Stefanie Hauser

3.0k total citations · 1 hit paper
18 papers, 2.6k citations indexed

About

Stefanie Hauser is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Stefanie Hauser has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Physiology. Recurrent topics in Stefanie Hauser's work include Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Cancer-related Molecular Pathways (4 papers). Stefanie Hauser is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Cancer-related Molecular Pathways (4 papers). Stefanie Hauser collaborates with scholars based in Germany, United States and Austria. Stefanie Hauser's co-authors include Guillaume Adelmant, Herbert A. Weich, Evan D. Rosen, Bruce M. Spiegelman, Amy E. Troy, Catherine McKeon, Regina P. Brun, Gretchen J. Darlington, Zhidan Wu and Harold M. Wright and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Molecular Cell.

In The Last Decade

Stefanie Hauser

18 papers receiving 2.5k citations

Hit Papers

Cross-Regulation of C/EBPα and PPARγ Controls the Transcr... 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefanie Hauser Germany 14 1.7k 775 481 431 323 18 2.6k
Ron F. Morrison United States 22 1.4k 0.8× 877 1.1× 677 1.4× 281 0.7× 268 0.8× 33 2.3k
Nicholas F. Brown United States 29 2.3k 1.3× 1.1k 1.4× 587 1.2× 353 0.8× 334 1.0× 60 3.9k
Sophie Lestavel France 29 2.0k 1.1× 759 1.0× 621 1.3× 763 1.8× 542 1.7× 62 3.8k
Kang Ho Kim United States 27 1.5k 0.9× 673 0.9× 1.0k 2.1× 679 1.6× 547 1.7× 64 3.4k
Aijuan Qu China 32 1.3k 0.8× 612 0.8× 662 1.4× 252 0.6× 596 1.8× 66 2.9k
Ngoc Vu‐Dac France 21 1.6k 0.9× 496 0.6× 698 1.5× 219 0.5× 349 1.1× 31 2.9k
Lingyan Xu China 25 1.0k 0.6× 627 0.8× 457 1.0× 304 0.7× 350 1.1× 105 2.2k
Motohiro Sekiya Japan 27 1.2k 0.7× 532 0.7× 746 1.6× 238 0.6× 506 1.6× 58 2.5k
Archana Vijayakumar United States 20 980 0.6× 557 0.7× 496 1.0× 260 0.6× 337 1.0× 32 2.1k
Yuzhi Jia United States 24 1.2k 0.7× 412 0.5× 329 0.7× 227 0.5× 257 0.8× 47 1.9k

Countries citing papers authored by Stefanie Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefanie Hauser. 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 Stefanie Hauser. The network helps show where Stefanie Hauser may publish in the future.

Co-authorship network of co-authors of Stefanie Hauser

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

All Works

18 of 18 papers shown
1.
Francke, Stephan, Pascal Wolter, Stefanie Hauser, et al.. (2016). An important role for Myb-MuvB and its target gene KIF23 in a mouse model of lung adenocarcinoma. Oncogene. 36(1). 110–121. 35 indexed citations
2.
3.
Hauser, Stefanie, et al.. (2012). GAS2L3, a novel target gene of the dream complex, is required for proper cytokinesis and genomic stability. Journal of Cell Science. 125(Pt 10). 2393–406. 36 indexed citations
4.
Hauser, Stefanie, Olaf Kunert, Xinghua Guo, et al.. (2012). Development and validation of an HPLC method to determine metabolites of 5‐hydroxymethylfurfural (5‐HMF). Journal of Separation Science. 35(19). 2567–2574. 13 indexed citations
5.
Houben, Roland, Christian Adam, Sonja Hesbacher, et al.. (2011). An intact retinoblastoma protein‐binding site in Merkel cell polyomavirus large T antigen is required for promoting growth of Merkel cell carcinoma cells. International Journal of Cancer. 130(4). 847–856. 163 indexed citations
7.
Reichert, Nina, Sebastian Wurster, Stefanie Hauser, et al.. (2010). Lin9, a Subunit of the Mammalian DREAM Complex, Is Essential for Embryonic Development, for Survival of Adult Mice, and for Tumor Suppression. Molecular and Cellular Biology. 30(12). 2896–2908. 50 indexed citations
8.
Osterloh, Lisa, Björn von Eyß, Fabienne Schmit, et al.. (2006). The human synMuv‐like protein LIN‐9 is required for transcription of G2/M genes and for entry into mitosis. The EMBO Journal. 26(1). 144–157. 102 indexed citations
9.
Schäfer, Andrea, Nina Reichert, José Luís Barbero, et al.. (2005). Silencing of the Meiotic Genes SMC1β and STAG3 in Somatic Cells by E2F6. Journal of Biological Chemistry. 280(50). 41380–41386. 27 indexed citations
10.
Gagrica, Sladjana, Stefanie Hauser, Ingrid Kolfschoten, et al.. (2004). Inhibition of oncogenic transformation by mammalian Lin‐9, a pRB‐associated protein. The EMBO Journal. 23(23). 4627–4638. 52 indexed citations
11.
Mueller, Elisabetta, Stavit Drori, Junming Yie, et al.. (2002). Genetic Analysis of Adipogenesis through Peroxisome Proliferator-activated Receptor γ Isoforms. Journal of Biological Chemistry. 277(44). 41925–41930. 210 indexed citations
12.
Hauser, Stefanie, Guillaume Adelmant, Pasha Sarraf, et al.. (2000). Degradation of the Peroxisome Proliferator-activated Receptor γ Is Linked to Ligand-dependent Activation. Journal of Biological Chemistry. 275(24). 18527–18533. 311 indexed citations
13.
Wright, Harold M., Clary B. Clish, Toshiyuki Mikami, et al.. (2000). A Synthetic Antagonist for the Peroxisome Proliferator-activated Receptor γ Inhibits Adipocyte Differentiation. Journal of Biological Chemistry. 275(3). 1873–1877. 328 indexed citations
14.
Wu, Zhidan, Evan D. Rosen, Regina P. Brun, et al.. (1999). Cross-Regulation of C/EBPα and PPARγ Controls the Transcriptional Pathway of Adipogenesis and Insulin Sensitivity. Molecular Cell. 3(2). 151–158. 864 indexed citations breakdown →
15.
Castillo, Gonzalo, et al.. (1999). Role and Regulation of PPARy During Adipogenesis. Journal of Animal Science. 77(suppl_3). 9–9. 5 indexed citations
16.
Jacobson, A., Stefanie Hauser, Charlotte F. Cole, et al.. (1997). Social Relationships Among Young Adults with Insulin‐dependent Diabetes Mellitus: Ten‐year Follow‐up of an Onset Cohort. Diabetic Medicine. 14(1). 73–79. 2 indexed citations
17.
Barleon, Bernhard, Stefanie Hauser, Claudia Schöllmann, et al.. (1994). Differential expression of the two VEGF receptors flt and KDR in placenta and vascular endothelial cells. Journal of Cellular Biochemistry. 54(1). 56–66. 130 indexed citations
18.
Hauser, Stefanie & Herbert A. Weich. (1993). A Heparin-Binding Form of Placenta Growth Factor (PlGF-2) is Expressed in Human Umbilical Vein Endothelial Cells and in Placenta. Growth Factors. 9(4). 259–268. 201 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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