Norbert Auer
Impact in
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- Viral Infectious Diseases and Gene Expression in Insects
- CRISPR and Genetic Engineering
- Protein purification and stability
- RNA Interference and Gene Delivery
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- Virus-based gene therapy research
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 7
- Protein purification and stability 3
- RNA Interference and Gene Delivery 2
- Metabolomics and Mass Spectrometry Studies 1
- Gene expression and cancer classification 1
- Genetics 5
- Virus-based gene therapy research 4
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Nicole Borth (8 shared papers)Martina Baumann (6 shared papers)Vaibhav Jadhav (6 shared papers)Matthias Hackl (3 shared papers)Friedrich Leisch (2 shared papers)Michael Melcher (2 shared papers)Till Wenger (2 shared papers)Angelika Merkel (2 shared papers)
- Journals
- Biotechnology and Bioengineering (3 papers)Biotechnology Journal (2 papers)Cytometry Part A (1 paper)Journal of Biotechnology (1 paper)Electrophoresis (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Norbert Auer
9 papers receiving 347 citations
Peers
Comparison fields: 5 of 41
- Molecular Biology 335
- Genetics 125
- Biotechnology 23
- Radiology, Nuclear Medicine and Imaging 34
- Oncology 32
Countries citing papers authored by Norbert Auer
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
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-authors
The 25 scholars most cited alongside Norbert Auer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 120 | |
| 2 | 2017 | 68 | |
| 3 | 2018 | 44 | |
| 4 | 2018 | 43 | |
| 5 | 2017 | 29 | |
| 6 | 2015 | 24 | |
| 7 | 2007 | 18 | |
| 8 | 2018 | 6 | |
| 9 | 2014 | 1 |
About Norbert Auer
Norbert Auer is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Spectroscopy and Plant Science, having authored 9 papers that have together received 353 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Virus-based gene therapy research (4 papers), Protein purification and stability (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Gene expression and cancer classification (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Molecular Biology (335 citations), Genetics (125 citations), Biotechnology (23 citations), Radiology, Nuclear Medicine and Imaging (34 citations) and Oncology (32 citations). Norbert Auer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Nicole Borth, Martina Baumann, Vaibhav Jadhav, Matthias Hackl, Friedrich Leisch, Michael Melcher, Till Wenger, Angelika Merkel, Simon Heath and Daniel Rico. Their work appears in journals such as Biotechnology and Bioengineering, Biotechnology Journal, Cytometry Part A, Journal of Biotechnology and Electrophoresis.
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.