G Sauter

2.4k total citations
11 papers, 1.8k citations indexed

About

G Sauter is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, G Sauter has authored 11 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Surgery. Recurrent topics in G Sauter's work include Bladder and Urothelial Cancer Treatments (3 papers), Prostate Cancer Treatment and Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). G Sauter is often cited by papers focused on Bladder and Urothelial Cancer Treatments (3 papers), Prostate Cancer Treatment and Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). G Sauter collaborates with scholars based in United States, Switzerland and Finland. G Sauter's co-authors include Olli Kallioniemi, Juha Kononen, Lukas Bubendorf, Thomas C. Gasser, Peter Schraml, Niels Willi, Holger Moch, Pasi A. Koivisto, M. J. Mihatsch and Holger Moch and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Pathology - Research and Practice.

In The Last Decade

G Sauter

11 papers receiving 1.7k citations

Peers

G Sauter
Colin Marsh United Kingdom
Shi‐Ming Tu United States
Ossi R. Köchli Switzerland
Tobias Zellweger Switzerland
J Isola Finland
Umesh Bhanot United States
Colin Marsh United Kingdom
G Sauter
Citations per year, relative to G Sauter G Sauter (= 1×) peers Colin Marsh

Countries citing papers authored by G Sauter

Since Specialization
Citations

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

Fields of papers citing papers by G Sauter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Sauter

This figure shows the co-authorship network connecting the top 25 collaborators of G Sauter. A scholar is included among the top collaborators of G Sauter 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 G Sauter. G Sauter 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.
Trepel, Martin, Thorsten Schlomm, Hartwig Huland, et al.. (2011). Relationship of T lymphocytes, T regulatory cells, and B lymphocytes to clinical outcome in prostate cancer.. Journal of Clinical Oncology. 29(15_suppl). 4632–4632. 1 indexed citations
2.
Tapia, C., Peter Schraml, R. Simon, et al.. (2004). HER-2 analysis in breast cancer: reduced immunoreactivity in FISH non-informative cancer biopsies. Pathology - Research and Practice. 200(4). 305–305. 2 indexed citations
3.
Insabato, Luigi, Barbara Bernasconi, C. Capella, et al.. (2002). High-throughput tissue microarray FISH analysis in 226 surgically resected gastric B-cell lymphomas. Frequencies of trisomy 1, 3, 12 and gains of X chromosome. 15. 1 indexed citations
4.
Mousses, Spyro, Lukas Bubendorf, Urs Wagner, et al.. (2002). Clinical validation of candidate genes associated with prostate cancer progression in the CWR22 model system using tissue microarrays.. PubMed. 62(5). 1256–60. 133 indexed citations
5.
Bärlund, Maarit, Farahnaz Forozan, Juha Kononen, et al.. (2000). Detecting Activation of Ribosomal Protein S6 Kinase by Complementary DNA and Tissue Microarray Analysis. JNCI Journal of the National Cancer Institute. 92(15). 1252–1259. 234 indexed citations
6.
Bowen, Cai, Lukas Bubendorf, Heinz Voeller, et al.. (2000). Loss of NKX3.1 expression in human prostate cancers correlates with tumor progression.. PubMed. 60(21). 6111–5. 281 indexed citations
7.
Bubendorf, Lukas, Juha Kononen, Pasi A. Koivisto, et al.. (1999). Survey of gene amplifications during prostate cancer progression by high-throughout fluorescence in situ hybridization on tissue microarrays.. PubMed. 59(4). 803–6. 478 indexed citations
8.
Schraml, Peter, Juha Kononen, Lukas Bubendorf, et al.. (1999). Tissue microarrays for gene amplification surveys in many different tumor types.. PubMed. 5(8). 1966–75. 376 indexed citations
9.
Hovey, Regina M., L.W. Chu, Margit Balázs, et al.. (1998). Genetic alterations in primary bladder cancers and their metastases.. PubMed. 58(16). 3555–60. 84 indexed citations
10.
Richter, Jan, Feng Jiang, Gideon Sartorius, et al.. (1997). Marked genetic differences between stage pTa and stage pT1 papillary bladder cancer detected by comparative genomic hybridization.. PubMed. 57(14). 2860–4. 200 indexed citations
11.
Moch, Holger, G Sauter, F Gudat, F. Waldman, & Michael J. Mihatsch. (1993). [Ki-67 fraction, p53 alteration and numerical chromosome aberrations (chromosomes 7 and 17) in formalin fixed bladder tumors].. PubMed. 77. 226–30. 2 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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