Peter Brünker

3.6k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Peter Brünker is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Peter Brünker has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Genetics. Recurrent topics in Peter Brünker's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Peter Brünker is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Peter Brünker collaborates with scholars based in Switzerland, Germany and Sweden. Peter Brünker's co-authors include Pablo Umaña, Claudia Ferrara, Peter Sondermann, Fiona Stuart, Michael Hennig, Sandra Grau, Jörg Benz, A. Ruf, Christiane Jäger and Inja Waldhauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Peter Brünker

17 papers receiving 1.4k citations

Hit Papers

Unique carbohydrate–carbohydrate interactions are require... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Brünker Switzerland 12 1.1k 949 588 130 102 18 1.5k
Ana María Vázquez Cuba 24 1.2k 1.0× 448 0.5× 731 1.2× 102 0.8× 214 2.1× 80 1.6k
Por‐Hsiung Lai United States 17 1.0k 0.9× 236 0.2× 336 0.6× 152 1.2× 147 1.4× 24 1.5k
Tyler J. Stewart United States 7 1.2k 1.0× 176 0.2× 386 0.7× 63 0.5× 104 1.0× 9 1.6k
Ikuo Funakoshi Japan 19 938 0.8× 262 0.3× 241 0.4× 102 0.8× 66 0.6× 47 1.2k
Parimal R. Desai United States 15 601 0.5× 226 0.2× 320 0.5× 35 0.3× 55 0.5× 25 895
Howard A. Kaplan United States 14 715 0.6× 135 0.1× 327 0.6× 80 0.6× 49 0.5× 23 1.1k
Bojana Popovic United Kingdom 15 685 0.6× 342 0.4× 149 0.3× 119 0.9× 36 0.4× 21 1.0k
Vangipuram S. Rangan United States 20 716 0.6× 237 0.2× 295 0.5× 37 0.3× 368 3.6× 38 1.2k
Samantha Lien Australia 11 675 0.6× 528 0.6× 147 0.3× 44 0.3× 101 1.0× 15 934
James H. Bourell United States 15 547 0.5× 370 0.4× 143 0.2× 39 0.3× 143 1.4× 17 1.1k

Countries citing papers authored by Peter Brünker

Since Specialization
Citations

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

Fields of papers citing papers by Peter Brünker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Brünker

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Brünker. A scholar is included among the top collaborators of Peter Brünker 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 Peter Brünker. Peter Brünker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Schneider, Anneliese, Thomas Höfer, Johannes Sam, et al.. (2024). Abstract 1235: Impact of anti-CD3 and tumor-target binder affinities on in-vitro potency, in-vivo efficacy, and cytokine release. Cancer Research. 84(6_Supplement). 1235–1235.
2.
Jöst, Christian, Kay Stubenrauch, Uwe Wessels, et al.. (2019). P329G-CAR-J: a novel Jurkat-NFAT-based CAR-T reporter system recognizing the P329G Fc mutation. Protein Engineering Design and Selection. 32(5). 207–218. 8 indexed citations
3.
Ferrara, Claudia, Sandra Grau, Christiane Jäger, et al.. (2011). Unique carbohydrate–carbohydrate interactions are required for high affinity binding between FcγRIII and antibodies lacking core fucose. Proceedings of the National Academy of Sciences. 108(31). 12669–12674. 594 indexed citations breakdown →
4.
Ashraf, Shazad Q., Pablo Umaña, Ekkehard Mössner, et al.. (2009). Humanised IgG1 antibody variants targeting membrane-bound carcinoembryonic antigen by antibody-dependent cellular cytotoxicity and phagocytosis. British Journal of Cancer. 101(10). 1758–1768. 21 indexed citations
6.
Ferrara, Claudia, Fiona Stuart, Peter Sondermann, Peter Brünker, & Pablo Umaña. (2005). The Carbohydrate at FcγRIIIa Asn-162. Journal of Biological Chemistry. 281(8). 5032–5036. 281 indexed citations
7.
Dyer, Martin J.S., Samuel Moser, Peter Brünker, et al.. (2005). Enhanced Potency of Glycoengineered Anti-CD52 Monoclonal Antibodies (MAbs).. Blood. 106(11). 2958–2958. 4 indexed citations
8.
Schuster, Manfred, Pablo Umaña, Claudia Ferrara, et al.. (2005). Improved Effector Functions of a Therapeutic Monoclonal Lewis Y-Specific Antibody by Glycoform Engineering. Cancer Research. 65(17). 7934–7941. 70 indexed citations
9.
Schuster, Manfred, Pablo Umaña, Peter Brünker, et al.. (2004). Increased effector functions of a monoclonal antibody by glycoform engineering. Cancer Cell International. 4(S1). 1 indexed citations
10.
Brünker, Peter, Olov Sterner, James E. Bailey, & Wolfgang Minas. (2001). Heterologous expression of the naphthocyclinone hydroxylase gene from Streptomyces arenae for production of novel hybrid polyketides. Antonie van Leeuwenhoek. 79(3-4). 235–245. 16 indexed citations
11.
Brünker, Peter, Kristine McKinney, Olov Sterner, Wolfgang Minas, & James E. Bailey. (1999). Isolation and characterization of the naphthocyclinone gene cluster from Streptomyces arenae DSM 40737 and heterologous expression of the polyketide synthase genes. Gene. 227(2). 125–135. 21 indexed citations
12.
Minas, Wolfgang, Peter Brünker, Pauli T. Kallio, & James E. Bailey. (1998). Improved Erythromycin Production in a Genetically Engineered Industrial Strain of Saccharopolyspora erythraea. Biotechnology Progress. 14(4). 561–566. 61 indexed citations
13.
Brünker, Peter, Josef Altenbuchner, & Ralf Mattes. (1998). Structure and function of the genes involved in mannitol, arabitol and glucitol utilization from Pseudomonas fluorescens DSM50106. Gene. 206(1). 117–126. 29 indexed citations
15.
16.
Brünker, Peter, Josef Altenbuchner, Klaus D. Kulbe, & Ralf Mattes. (1997). Cloning, nucleotide sequence and expression of a mannitol dehydrogenase gene from Pseudomonas fluorescens DSM 50106 in Escherichia coli. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1351(1-2). 157–167. 51 indexed citations
17.
Brünker, Peter, et al.. (1996). Regulation of the operon responsible for broad-spectrum mercury resistance inStreptomyces lividans 1326. Molecular and General Genetics MGG. 251(3). 307–315. 24 indexed citations
18.
Brünker, Peter, Dagmar Röther, Reinhard Sedlmeier, et al.. (1996). Regulation of the operon responsible for broad-spectrum mercury resistance in. Molecular and General Genetics MGG. 251(3). 307–307. 1 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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