Tom E. Andersen

428 total citations
8 papers, 301 citations indexed

About

Tom E. Andersen is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Tom E. Andersen has authored 8 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Genetics. Recurrent topics in Tom E. Andersen's work include Wnt/β-catenin signaling in development and cancer (3 papers), Mesenchymal stem cell research (2 papers) and Cancer-related gene regulation (2 papers). Tom E. Andersen is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (3 papers), Mesenchymal stem cell research (2 papers) and Cancer-related gene regulation (2 papers). Tom E. Andersen collaborates with scholars based in Denmark, Saudi Arabia and Germany. Tom E. Andersen's co-authors include Moustapha Kassem, Weimin Qiu, Basem M. Abdallah, Susanne Mandrup, Jens Bollerslev, Yuhui Hu, Wei Chen, Abbas Jafari, Na Li and Morten Frost and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Bone and Mineral Research.

In The Last Decade

Tom E. Andersen

8 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom E. Andersen Denmark 6 192 63 58 38 38 8 301
Ana Santos Netherlands 6 227 1.2× 23 0.4× 58 1.0× 33 0.9× 60 1.6× 6 346
Zohreh Khavandgar Canada 9 194 1.0× 19 0.3× 41 0.7× 60 1.6× 40 1.1× 15 366
G. Sabatakos United States 6 320 1.7× 31 0.5× 151 2.6× 55 1.4× 45 1.2× 7 417
Nuria Lara United States 7 268 1.4× 15 0.2× 50 0.9× 46 1.2× 70 1.8× 10 371
Oscar Ochoa United States 4 288 1.5× 97 1.5× 35 0.6× 23 0.6× 19 0.5× 6 420
Noelle White United States 4 254 1.3× 88 1.4× 55 0.9× 13 0.3× 35 0.9× 5 397
Backialakshmi Dharmalingam Germany 7 92 0.5× 58 0.9× 42 0.7× 21 0.6× 12 0.3× 11 236
Claudia Mischung Germany 6 234 1.2× 24 0.4× 63 1.1× 119 3.1× 22 0.6× 6 565
Mubashir Ahmad Germany 10 161 0.8× 24 0.4× 113 1.9× 33 0.9× 54 1.4× 18 358
Ron A. Deckelbaum Canada 8 248 1.3× 22 0.3× 108 1.9× 91 2.4× 42 1.1× 8 334

Countries citing papers authored by Tom E. Andersen

Since Specialization
Citations

This map shows the geographic impact of Tom E. Andersen'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 Tom E. Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom E. Andersen more than expected).

Fields of papers citing papers by Tom E. Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom E. Andersen. 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 Tom E. Andersen. The network helps show where Tom E. Andersen may publish in the future.

Co-authorship network of co-authors of Tom E. Andersen

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

All Works

8 of 8 papers shown
1.
Isa, Adiba, Jan O. Nehlin, Tom E. Andersen, et al.. (2010). Impaired Cell Surface Expression of HLA-B Antigens on Mesenchymal Stem Cells and Muscle Cell Progenitors. PLoS ONE. 5(5). e10900–e10900. 18 indexed citations
2.
Qiu, Weimin, Yuhui Hu, Tom E. Andersen, et al.. (2010). Tumor Necrosis Factor Receptor Superfamily Member 19 (TNFRSF19) Regulates Differentiation Fate of Human Mesenchymal (Stromal) Stem Cells through Canonical Wnt Signaling and C/EBP. Journal of Biological Chemistry. 285(19). 14438–14449. 61 indexed citations
3.
Andersen, Tom E., et al.. (2010). [Bone and cartilage repair using stem cells].. PubMed. 172(38). 2616–9. 5 indexed citations
4.
Frost, Morten, Tom E. Andersen, Vijay K. Yadav, et al.. (2010). Patients with high-bone-mass phenotype owing to Lrp5-T253I mutation have low plasma levels of serotonin. Journal of Bone and Mineral Research. 25(3). 673–675. 41 indexed citations
5.
Qiu, Weimin, Tom E. Andersen, Jens Bollerslev, et al.. (2007). Patients With High Bone Mass Phenotype Exhibit Enhanced Osteoblast Differentiation and Inhibition of Adipogenesis of Human Mesenchymal Stem Cells. Journal of Bone and Mineral Research. 22(11). 1720–1731. 143 indexed citations
6.
Agger, Ralf, Mikkel Steen Petersen, Charlotte Christie Petersen, et al.. (2006). T Cell Homing to Tumors Detected by 3D-coordinated Positron Emission Tomography and Magnetic Resonance Imaging. Journal of Immunotherapy. 30(1). 29–39. 16 indexed citations
7.
Gundersen, Hans Jørgen G., Søren B. Hansen, Albert Gjedde, et al.. (2004). Methodology for quantifying and visualizing cell homing/accumulation by combined positron emission tomography and magnetic resonance imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5369. 361–361. 1 indexed citations
8.
Andersen, Tom E., Bente Finsen, André M. Goffinet, Olaf‐Georg Issinger, & Brigitte Boldyreff. (2002). A reeler mutant mouse with a new, spontaneous mutation in the reelin gene. Molecular Brain Research. 105(1-2). 153–156. 16 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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