Bernhard Auer
- Physiology top 5%
- Calcium signaling and nucleotide metabolism 6
- Oncology top 10%
- PARP inhibition in cancer therapy 13
- Molecular Biology top 10%
- DNA Repair Mechanisms 7
- RNA and protein synthesis mechanisms 5
- Cell death mechanisms and regulation 4
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins 9
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- Bacterial Genetics and Biotechnology 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Manfred SchweigerPeter KaiserRainer SchneiderChristian TagwerkerLan HuangKarin FlickYimeng DouMeng Cui
- Cited by
- PhysiologyOncologyMolecular Biology
- Journals
- FEBS Letters (5 papers)Biochemistry (3 papers)Molecular and Cellular Biochemistry (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Bernhard Auer
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Physiology 82
- Oncology 448
- Molecular Biology 1.1k
- Immunology 237
- Cell Biology 107
Countries citing papers authored by Bernhard Auer
This map shows the geographic impact of Bernhard 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 Bernhard Auer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Auer more than expected).
Fields of papers citing papers by Bernhard Auer
This network shows the impact of papers produced by Bernhard 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 Bernhard Auer. The network helps show where Bernhard Auer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bernhard 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 | 2013 | 3 | |
| 2 | 2010 | 3 | |
| 3 | 2009 | 29 | |
| 4 | 2006 | 298 | |
| 5 | 2006 | 45 | |
| 6 | 1999 | 47 | |
| 7 | 1999 | 51 | |
| 8 | 1997 | 11 | |
| 9 | 1997 | 34 | |
| 10 | 1997 | 38 | |
| 11 | 1996 | 54 | |
| 12 | 1996 | 21 | |
| 13 | 1995 | 18 | |
| 14 | 1995 | 32 | |
| 15 | 1995 | 58 | |
| 16 | 1994 | 7 | |
| 17 | 1994 | 12 | |
| 18 | 1992 | 38 | |
| 19 | 1989 | 29 | |
| 20 | 1987 | 8 |
About Bernhard Auer
Bernhard Auer is a scholar working on Physiology, Oncology, Immunology, Molecular Biology and Transplantation, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (13 papers), Toxin Mechanisms and Immunotoxins (9 papers), DNA Repair Mechanisms (7 papers), Calcium signaling and nucleotide metabolism (6 papers), RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Cell death mechanisms and regulation (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Physiology (82 citations), Oncology (448 citations), Molecular Biology (1.1k citations), Immunology (237 citations) and Cell Biology (107 citations). Bernhard Auer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Manfred Schweiger, Peter Kaiser, Rainer Schneider, Christian Tagwerker, Lan Huang, Karin Flick, Yimeng Dou, Meng Cui, Pierre Baldi and Rainer Marksteiner. Their work appears in journals such as FEBS Letters, Biochemistry, Molecular and Cellular Biochemistry, Human Mutation and European Journal of Biochemistry.
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.