Stefan Selbert

1.1k total citations
11 papers, 824 citations indexed

About

Stefan Selbert is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Stefan Selbert has authored 11 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Oncology. Recurrent topics in Stefan Selbert's work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Animal Genetics and Reproduction (3 papers). Stefan Selbert is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Animal Genetics and Reproduction (3 papers). Stefan Selbert collaborates with scholars based in Germany, United Kingdom and Japan. Stefan Selbert's co-authors include Rachel Chapman, Christine J. Watson, Elizabeth Tonner, Alan R. Clarke, Paula C. Lourenco, Shizuo Akira, Kohsuke Takeda, D. J. Flint, Darren Bentley and Bernd K. Fleischmann and has published in prestigious journals such as Genes & Development, The FASEB Journal and Journal of Cell Science.

In The Last Decade

Stefan Selbert

9 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Selbert Germany 6 507 359 154 140 120 11 824
Kerstin Dehne Germany 11 471 0.9× 295 0.8× 121 0.8× 147 1.1× 38 0.3× 16 890
Evelyn Aranda United States 11 412 0.8× 210 0.6× 68 0.4× 106 0.8× 80 0.7× 12 753
Emel Esen United States 9 662 1.3× 206 0.6× 92 0.6× 73 0.5× 115 1.0× 10 965
Jenean O’Brien United States 13 356 0.7× 590 1.6× 72 0.5× 241 1.7× 127 1.1× 15 1.1k
Oliver Umland United States 15 284 0.6× 237 0.7× 173 1.1× 236 1.7× 88 0.7× 22 722
Karin Zins Austria 13 399 0.8× 289 0.8× 54 0.4× 295 2.1× 56 0.5× 22 806
Yuzhen Feng China 14 462 0.9× 230 0.6× 46 0.3× 100 0.7× 145 1.2× 30 827
Sidhartha Tulachan United States 17 686 1.4× 354 1.0× 473 3.1× 114 0.8× 277 2.3× 27 1.2k
Veerle Noë Belgium 8 611 1.2× 360 1.0× 105 0.7× 88 0.6× 43 0.4× 8 1.1k
Holly Martinson United States 15 252 0.5× 403 1.1× 70 0.5× 282 2.0× 67 0.6× 22 867

Countries citing papers authored by Stefan Selbert

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Selbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Selbert

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

All Works

11 of 11 papers shown
1.
Rolvien, Tim, Simon von Kroge, Till Koehne, et al.. (2020). Gnathodiaphyseal dysplasia is not recapitulated in a respective mouse model carrying a mutation of the Ano5 gene. Bone Reports. 12. 100281–100281. 3 indexed citations
2.
Deindl, Elisabeth, Guido Middeler, Oliver J. Müller, et al.. (2006). Identification of a 94-bp GC-Rich Element in the Smooth Muscle Myosin Heavy-Chain Promoter Controlling Vascular Smooth Muscle Cell-Specific Gene Expression. Cell Biochemistry and Biophysics. 45(3). 279–288. 1 indexed citations
3.
Chapman, Rachel, Paula C. Lourenco, Elizabeth Tonner, et al.. (2005). The Role of Stat3 in Apoptosis and Mammary Gland Involution. Kluwer Academic Publishers eBooks. 480. 129–138. 64 indexed citations
4.
Selbert, Stefan, et al.. (2003). Analysis of Transgenic Mice. Humana Press eBooks. 180. 305–341. 2 indexed citations
5.
Selbert, Stefan & Wolfgang-M. Franz. (2002). Myocardial Tissue Engineering. PubMed. 47–66.
6.
Müller, Matthias, Bernd K. Fleischmann, Stefan Selbert, et al.. (2000). Selection of ventricular‐like cardiomyocytes from ES cells in vitro. The FASEB Journal. 14(15). 2540–2548. 209 indexed citations
7.
Chapman, Rachel, Paula C. Lourenco, Elizabeth Tonner, et al.. (1999). Suppression of epithelial apoptosis and delayed mammary gland involution in mice with a conditional knockout of Stat3. Genes & Development. 13(19). 2604–2616. 392 indexed citations
8.
Selbert, Stefan. (1999). Genmanipulation nach Wunsch: gewebsspezifisch und induzierbar. Biologie in unserer Zeit. 29(2). 70–78.
9.
Selbert, Stefan & Darren Bentley. (1998). Efficient BLG-Cre Mediated Gene Deletion in the Mammary Gland. Transgenic Research. 7(5). 387–398. 84 indexed citations
10.
Selbert, Stefan, Petra Fischer, André Menke, et al.. (1996). Annexin VII Relocalization as a Result of Dystrophin Deficiency. Experimental Cell Research. 222(1). 199–208. 23 indexed citations
11.
Selbert, Stefan, Petra Fischer, D. Pongratz, Murray Stewart, & Angelika A. Noegel. (1995). Expression and localization of annexin VII (synexin) in muscle cells. Journal of Cell Science. 108(1). 85–95. 46 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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