Claus Krebber

859 total citations
11 papers, 644 citations indexed

About

Claus Krebber is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Ecology. According to data from OpenAlex, Claus Krebber has authored 11 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Molecular Biology and 5 papers in Ecology. Recurrent topics in Claus Krebber's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (7 papers) and Bacteriophages and microbial interactions (5 papers). Claus Krebber is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (7 papers) and Bacteriophages and microbial interactions (5 papers). Claus Krebber collaborates with scholars based in Switzerland, United States and Germany. Claus Krebber's co-authors include Andreas Plückthun, Annemarie Honegger, Stefania Spada, Dominique Desplancq, Achim Knappik, Anke Krebber, Liming Ge, Elisabeth Kremmer, Ralph Mocikat and Peter Lindner and has published in prestigious journals such as Nature Biotechnology, Journal of Molecular Biology and FEBS Letters.

In The Last Decade

Claus Krebber

11 papers receiving 617 citations

Peers

Claus Krebber
Patricia E. Devlin United Kingdom
M. He United Kingdom
Rene Hoet Netherlands
Remko A. Griep Netherlands
Zhaojun Ren United States
Patricia E. Devlin United Kingdom
Claus Krebber
Citations per year, relative to Claus Krebber Claus Krebber (= 1×) peers Patricia E. Devlin

Countries citing papers authored by Claus Krebber

Since Specialization
Citations

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

Fields of papers citing papers by Claus Krebber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claus Krebber

This figure shows the co-authorship network connecting the top 25 collaborators of Claus Krebber. A scholar is included among the top collaborators of Claus Krebber 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 Claus Krebber. Claus Krebber 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.
Singh, Shweta, Claus Krebber, Shouchun Liu, et al.. (2018). Abstract B103: A multi-analyte HPLC-MS/MS approach to assessing exposure of a Probody drug conjugate in preclinical studies. Molecular Cancer Therapeutics. 17(1_Supplement). B103–B103. 3 indexed citations
2.
Arndt, Katja M., Sabine Jung, Claus Krebber, & Andreas Plückthun. (2000). [22] Selectively infective phage technology. Methods in enzymology on CD-ROM/Methods in enzymology. 328. 364–388. 3 indexed citations
3.
Hennecke, Frank, Claus Krebber, & Andreas Plückthun. (1998). Non-repetitive single-chain Fv linkers selected by selectively infective phage (SIP) technology. Protein Engineering Design and Selection. 11(5). 405–410. 28 indexed citations
4.
Honegger, Annemarie, et al.. (1997). Affinity and folding properties both influence the selection of antibodies with the selectively infective phage (SIP) methodology. FEBS Letters. 415(3). 289–293. 28 indexed citations
5.
Honegger, Annemarie, et al.. (1997). Disrupting the hydrophobic patches at the antibody variable/constant domain interface: improved in vivo folding and physical characterization of an engineered scFv fragment. Protein Engineering Design and Selection. 10(4). 435–444. 200 indexed citations
6.
Krebber, Claus, Stefania Spada, Dominique Desplancq, et al.. (1997). Selectively-infective phage (SIP): a mechanistic dissection of a novel in vivo selection for protein-ligand interactions. Journal of Molecular Biology. 268(3). 607–618. 82 indexed citations
7.
Lindner, Peter, Anke Krebber, Elisabeth Kremmer, et al.. (1997). Specific Detection of His-Tagged Proteins with Recombinant Anti-His Tag scFv-Phosphatase or scFv-Phage Fusions. BioTechniques. 22(1). 140–149. 95 indexed citations
8.
Spada, Stefania, Claus Krebber, & Andreas Plückthun. (1997). Review. Biological Chemistry. 378(6). 445–56. 26 indexed citations
9.
Kalinke, Ulrich, Anke Krebber, Claus Krebber, et al.. (1996). Monovalent single‐chain Fv fragments and bivalent miniantibodies bound to vesicular stomatitis virus protect against lethal infection. European Journal of Immunology. 26(12). 2801–2806. 30 indexed citations
10.
Krebber, Claus, Stefania Spada, Dominique Desplancq, & Andreas Plückthun. (1995). Co‐selection of cognate antibody‐antigen pairs by selectively‐infective phages. FEBS Letters. 377(2). 227–231. 63 indexed citations
11.
Knappik, Achim, Claus Krebber, & Andreas Plückthun. (1993). The Effect of Folding Catalysts on the In Vivo Folding Process of Different Antibody Fragments Expressed in Escherichia coli. Nature Biotechnology. 11(1). 77–83. 86 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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