Sabine Lagger

2.0k total citations
23 papers, 1.2k citations indexed

About

Sabine Lagger is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Sabine Lagger has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Hematology. Recurrent topics in Sabine Lagger's work include Epigenetics and DNA Methylation (13 papers), Histone Deacetylase Inhibitors Research (11 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Sabine Lagger is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Histone Deacetylase Inhibitors Research (11 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Sabine Lagger collaborates with scholars based in Austria, United Kingdom and United States. Sabine Lagger's co-authors include Christian Seiser, Reinhard Brunmeir, Lukas Kenner, Astrid Hagelkrüys, Reinhard Grausenburger, Gordin Zupkovitz, Jennifer Jurkin, Oliver Pusch, Suzanne D. Turner and Huan-Chang Liang and has published in prestigious journals such as The EMBO Journal, Blood and Nature Immunology.

In The Last Decade

Sabine Lagger

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabine Lagger Austria 17 924 306 139 105 81 23 1.2k
Wendy Bushell United Kingdom 4 877 0.9× 318 1.0× 73 0.5× 174 1.7× 62 0.8× 4 1.3k
Michael Nefedov United States 6 977 1.1× 358 1.2× 74 0.5× 161 1.5× 83 1.0× 6 1.4k
Bruno Di Stefano United States 22 2.0k 2.2× 463 1.5× 185 1.3× 125 1.2× 154 1.9× 40 2.3k
Manousos Koutsourakis United Kingdom 3 924 1.0× 324 1.1× 67 0.5× 156 1.5× 66 0.8× 5 1.3k
Seiya Mizuno Japan 20 755 0.8× 270 0.9× 232 1.7× 165 1.6× 53 0.7× 101 1.4k
Seth S. Margolis United States 19 1.3k 1.4× 378 1.2× 237 1.7× 67 0.6× 76 0.9× 34 1.6k
Peter M. Kroisel Austria 16 935 1.0× 658 2.2× 76 0.5× 124 1.2× 65 0.8× 38 1.5k
Evica Rajcan‐Separovic Canada 24 775 0.8× 770 2.5× 135 1.0× 166 1.6× 106 1.3× 58 1.6k
Muriel Vernet France 15 980 1.1× 176 0.6× 109 0.8× 111 1.1× 86 1.1× 20 1.4k
Laurence Delacroix Belgium 17 709 0.8× 201 0.7× 159 1.1× 157 1.5× 133 1.6× 27 1.0k

Countries citing papers authored by Sabine Lagger

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Lagger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Lagger

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

All Works

20 of 20 papers shown
1.
Laffer, Sylvia, Patricia Widmayer, David Martin, et al.. (2025). Aging Reduces Intestinal Stem Cell Activity in Killifish and Intermittent Fasting Reverses Intestinal Gene Expression Patterns. Aging Cell. 24(11). e70229–e70229.
2.
Grausenburger, Reinhard, Thorsten Klampfl, Michaela Prchal‐Murphy, et al.. (2021). A STAT5B–CD9 axis determines self-renewal in hematopoietic and leukemic stem cells. Blood. 138(23). 2347–2359. 26 indexed citations
3.
4.
Grundschober, Eva, Barbara Maurer, Wolfgang Warsch, et al.. (2019). Twins with different personalities: STAT5B—but not STAT5A—has a key role in BCR/ABL-induced leukemia. Leukemia. 33(7). 1583–1597. 34 indexed citations
5.
Staber, Philipp B., Christoph Kornauth, Wilhelm Woessmann, et al.. (2019). Imatinib +/- Brentuximab Vedotin Induces Sustained Complete Remission in Chemotherapy-Resistant Anaplastic Large Cell Lymphoma Expressing PDGFR. Blood. 134(Supplement_1). 4037–4037. 1 indexed citations
6.
Zupkovitz, Gordin, Sabine Lagger, David Martin, et al.. (2018). Histone deacetylase 1 expression is inversely correlated with age in the short-lived fish Nothobranchius furzeri. Histochemistry and Cell Biology. 150(3). 255–269. 12 indexed citations
7.
Liang, Huan-Chang, et al.. (2018). The Role of Activator Protein-1 (AP-1) Family Members in CD30-Positive Lymphomas. Cancers. 10(4). 93–93. 111 indexed citations
8.
Lagger, Sabine, John Connelly, Gabriele Schweikert, et al.. (2017). MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain. PLoS Genetics. 13(5). e1006793–e1006793. 101 indexed citations
9.
Selfridge, Jim, Sabine Lagger, John Connelly, et al.. (2015). The molecular basis of variable phenotypic severity among common missense mutations causing Rett syndrome. Human Molecular Genetics. 25(3). 558–570. 72 indexed citations
10.
Boucheron, Nicole, Roland Tschismarov, Lisa Göschl, et al.. (2014). CD4+ T cell lineage integrity is controlled by the histone deacetylases HDAC1 and HDAC2. Nature Immunology. 15(5). 439–448. 63 indexed citations
11.
Hagelkrüys, Astrid, Sabine Lagger, Alexandra Leopoldi, et al.. (2014). A single allele of Hdac2 but not Hdac1 is sufficient for normal mouse brain development in the absence of its paralog. Development. 141(3). 604–616. 70 indexed citations
12.
13.
Fuchs, Christiane, et al.. (2011). Self-Organization Phenomena in Embryonic Stem Cell-Derived Embryoid Bodies: Axis Formation and Breaking of Symmetry during Cardiomyogenesis. Cells Tissues Organs. 195(5). 377–391. 38 indexed citations
14.
Jurkin, Jennifer, Gordin Zupkovitz, Sabine Lagger, et al.. (2011). Distinct and redundant functions of histone deacetylases HDAC1 and HDAC2 in proliferation and tumorigenesis. Cell Cycle. 10(3). 406–412. 95 indexed citations
15.
Lagger, Sabine, Dominique Meunier, Mario Mikula, et al.. (2011). Crucial function of histone deacetylase 1 for differentiation of teratomas in mice and humans. The EMBO Journal. 30(8). 1671–1671. 2 indexed citations
16.
Lagger, Sabine, et al.. (2010). Expression of class I histone deacetylases during chick and mouse development. The International Journal of Developmental Biology. 54(10). 1525–1535. 32 indexed citations
17.
Lagger, Sabine, Dominique Meunier, Mario Mikula, et al.. (2010). Crucial function of histone deacetylase 1 for differentiation of teratomas in mice and humans. The EMBO Journal. 29(23). 3992–4007. 34 indexed citations
18.
Brunmeir, Reinhard, Sabine Lagger, Elisabeth Simboeck, et al.. (2010). Epigenetic Regulation of a Murine Retrotransposon by a Dual Histone Modification Mark. PLoS Genetics. 6(4). e1000927–e1000927. 53 indexed citations
19.
Colak, Dilek, Leda Dimou, Sabine Lagger, et al.. (2010). The specific role of histone deacetylase 2 in adult neurogenesis. PubMed. 6(2). 93–107. 95 indexed citations
20.
Brunmeir, Reinhard, Sabine Lagger, & Christian Seiser. (2009). Histone deacetylase HDAC1/HDAC2-controlled embryonic development and cell differentiation. The International Journal of Developmental Biology. 53(2-3). 275–289. 149 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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