Norbert Auer

430 total citations
9 papers, 337 citations indexed

About

Norbert Auer is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Norbert Auer has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Animal Science and Zoology. Recurrent topics in Norbert Auer's work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Virus-based gene therapy research (4 papers) and Protein purification and stability (3 papers). Norbert Auer is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (7 papers), Virus-based gene therapy research (4 papers) and Protein purification and stability (3 papers). Norbert Auer collaborates with scholars based in Austria, Germany and Spain. Norbert Auer's co-authors include Nicole Borth, Martina Baumann, Vaibhav Jadhav, Matthias Hackl, Till Wenger, Friedrich Leisch, Michael Melcher, Inmaculada Hernández, Daniel Rico and Michael Hanscho and has published in prestigious journals such as Biotechnology and Bioengineering, Journal of Biotechnology and Electrophoresis.

In The Last Decade

Norbert Auer

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norbert Auer Austria 7 325 132 33 29 25 9 337
Anne Kantardjieff United States 8 310 1.0× 104 0.8× 50 1.5× 17 0.6× 31 1.2× 9 329
Kelley Heffner United States 9 343 1.1× 91 0.7× 61 1.8× 27 0.9× 27 1.1× 11 356
Nitya M. Jacob United States 9 330 1.0× 116 0.9× 49 1.5× 16 0.6× 22 0.9× 12 340
Juan A. Hernández Bort Austria 11 460 1.4× 135 1.0× 40 1.2× 37 1.3× 32 1.3× 22 486
Joon Chong Yee United States 9 451 1.4× 143 1.1× 110 3.3× 35 1.2× 51 2.0× 9 469
Xiao-Yin Wang China 11 260 0.8× 118 0.9× 27 0.8× 38 1.3× 14 0.6× 25 298
Daniel Ley Denmark 7 255 0.8× 60 0.5× 55 1.7× 15 0.5× 21 0.8× 7 270
John J. Scarcelli United States 12 643 2.0× 52 0.4× 77 2.3× 39 1.3× 27 1.1× 17 686
Peter M. O’Callaghan United Kingdom 6 390 1.2× 174 1.3× 108 3.3× 45 1.6× 34 1.4× 8 405
Mariati Singapore 8 350 1.1× 165 1.3× 111 3.4× 31 1.1× 26 1.0× 9 372

Countries citing papers authored by Norbert Auer

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Auer

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

All Works

9 of 9 papers shown
1.
Auer, Norbert, et al.. (2018). ChromaWizard: An open source image analysis software for multicolor fluorescence in situ hybridization analysis. Cytometry Part A. 93(7). 749–754. 6 indexed citations
2.
Melcher, Michael, Norbert Auer, Friedrich Leisch, et al.. (2018). Changes in Chromosome Counts and Patterns in CHO Cell Lines upon Generation of Recombinant Cell Lines and Subcloning. Biotechnology Journal. 13(3). e1700495–e1700495. 42 indexed citations
3.
Hernández, Inmaculada, Heena Dhiman, Gerald Klanert, et al.. (2018). Epigenetic regulation of gene expression in Chinese Hamster Ovary cells in response to the changing environment of a batch culture. Biotechnology and Bioengineering. 116(3). 677–692. 40 indexed citations
4.
Klanert, Gerald, Norbert Auer, Matthias Hackl, et al.. (2017). Transcriptomic changes in CHO cells after adaptation to suspension growth in protein-free medium analysed by a species-specific microarray. Journal of Biotechnology. 257. 13–21. 29 indexed citations
5.
Jadhav, Vaibhav, Michael Melcher, Norbert Auer, et al.. (2017). Karyotype variation of CHO host cell lines over time in culture characterized by chromosome counting and chromosome painting. Biotechnology and Bioengineering. 115(1). 165–173. 64 indexed citations
6.
Feichtinger, Julia, Inmaculada Hernández, Christoph Fischer, et al.. (2016). Comprehensive genome and epigenome characterization of CHO cells in response to evolutionary pressures and over time. Biotechnology and Bioengineering. 113(10). 2241–2253. 113 indexed citations
7.
Harreither, Eva, Matthias Hackl, Norbert Auer, et al.. (2015). Microarray profiling of preselected CHO host cell subclones identifies gene expression patterns associated with in‐creased production capacity. Biotechnology Journal. 10(10). 1625–1638. 24 indexed citations
8.
Jadhav, Vaibhav, et al.. (2014). Development of a method to quantify genomic rearrangements in Chinese Hamster Ovary cells. New Biotechnology. 31. S187–S187. 1 indexed citations
9.
Auer, Norbert, et al.. (2007). Effect of CyDye minimum labeling in differential gel electrophoresis on the reliability of protein identification. Electrophoresis. 28(7). 1161–1169. 18 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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