Georg Sauermann

1.0k total citations
56 papers, 886 citations indexed

About

Georg Sauermann is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Georg Sauermann has authored 56 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 13 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Georg Sauermann's work include Nuclear Structure and Function (13 papers), Cancer, Hypoxia, and Metabolism (13 papers) and RNA and protein synthesis mechanisms (9 papers). Georg Sauermann is often cited by papers focused on Nuclear Structure and Function (13 papers), Cancer, Hypoxia, and Metabolism (13 papers) and RNA and protein synthesis mechanisms (9 papers). Georg Sauermann collaborates with scholars based in Austria, Germany and Slovakia. Georg Sauermann's co-authors include Christopher Gerner, Rudolf Grimm, Josef Gotzmann, Klaus Holzmann, Michael Meißner, Edward Penner, Eva Hitchman, Sergiy Lopato, Andrea Barta and Ingela Kindås-Mügge and has published in prestigious journals such as Hepatology, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Georg Sauermann

55 papers receiving 864 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 Sauermann Austria 19 641 115 99 88 70 56 886
Brian C.‐S. Liu United States 20 635 1.0× 127 1.1× 194 2.0× 64 0.7× 44 0.6× 44 1.3k
Richard T. Hamilton United States 17 475 0.7× 100 0.9× 115 1.2× 100 1.1× 20 0.3× 28 755
Peter R. Blier United States 10 641 1.0× 361 3.1× 136 1.4× 60 0.7× 47 0.7× 14 1.1k
M Błaszczyk United States 16 1.0k 1.6× 402 3.5× 202 2.0× 93 1.1× 84 1.2× 29 1.4k
Andrew J.K. Williamson United Kingdom 18 660 1.0× 125 1.1× 169 1.7× 59 0.7× 81 1.2× 35 1.0k
Marta Steiner‐Mosonyi Canada 13 390 0.6× 127 1.1× 91 0.9× 80 0.9× 52 0.7× 15 640
David L. Enfield United States 14 355 0.6× 61 0.5× 83 0.8× 56 0.6× 18 0.3× 15 851
David Sherris United States 16 459 0.7× 102 0.9× 119 1.2× 47 0.5× 49 0.7× 27 740
Arivusudar Marimuthu United States 14 606 0.9× 91 0.8× 190 1.9× 88 1.0× 34 0.5× 17 933
Alasdair C. Stamps United Kingdom 12 694 1.1× 71 0.6× 291 2.9× 318 3.6× 83 1.2× 16 1.0k

Countries citing papers authored by Georg Sauermann

Since Specialization
Citations

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

Fields of papers citing papers by Georg Sauermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Sauermann

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Sauermann. A scholar is included among the top collaborators of Georg Sauermann 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 Sauermann. Georg Sauermann 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.
Meißner, Michael, Sergiy Lopato, Josef Gotzmann, Georg Sauermann, & Andrea Barta. (2003). Proto-oncoprotein tls/fus is associated to the nuclear matrix and complexed with splicing factors ptb, srm160, and sr proteins. Experimental Cell Research. 283(2). 184–195. 95 indexed citations
2.
Gerner, Christopher, et al.. (2002). Proteome analysis of nuclear matrix proteins during apoptotic chromatin condensation. Cell Death and Differentiation. 9(6). 671–681. 58 indexed citations
3.
Gotzmann, Josef, Christopher Gerner, Michael Meißner, et al.. (2000). hNMP 200: A Novel Human Common Nuclear Matrix Protein Combining Structural and Regulatory Functions. Experimental Cell Research. 261(1). 166–179. 31 indexed citations
4.
Holzmann, Klaus, Christopher Gerner, Romana Schäfer, et al.. (2000). A Human Common Nuclear Matrix Protein Homologous to Eukaryotic Translation Initiation Factor 4A. Biochemical and Biophysical Research Communications. 267(1). 339–344. 29 indexed citations
5.
Sauermann, Georg, et al.. (1998). Urea analysis of extracts from stratum corneum and the role of urea-supplemented cosmetics. Journal of the Society of Cosmetic Chemists. 49(3). 155–163. 4 indexed citations
6.
Gerner, Christopher, Klaus Holzmann, Rudolf Grimm, & Georg Sauermann. (1998). Similarity between nuclear matrix proteins of various cells revealed by an improved isolation method. Journal of Cellular Biochemistry. 71(3). 363–374. 48 indexed citations
7.
Holzmann, Klaus, et al.. (1998). Identification and Characterization of the Ubiquitously Occurring Nuclear Matrix Protein NMP 238. Biochemical and Biophysical Research Communications. 252(1). 39–45. 38 indexed citations
8.
Holzmann, Klaus, et al.. (1998). A novel spliced transcript of human CLAPS2 encoding a protein alternative to clathrin adaptor protein AP17. Gene. 220(1-2). 39–44. 2 indexed citations
9.
Gerner, Christopher, Christian Seelos, & Georg Sauermann. (1998). Alteration of Nuclear Matrix Protein Composition during Apoptosis in Rat Embryo Cells. Experimental Cell Research. 238(2). 472–480. 15 indexed citations
10.
Holzmann, Klaus, et al.. (1997). Identification of Human Common Nuclear‐Matrix Proteins as Heterogeneous Nuclear Ribonucleoproteins H and H′ by Sequencing and Mass Spectrometry. European Journal of Biochemistry. 244(2). 479–486. 31 indexed citations
11.
Gotzmann, Josef, Andreas Eger, Rudolf Grimm, et al.. (1997). Two‐dimensional electrophoresis reveals a nuclear matrix‐associated nucleolin complex of basic isoelectric point. Electrophoresis. 18(14). 2645–2653. 26 indexed citations
12.
Gerner, Christopher, et al.. (1997). Common nuclear matrix proteins in rat tissues. Electrophoresis. 18(11). 2109–2115. 16 indexed citations
13.
Narendja, Frank & Georg Sauermann. (1994). The Use of Biotinylated Poly(ADP-Ribose) for Studies on Poly(ADP-Ribose)-Protein Interaction. Analytical Biochemistry. 220(2). 415–419. 2 indexed citations
14.
Węsierska‐Gądek, Józefa, Edward Penner, Eva Hitchman, & Georg Sauermann. (1990). Antibodies to nuclear lamin C in chronic hepatitis delta virus infection. Hepatology. 12(5). 1129–1133. 20 indexed citations
15.
Penner, Edward, et al.. (1990). Autoantibodies against different histone hi subtypes in systemic lupus erythematosus sera. Arthritis & Rheumatism. 33(8). 1273–1278. 22 indexed citations
16.
Penner, Edward, et al.. (1989). Antibodies to nuclear Lamin proteins in liver Disease. Immunological Investigations. 18(1-4). 365–372. 3 indexed citations
17.
Lindner, Herbert, et al.. (1989). Identification of adp-ribosylated histones by the combined use of high-performance liquid chromatography and electrophoresis. Journal of Chromatography A. 472(1). 243–249. 15 indexed citations
18.
Sauermann, Georg, et al.. (1988). The effect of poly(ADP‐ribose) on interactions of DNA with histones H1, H3 and H4. European Journal of Biochemistry. 173(3). 675–679. 24 indexed citations
19.
Sauermann, Georg & Józefa Węsierska‐Gądek. (1986). Poly(ADP-ribose) effectively competes with DNA for histone H4 binding. Biochemical and Biophysical Research Communications. 139(2). 523–529. 11 indexed citations
20.
Sauermann, Georg, et al.. (1973). Controlled labeling and release of ribonucleoprotein particles in “Nuclear columns”. FEBS Letters. 30(1). 93–96. 3 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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