Georg Weitzer

1.9k total citations
26 papers, 1.6k citations indexed

About

Georg Weitzer is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Georg Weitzer has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cell Biology and 4 papers in Surgery. Recurrent topics in Georg Weitzer's work include Skin and Cellular Biology Research (9 papers), Pluripotent Stem Cells Research (9 papers) and RNA Research and Splicing (7 papers). Georg Weitzer is often cited by papers focused on Skin and Cellular Biology Research (9 papers), Pluripotent Stem Cells Research (9 papers) and RNA Research and Splicing (7 papers). Georg Weitzer collaborates with scholars based in Austria, United States and Netherlands. Georg Weitzer's co-authors include Yassemi Capetanaki, Derek J. Milner, Allan Bradley, Daisy Tran, Gerhard Wiche, M. Stewart, B Becker, Christian Stratowa, R Hauptmann and M Castañón and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Circulation Research.

In The Last Decade

Georg Weitzer

26 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Weitzer Austria 19 1.3k 592 214 186 120 26 1.6k
Takao Hijikata Japan 17 654 0.5× 254 0.4× 208 1.0× 111 0.6× 89 0.7× 35 1.0k
Laure Gambardella United Kingdom 23 1.3k 1.0× 355 0.6× 90 0.4× 294 1.6× 91 0.8× 30 2.2k
Victor K. Lin United States 18 1.8k 1.4× 285 0.5× 265 1.2× 362 1.9× 127 1.1× 49 2.5k
Debora Rapaport Israel 19 805 0.6× 439 0.7× 140 0.7× 91 0.5× 113 0.9× 30 1.2k
Hugo C. Olguín Chile 16 1.2k 1.0× 277 0.5× 108 0.5× 369 2.0× 72 0.6× 26 1.6k
Leslie Houghton United States 8 1.0k 0.8× 247 0.4× 104 0.5× 139 0.7× 118 1.0× 10 1.2k
Serge A. Leibovitch France 22 1.4k 1.1× 334 0.6× 101 0.5× 77 0.4× 122 1.0× 57 1.7k
Yan Geng China 11 1.1k 0.9× 116 0.2× 179 0.8× 139 0.7× 115 1.0× 28 1.3k
Mauricio Moreno Chile 17 895 0.7× 475 0.8× 44 0.2× 357 1.9× 180 1.5× 22 1.6k
Joseph X. DiMario United States 18 1.2k 0.9× 156 0.3× 170 0.8× 206 1.1× 135 1.1× 41 1.3k

Countries citing papers authored by Georg Weitzer

Since Specialization
Citations

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

Fields of papers citing papers by Georg Weitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Weitzer

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Weitzer. A scholar is included among the top collaborators of Georg Weitzer 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 Georg Weitzer. Georg Weitzer 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.
Večeřa, Josef, Eva Bártová, Jana Krejčí, et al.. (2017). HDAC1 and HDAC3 underlie dynamic H3K9 acetylation during embryonic neurogenesis and in schizophrenia‐like animals. Journal of Cellular Physiology. 233(1). 530–548. 60 indexed citations
2.
Koenig, Xaver, Philipp Heher, Michael Schnürch, et al.. (2014). Small Molecule Cardiogenol C Upregulates Cardiac Markers and Induces Cardiac Functional Properties in Lineage-Committed Progenitor Cells. Cellular Physiology and Biochemistry. 33(1). 205–221. 5 indexed citations
3.
David, Robert, Ralf Dressel, Mia Emgård, et al.. (2013). Reconsidering pluripotency tests: Do we still need teratoma assays?. Stem Cell Research. 11(1). 552–562. 63 indexed citations
4.
Heher, Philipp, Xaver Koenig, Michael P. Schön, et al.. (2013). VUT-MK142 : a new cardiomyogenic small molecule promoting the differentiation of pre-cardiac mesoderm into cardiomyocytes. MedChemComm. 4(8). 1189–1189. 9 indexed citations
5.
6.
Taubenschmid, Jasmin & Georg Weitzer. (2012). Mechanisms of Cardiogenesis in Cardiovascular Progenitor Cells. International review of cell and molecular biology. 293. 195–267. 10 indexed citations
7.
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
8.
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
9.
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
10.
Hofner, Manuela, et al.. (2007). Differentiation of cardiomyocytes requires functional serine residues within the amino-terminal domain of desmin. Differentiation. 75(7). 616–626. 21 indexed citations
11.
Hofner, Manuela, et al.. (2007). Desmin stimulates differentiation of cardiomyocytes and up-regulation of brachyury and nkx2.5. Differentiation. 75(7). 605–615. 23 indexed citations
12.
Schneider, Mikael, et al.. (2006). Parietal endoderm secreted S100A4 promotes early cardiomyogenesis in embryoid bodies. Biochemical and Biophysical Research Communications. 343(2). 555–563. 28 indexed citations
13.
Weitzer, Georg. (2006). Embryonic Stem Cell-Derived Embryoid Bodies: An In Vitro Model of Eutherian Pregastrulation Development and Early Gastrulation. Handbook of experimental pharmacology. 21–51. 55 indexed citations
14.
Lauss, Martin, et al.. (2005). Single inner cell masses yield embryonic stem cell lines differing in lifr expression and their developmental potential. Biochemical and Biophysical Research Communications. 331(4). 1577–1586. 21 indexed citations
15.
Eger, Andreas, et al.. (2005). Parietal endoderm secreted SPARC promotes early cardiomyogenesis in vitro. Experimental Cell Research. 310(2). 331–343. 33 indexed citations
16.
17.
Weitzer, Georg, et al.. (2001). Paracrine promotion of cardiomyogenesis in embryoid bodies by LIF modulated endoderm. Differentiation. 68(1). 31–43. 43 indexed citations
18.
Hergovich, Alexander, et al.. (2001). High-Throughput Site-Directed Mutagenesis in ES Cells. Biochemical and Biophysical Research Communications. 289(2). 329–336. 4 indexed citations
19.
Weitzer, Georg, et al.. (1995). Cytoskeletal Control of Myogenesis: A Desmin Null Mutation Blocks the Myogenic Pathway during Embryonic Stem Cell Differentiation. Developmental Biology. 172(2). 422–439. 100 indexed citations
20.
Weitzer, Georg & Gerhard Wiche. (1987). Plectin from bovine lenses. Chemical properties, structural analysis and initial identification of interaction partners. European Journal of Biochemistry. 169(1). 41–52. 27 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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