamics (2 papers). Maja Jensen is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Genomics and Chromatin Dynamics (2 papers). Maja Jensen collaborates with scholars based in Sweden, Denmark and United States. Maja Jensen's co-authors include Pierre De Meyts, Gergely Katona, María-José García-Bonete, Jane Palsgaard, Rehannah Borup, Lauge Schäffer, Birgitte Ursø, Bente Langvad Hansen, Charlotte Brøns and Allan Vaag and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Maja Jensen

13 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maja Jensen Sweden 8 237 82 77 70 32 19 387
Yongbin Chen China 11 233 1.0× 24 0.3× 35 0.5× 21 0.3× 28 0.9× 35 457
Yu Toyoshima Japan 12 301 1.3× 34 0.4× 66 0.9× 138 2.0× 35 1.1× 21 601
Louise Howard United Kingdom 10 464 2.0× 28 0.3× 17 0.2× 82 1.2× 37 1.2× 13 816
Yuki Hirano Japan 10 105 0.4× 32 0.4× 114 1.5× 71 1.0× 26 0.8× 33 359
Jakob Suckale Germany 5 155 0.7× 76 0.9× 31 0.4× 174 2.5× 37 1.2× 6 335
Ye Cao China 11 238 1.0× 25 0.3× 70 0.9× 64 0.9× 33 1.0× 30 519
Tie Chen China 10 120 0.5× 19 0.2× 13 0.2× 14 0.2× 21 0.7× 12 286
Chen‐Che Jeff Huang United States 13 254 1.1× 129 1.6× 38 0.5× 51 0.7× 9 0.3× 30 757
M. E. Morton United States 10 305 1.3× 52 0.6× 54 0.7× 38 0.5× 44 1.4× 36 484

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-authorship network of co-authors of Maja Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Jensen. A scholar is included among the top collaborators of Maja Jensen 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 Jensen. Maja Jensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Sodhro, Ali Hassan, et al.. (2025). Real-time efficiency of YOLOv5 and YOLOv8 in human intrusion detection across diverse environments and recommendation. Internet of Things. 33. 101707–101707.
2.
Recktenwald, Christian V., Göran Karlsson, María-José García-Bonete, et al.. (2024). The structure of the second CysD domain of MUC2 and role in mucin organization by transglutaminase-based cross-linking. Cell Reports. 43(5). 114207–114207. 4 indexed citations
3.
Jensen, Maja, María-José García-Bonete, Shuxiang Li, et al.. (2023). Survivin prevents the polycomb repressor complex 2 from methylating histone 3 lysine 27. iScience. 26(7). 106976–106976. 2 indexed citations
4.
Oparina, N. Yu., María-José García-Bonete, Caroline Wasén, et al.. (2022). Cohesin-Mediated Chromatin Interactions and Autoimmunity. Frontiers in Immunology. 13. 840002–840002. 4 indexed citations
5.
García-Bonete, María-José, et al.. (2022). Bayesian progress curve analysis of MicroScale thermophoresis data. Digital Discovery. 1(3). 325–332. 3 indexed citations
6.
Jensen, Maja, et al.. (2021). Estimating the probability of coincidental similarity between atomic displacement parameters with machine learning. Machine Learning Science and Technology. 2(3). 35033–35033.
7.
Katona, Gergely, Maria Bokarewa, Kerstin Andersson, et al.. (2021). POS0397 AGGREGATED SURVIVIN BINDING AROUND HISTONE H3 EPIGENETIC MODIFICATIONS IN RISK LOCI ASSOCIATED WITH RHEUMATOID ARTHRITIS. Annals of the Rheumatic Diseases. 80. 428–428.
8.
Jensen, Maja, Åsa Bengtsson, María-José García-Bonete, et al.. (2020). High-resolution macromolecular crystallography at the FemtoMAX beamline with time-over-threshold photon detection. Journal of Synchrotron Radiation. 28(1). 64–70. 2 indexed citations
9.
García-Bonete, María-José, Maja Jensen, & Gergely Katona. (2018). A practical guide to developing virtual and augmented reality exercises for teaching structural biology. Biochemistry and Molecular Biology Education. 47(1). 16–24. 69 indexed citations
10.
Jensen, Maja. (2017). Hydrology and surface water chemistry in a small forested catchment : which factors influence surface water acidity?. Lund University Publications Student Papers (Lund University).
11.
García-Bonete, María-José, Maja Jensen, Christian V. Recktenwald, et al.. (2017). Bayesian Analysis of MicroScale Thermophoresis Data to Quantify Affinity of Protein:Protein Interactions with Human Survivin. Scientific Reports. 7(1). 16816–16816. 10 indexed citations
12.
Jensen, Maja. (2014). Stubbrytningens klimatpåverkan : en studie av stubbrytningens kortsiktiga effekter på koldioxidbalansen i boreal barrskog. Lund University Publications Student Papers (Lund University). 1 indexed citations
13.
Versteyhe, Soetkin, Rehannah Borup, Jane Palsgaard, et al.. (2013). IGF-I, IGF-II, and Insulin Stimulate Different Gene Expression Responses through Binding to the IGF-I Receptor. Frontiers in Endocrinology. 4. 98–98. 34 indexed citations
14.
Jensen, Maja & Pierre De Meyts. (2009). Chapter 3 Molecular Mechanisms of Differential Intracellular Signaling From the Insulin Receptor. Vitamins and hormones. 80. 51–75. 55 indexed citations
15.
Palsgaard, Jane, Charlotte Brøns, Martin Friedrichsen, et al.. (2009). Gene Expression in Skeletal Muscle Biopsies from People with Type 2 Diabetes and Relatives: Differential Regulation of Insulin Signaling Pathways. PLoS ONE. 4(8). e6575–e6575. 84 indexed citations
16.
Palsgaard, Jane, Audrey E. Brown, Maja Jensen, et al.. (2008). Insulin-like growth factor I (IGF-I) is a more potent regulator of gene expression than insulin in primary human myoblasts and myotubes. Growth Hormone & IGF Research. 19(2). 168–178. 20 indexed citations
17.
Jensen, Maja, Jane Palsgaard, Rehannah Borup, Pierre De Meyts, & Lauge Schäffer. (2008). Activation of the insulin receptor (IR) by insulin and a synthetic peptide has different effects on gene expression in IR-transfected L6 myoblasts. Biochemical Journal. 412(3). 435–445. 29 indexed citations
18.
Jensen, Maja, et al.. (2008). European pilot study on the regulatory review of the safety case for geological disposal of radioactive waste. 2 indexed citations
19.
Jensen, Maja, Bente Langvad Hansen, Pierre De Meyts, Lauge Schäffer, & Birgitte Ursø. (2007). Activation of the Insulin Receptor by Insulin and a Synthetic Peptide Leads to Divergent Metabolic and Mitogenic Signaling and Responses. Journal of Biological Chemistry. 282(48). 35179–35186. 68 indexed citations

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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