G. Zehetner
Impact in
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- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Machine Learning in Bioinformatics
- Genetics top 10%
Papers in
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- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 5
- Animal Genetics and Reproduction 4
- Co-authors
- Hans Lehrach (9 shared papers)Dean Nižetić (4 shared papers)Thomas M. Gress (3 shared papers)Bryan D. Young (2 shared papers)Annemarie Poustka (3 shared papers)Anthony P. Monaco (1 shared paper)Gregory G. Lennon (1 shared paper)F. Müller-Pillasch (2 shared papers)
- Journals
- Mammalian Genome (3 papers)Nucleic Acids Research (3 papers)Gene (1 paper)European Journal of Cancer (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
G. Zehetner
12 papers receiving 761 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 626
- Genetics 200
- Cancer Research 59
- Cell Biology 48
- Oncology 79
Countries citing papers authored by G. Zehetner
This map shows the geographic impact of G. Zehetner'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 G. Zehetner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Zehetner more than expected).
Fields of papers citing papers by G. Zehetner
This network shows the impact of papers produced by G. Zehetner. 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 G. Zehetner. The network helps show where G. Zehetner may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Zehetner, 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 | A pancreatic cancer-specific expression profile. | 1996 | 137 |
| 2 | 1991 | 130 | |
| 3 | 1992 | 99 | |
| 4 | 1985 | 98 | |
| 5 | 2003 | 83 | |
| 6 | 1990 | 71 | |
| 7 | 1986 | 56 | |
| 8 | 1988 | 56 | |
| 9 | 1994 | 43 | |
| 10 | 1994 | 9 | |
| 11 | 1995 | 5 | |
| 12 | 1994 | 3 |
About G. Zehetner
G. Zehetner is a scholar working on Molecular Biology, Genetics, Oncology, Plant Science and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 790 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Chromosomal and Genetic Variations (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Molecular Biology (626 citations), Genetics (200 citations), Cancer Research (59 citations), Cell Biology (48 citations) and Oncology (79 citations). G. Zehetner has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hans Lehrach, Dean Nižetić, Thomas M. Gress, Bryan D. Young, Annemarie Poustka, Anthony P. Monaco, Gregory G. Lennon, F. Müller-Pillasch, G. Adler and Helmut Friess. Their work appears in journals such as Mammalian Genome, Nucleic Acids Research, Gene, European Journal of Cancer and Proceedings of the National Academy of Sciences.
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.