Norbert Peekhaus

866 total citations
18 papers, 644 citations indexed

About

Norbert Peekhaus is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Norbert Peekhaus has authored 18 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Norbert Peekhaus's work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (5 papers) and Estrogen and related hormone effects (4 papers). Norbert Peekhaus is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (5 papers) and Estrogen and related hormone effects (4 papers). Norbert Peekhaus collaborates with scholars based in United States, Germany and Sweden. Norbert Peekhaus's co-authors include Tyrrell Conway, Reinhard Krämer, Lothar Eggeling, Hermann Sahm, Christoph Bausch, Elizabeth Murray, Todd L. Lowary, Suxiang Tong, Bert Poolman and Sha Ha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Norbert Peekhaus

17 papers receiving 625 citations

Peers

Norbert Peekhaus

GENET

BIOCH

Karthik Veeravalli United States

S. Brokx Canada

Charles F. Sio Netherlands

Jean-Marc Jeckelmann Switzerland

Sook‐Kyung Kim South Korea

J F Mayaux France

Ole Michelsen Denmark

Jeremiah D. Farelli United States

Rikki N. Hvorup United States

V. Yu. Kotova Russia

Karthik Veeravalli United States

Norbert Peekhaus

391 ×0.8

63 ×0.4

GENET

49 ×0.6

77 ×0.9

86 ×1.2

BIOCH

Citations per year, relative to Norbert Peekhaus Norbert Peekhaus (= 1×) peers Karthik Veeravalli

Countries citing papers authored by Norbert Peekhaus

Since Specialization

Citations

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

Fields of papers citing papers by Norbert Peekhaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Peekhaus

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

All Works

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18 of 18 papers shown

Ulmert, David, Julie E. Park, Katharina Lückerath, et al.. (2024). Impact of site-specific conjugation strategies on the pharmacokinetics of antibody conjugated radiotherapeutics. European Journal of Medicinal Chemistry. 280. 116927–116927.

Bicak, Mesude, Darren R. Veach, Katharina Lückerath, et al.. (2023). Quantitative In Vivo Imaging of the Androgen Receptor Axis Reveals Degree of Prostate Cancer Radiotherapy Response. Molecular Cancer Research. 21(4). 307–315. 2 indexed citations

Bicak, Mesude, Katharina Lückerath, Teja Kalidindi, et al.. (2020). Genetic signature of prostate cancer mouse models resistant to optimized hK2 targeted α-particle therapy. Proceedings of the National Academy of Sciences. 117(26). 15172–15181. 18 indexed citations

Wang, Shi‐Yi, et al.. (2010). Separation of post-translational modifications in monoclonal antibodies by exploiting subtle conformational changes under mildly acidic conditions. Journal of Chromatography A. 1217(42). 6496–6502. 33 indexed citations

Peekhaus, Norbert, et al.. (2008). The tryptophan synthetase gene TRP1 of Nodulisporium sp.: molecular characterization and its relation to nodulisporic acid A production. Applied Microbiology and Biotechnology. 79(3). 451–459. 11 indexed citations

Chen, Fang, Qin Su, Maricel Torrent, et al.. (2007). Identification and characterization of a novel nonsecosteroidal vitamin D receptor ligand. Drug Development Research. 68(2). 51–60. 3 indexed citations

Peekhaus, Norbert, et al.. (2006). Characterization of a novel transporter family that includes multiple Escherichia coli gluconate transporters and their homologues. FEMS Microbiology Letters. 147(2). 233–238. 13 indexed citations

Shi, Xiaoqing, Wei Zheng, Jonathan E. Schneeweis, et al.. (2005). A Short-Incubation Reporter-Gene Assay for High-Throughput Screening of Estrogen Receptor-α Antagonists. Assay and Drug Development Technologies. 3(4). 393–400. 4 indexed citations

Peekhaus, Norbert, Marc Ferrer, Oleg Kornienko, et al.. (2003). A β -Lactamase-Dependent Gal4-Estrogen Receptor β Transactivation Assay for the Ultra-High Throughput Screening of Estrogen Receptor β Agonists in a 3,456-Well Format. Assay and Drug Development Technologies. 1(6). 789–800. 26 indexed citations

10.

Bausch, Christoph, et al.. (1998). Sequence Analysis of the GntII (Subsidiary) System for Gluconate Metabolism Reveals a Novel Pathway for l -Idonic Acid Catabolism in Escherichia coli. Journal of Bacteriology. 180(14). 3704–3710. 68 indexed citations

11.

Peekhaus, Norbert & Tyrrell Conway. (1998). What’s for Dinner?: Entner-Doudoroff Metabolism in Escherichia coli. Journal of Bacteriology. 180(14). 3495–3502. 231 indexed citations

12.

Peekhaus, Norbert & Tyrrell Conway. (1998). Positive and Negative Transcriptional Regulation of the Escherichia coli Gluconate Regulon Gene gntT by GntR and the Cyclic AMP (cAMP)-cAMP Receptor Protein Complex. Journal of Bacteriology. 180(7). 1777–1785. 58 indexed citations

13.

Peekhaus, Norbert. (1997). Characterization of a novel transporter family that includes multiple Escherichia coli gluconate transporters and their homologues. FEMS Microbiology Letters. 147(2). 233–238. 2 indexed citations

14.

Peekhaus, Norbert, et al.. (1997). Kinetics of Sugar Transport and Phosphorylation Influence Glucose and Fructose Cometabolism by Zymomonas mobilis. Applied and Environmental Microbiology. 63(9). 3519–3525. 27 indexed citations

15.

Peekhaus, Norbert, et al.. (1997). Molecular genetic characterization of the Escherichia coli gntT gene of GntI, the main system for gluconate metabolism. Journal of Bacteriology. 179(5). 1584–1590. 39 indexed citations

16.

Peekhaus, Norbert & Reinhard Krämer. (1996). The gluEMP operon from Zymomonas mobilis encodes a high-affinity glutamate carrier with similiarity to binding-protein-dependent transport systems. Archives of Microbiology. 165(5). 325–332. 1 indexed citations

17.

Peekhaus, Norbert, et al.. (1995). Structure of the gluABCD cluster encoding the glutamate uptake system of Corynebacterium glutamicum. Journal of Bacteriology. 177(5). 1152–1158. 83 indexed citations

18.

Peekhaus, Norbert, Berend Tolner, Bert Poolman, & Reinhard Krämer. (1995). The glutamate uptake regulatory protein (Grp) of Zymomonas mobilis and its relation to the global regulator Lrp of Escherichia coli. Journal of Bacteriology. 177(17). 5140–5147. 25 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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