Günter Krause

1.7k total citations
45 papers, 1.3k citations indexed

About

Günter Krause is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Günter Krause has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Genetics and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Günter Krause's work include Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (7 papers) and Glycosylation and Glycoproteins Research (5 papers). Günter Krause is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (7 papers) and Glycosylation and Glycoproteins Research (5 papers). Günter Krause collaborates with scholars based in Germany, Sweden and United States. Günter Krause's co-authors include Arne Holmgren, Johan N. Lundström, Michael Hallek, Carmen Cuesta, Clemens‐Martin Wendtner, Michaela Patz, Gerhard Scherer, Lukas P. Frenzel, Christian P. Pallasch and Christian Klein and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Biochemistry.

In The Last Decade

Günter Krause

45 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Günter Krause Germany 17 793 322 223 212 191 45 1.3k
Jeffrey H. Till United States 11 1.3k 1.6× 205 0.6× 144 0.6× 75 0.4× 173 0.9× 12 1.9k
Martin Schröder Germany 21 678 0.9× 240 0.7× 99 0.4× 191 0.9× 134 0.7× 45 1.3k
Zee-Fen Chang Taiwan 23 1.0k 1.3× 184 0.6× 429 1.9× 88 0.4× 135 0.7× 59 1.7k
Yukimasa Shiotsu Japan 22 1.1k 1.4× 175 0.5× 250 1.1× 71 0.3× 235 1.2× 47 1.8k
Rekha Rao United States 25 1.8k 2.2× 281 0.9× 238 1.1× 89 0.4× 170 0.9× 49 2.2k
Jonathan R. Hart United States 24 1.5k 1.9× 148 0.5× 124 0.6× 125 0.6× 150 0.8× 47 1.9k
Uwe Jacob Germany 24 1.3k 1.6× 109 0.3× 120 0.5× 105 0.5× 590 3.1× 29 2.0k
Sudharshan Eathiraj United States 16 893 1.1× 146 0.5× 597 2.7× 192 0.9× 112 0.6× 38 1.5k
Alexei Vassilev United States 21 574 0.7× 231 0.7× 151 0.7× 119 0.6× 319 1.7× 49 1.4k
Beth Apsel United States 7 1.1k 1.4× 133 0.4× 95 0.4× 132 0.6× 161 0.8× 7 1.5k

Countries citing papers authored by Günter Krause

Since Specialization
Citations

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

Fields of papers citing papers by Günter Krause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günter Krause

This figure shows the co-authorship network connecting the top 25 collaborators of Günter Krause. A scholar is included among the top collaborators of Günter Krause 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 Günter Krause. Günter Krause 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.
Neumann, Lars, Stuart J. Blakemore, J. Raúl Alvarez‐Idaboy, et al.. (2023). Functional impact and molecular binding modes of drugs that target the PI3K isoform p110δ. Communications Biology. 6(1). 603–603. 1 indexed citations
2.
Krause, Günter, et al.. (2018). Copanlisib for treatment of B-cell malignancies: the development of a PI3K inhibitor with considerable differences to idelalisib. Drug Design Development and Therapy. Volume 12. 2577–2590. 52 indexed citations
3.
Patz, Michaela, Iris Gehrke, Julia Claasen, et al.. (2012). Comparison of the Effects of Two Kinase Inhibitors, Sorafenib and Dasatinib, on Chronic Lymphocytic Leukemia Cells. Oncology Research and Treatment. 35(7-8). 420–426. 9 indexed citations
4.
Sitnikov, Nikolay S., Janna Velder, Jörg‐M. Neudörfl, et al.. (2012). Total Synthesis of Indole‐Derived Allocolchicine Analogues Exhibiting Strong Apoptosis‐Inducing Activity. Chemistry - A European Journal. 18(38). 12096–12102. 29 indexed citations
5.
Patz, Michaela, Lukas P. Frenzel, Clemens‐Martin Wendtner, et al.. (2010). Comparison of the in vitro effects of the anti‐CD20 antibodies rituximab and GA101 on chronic lymphocytic leukaemia cells. British Journal of Haematology. 152(3). 295–306. 101 indexed citations
6.
Reinart, Nina, Cornelia Rudolph, Günter Krause, et al.. (2008). Macrophage Migration Inhibitory Factor (MIF) Promotes the Development of Murine Chronic Lymphocytic Leukemia (CLL). Blood. 112(11). 27–27. 1 indexed citations
7.
Obermeier, Axel, et al.. (2007). Role of p21WAF1/CIP1 as an attenuator of both proliferative and drug-induced apoptotic signals in BCR-ABL-transformed hematopoietic cells. Annals of Hematology. 87(3). 183–193. 15 indexed citations
8.
Kleinau, Gunnar, Maren Claus, Sabine Müller, et al.. (2007). Molecular mechanism at the TSH receptor: Modulation of signalling activity via extracellular loop 2. Experimental and Clinical Endocrinology & Diabetes. 115(S 1). 1 indexed citations
9.
10.
Neumann, Susanne, et al.. (2001). A Free Carboxylate Oxygen in the Side Chain of Position 674 in Transmembrane Domain 7 Is Necessary for TSH Receptor Activation. Molecular Endocrinology. 15(8). 1294–1305. 39 indexed citations
11.
Krause, Günter, et al.. (1999). Spontaneous and chemically induced point mutations in HPRT cDNA of the metabolically competent human lymphoblastoid cell line, MCL-5. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 431(2). 417–428. 9 indexed citations
12.
Krause, Günter, et al.. (1998). Rapid characterization of mutations in amplified human hprt cDNA by polyacrylamide gel electrophoresis. PubMed. 406(1). 33–43. 3 indexed citations
14.
Haney, Jamie, et al.. (1997). Absence of p53 Mutations in Squamous Carcinomas of the Tongue in Nonsmoking and Nondrinking Patients Younger Than 40 Years. Archives of Otolaryngology - Head and Neck Surgery. 123(5). 503–506. 57 indexed citations
15.
Krause, Günter, et al.. (1997). Applications of consensus polymerase chain reaction with subsequent electrophoretic distinction of amplificates. Electrophoresis. 18(7). 1098–1102. 1 indexed citations
16.
Krause, Günter, et al.. (1997). P XI A.3 Induction and selection of HPRT-mutations in human lymphoblastoid cell lines and analysis of point mutations at the cDNA-level. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 379(1). S79–S79. 1 indexed citations
17.
Krause, Günter, et al.. (1994). Distribution of membrane bound guanylyl cyclases in human intestine.. Gut. 35(9). 1250–1257. 16 indexed citations
19.
Chandrasekhar, K., Günter Krause, Arne Holmgren, & H. Jane Dyson. (1991). Assignment of the 15N NMR spectra of reduced and oxidized Escherichia coli thioredoxin. FEBS Letters. 284(2). 178–183. 36 indexed citations
20.
Krause, Günter, et al.. (1991). Mimicking the active site of protein disulfide-isomerase by substitution of proline 34 in Escherichia coli thioredoxin. Journal of Biological Chemistry. 266(15). 9494–9500. 227 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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